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Cooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Different Solution Concepts A Small Market Imputations and the Core The Glove Market Divide the Dollar Dominance Relations Other Solution Concepts Shapley Value Definition River Cleanup Shapley-Shubik Power Index UN Security Council Multichoice Games Extensions of Cooperative Game Theory Definitions Examples Extensions of the Shapley Value Cooperative Game Theory Jennifer Wilson Department of Natural Sciences and Mathematics Eugene Lang College The New School for Liberal Arts August 6, 2008

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Page 1: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Cooperative Game Theory

Jennifer Wilson

Department of Natural Sciences and MathematicsEugene Lang College The New School for Liberal Arts

August 6, 2008

Page 2: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

IntroductionRelationship between Non-cooperative and CooperativeGamesCooperative GameTheory

A Survey of Different Solution ConceptsA Small MarketImputations and the CoreThe Glove MarketDivide the DollarDominance RelationsOther Solution Concepts

Shapley ValueDefinitionRiver CleanupShapley-Shubik Power IndexUN Security Council

Multichoice GamesExtensions of Cooperative Game TheoryDefinitionsExamplesExtensions of the Shapley Value

Page 3: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

A Three-Person Zero-Sum Game[Rapoport, 1970]

Example

zero-sum game.pdf

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.............................................................................................................................................................................................................................................................................................................

Player 3: B

Player 2

Player 1

A B

A

B (−6, 12,−6)

(−2,−1, 3) (2,−4, 2)

(3,−1,−2)

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.............................................................................................................................................................................................................................................................................................................

Player 3: A

Player 2

Player 1

A B

A

B (3, 1,−4)

(1,−2, 1) (−4, 1, 3)

(−5, 10,−5)

1

Page 4: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

A Three-Person Zero-Sum Game[Rapoport, 1970]

Example

............................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................ ........

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.............................................................................................................................................................................................................................................................................................................

Player 3: B

Player 2

Player 1

A B

A

B (−6, 12,−6)

(−2,−1,3) (2,−4, 2)

(3,−1,−2)

←−x−→

y.....................................................................................................................................................................................................................................................................................................................

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.............................................................................................................................................................................................................................................................................................................

Player 3: A

Player 2

Player 1

A B

A

B (3, 1,−4)

(1,−2, 1) (−4,1,3)

(−5, 10,−5)

−→ x−→

y

1

Page 5: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

A Three-Person Zero-Sum Game[Rapoport, 1970]

Example

zero-sum game.pdf

............................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................ ........

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.............................................................................................................................................................................................................................................................................................................

Player 3: B

Player 2

Player 1

A B

A

B (−6, 12,−6)

(−2,−1, 3) (2,−4, 2)

(3,−1,−2)

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.............................................................................................................................................................................................................................................................................................................

Player 3: A

Player 2

Player 1

A B

A

B (3, 1,−4)

(1,−2, 1) (−4, 1, 3)

(−5, 10,−5)

1

vs 2and3.pdf

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.................................................................................................................................................................................................................................................................................................................................................................................................................

Player 2 & 3

Player 1

AA AB BA BB

A

B

(1,−1)

(3,−3)

(−2, 2)

(−6, 6)

(−4, 4)

(−5, 5)

(2,−2)

(3,−3)

1

Page 6: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

A Three-Person Zero-Sum Game[Rapoport, 1970]

Example

vs 2and3 a.pdf

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.................................................................................................................................................................................................................................................................................................................................................................................................................

Player 2 & 3

Player 1

AA AB BA BB

A

B

(1,−1)

(3,−3)

(−2, 2)

(−6, 6)

(−4, 4)

(−5, 5)

(2,−2)

(3,−3)

................................................................................................................................................................................................................................

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.................................................................................................................................................................................................................................................................................................................................................................................................................

Player 2 & 3

Player 1

AA AB BA BB

A

B

(1,−1)

(3,−3)

(−2, 2)

(−6, 6)

(−4, 4)

(−5, 5)

(2,−2)

(3,−3)

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.................................................................................................................................................................................................................................................................................................................................................................................................................

Player 2 & 3

Player 1

AA AB BA BB

A

B

(1,−1)

(3,−3)

(−2, 2)

(−6, 6)

(−4, 4)

(−5, 5)

(2,−2)

(3,−3)

................................................................................................................................................................................................................................

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.................................................................................................................................................................................................................................................................................................................................................................................................................

Player 2 & 3

Player 1

AA AB BA BB

A

B

(1,−1)

(3,−3)

(−2, 2)

(−6, 6)

(−4, 4)

(−5, 5)

(2,−2)

(3,−3)

................................................................................................................................................................................................................................

................................................................................................................................................................................................................................

.......................................................................

.......................................................................

..............................................................................................................................................

.......................................................................

.......................................................................

1

So ν(1) = −4 and ν(2, 3) = 4.

Page 7: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

A Three-Person Zero-Sum Game[Rapoport, 1970]

Example

vs 2and3 a.pdf

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.................................................................................................................................................................................................................................................................................................................................................................................................................

Player 2 & 3

Player 1

AA AB BA BB

A

B

(1,−1)

(3,−3)

(−2, 2)

(−6, 6)

(−4, 4)

(−5, 5)

(2,−2)

(3,−3)

................................................................................................................................................................................................................................

................................................................................................................................................................................................................................

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.................................................................................................................................................................................................................................................................................................................................................................................................................

Player 2 & 3

Player 1

AA AB BA BB

A

B

(1,−1)

(3,−3)

(−2, 2)

(−6, 6)

(−4, 4)

(−5, 5)

(2,−2)

(3,−3)

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.................................................................................................................................................................................................................................................................................................................................................................................................................

Player 2 & 3

Player 1

AA AB BA BB

A

B

(1,−1)

(3,−3)

(−2, 2)

(−6, 6)

(−4, 4)

(−5, 5)

(2,−2)

(3,−3)

................................................................................................................................................................................................................................

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.................................................................................................................................................................................................................................................................................................................................................................................................................

Player 2 & 3

Player 1

AA AB BA BB

A

B

(1,−1)

(3,−3)

(−2, 2)

(−6, 6)

(−4, 4)

(−5, 5)

(2,−2)

(3,−3)

................................................................................................................................................................................................................................

................................................................................................................................................................................................................................

.......................................................................

.......................................................................

..............................................................................................................................................

.......................................................................

.......................................................................

1

So ν(1) = −4 and ν(2, 3) = 4.

Page 8: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

A Three-Person Zero-Sum Game[Rapoport, 1970]

Example

vs 1and3 a.pdf

.................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................... ........

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.................................................................................................................................................................................................................................................................................................................................................................................................................

Player 1 & 3

Player 2

AAq

AB1− q

BA BB

A p

B 1− p

(2,−2)

(1,−1)

(−1, 1)

(−4, 4)

(−1, 1)

(10,−10)

(12,−12)

(−1, 1)

................................................................................................................................................................................................................................

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.................................................................................................................................................................................................................................................................................................................................................................................................................

Player 1 & 3

Player 2

AA AB BA BB

A

B

(2,−2)

(1,−1)

(−1, 1)

(−4, 4)

(−1, 1)

(10,−10)

(12,−12)

(−1, 1)

1

Solving, gives p = 56 and q = 1

2 .So ν(2) = −1.5 and ν(1, 3) = 1.5.Similarly ν(3) = −4.48 and ν(1, 2) = 4.48.

Page 9: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

A Three-Person Zero-Sum Game[Rapoport, 1970]

Example

vs 1and3 a.pdf

.................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................... ........

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.................................................................................................................................................................................................................................................................................................................................................................................................................

Player 1 & 3

Player 2

AAq

AB1− q

BA BB

A p

B 1− p

(2,−2)

(1,−1)

(−1, 1)

(−4, 4)

(−1, 1)

(10,−10)

(12,−12)

(−1, 1)

................................................................................................................................................................................................................................

................................................................................................................................................................................................................................

.................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................... ........

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.................................................................................................................................................................................................................................................................................................................................................................................................................

Player 1 & 3

Player 2

AA AB BA BB

A

B

(2,−2)

(1,−1)

(−1, 1)

(−4, 4)

(−1, 1)

(10,−10)

(12,−12)

(−1, 1)

1

Solving, gives p = 56 and q = 1

2 .So ν(2) = −1.5 and ν(1, 3) = 1.5.

Similarly ν(3) = −4.48 and ν(1, 2) = 4.48.

Page 10: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

A Three-Person Zero-Sum Game[Rapoport, 1970]

Example

vs 1and3 a.pdf

.................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................... ........

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.

.................................................................................................................................................................................................................................................................................................................................................................................................................

Player 1 & 3

Player 2

AAq

AB1− q

BA BB

A p

B 1− p

(2,−2)

(1,−1)

(−1, 1)

(−4, 4)

(−1, 1)

(10,−10)

(12,−12)

(−1, 1)

................................................................................................................................................................................................................................

................................................................................................................................................................................................................................

.................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................... ........

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........

.

.................................................................................................................................................................................................................................................................................................................................................................................................................

Player 1 & 3

Player 2

AA AB BA BB

A

B

(2,−2)

(1,−1)

(−1, 1)

(−4, 4)

(−1, 1)

(10,−10)

(12,−12)

(−1, 1)

1

Solving, gives p = 56 and q = 1

2 .So ν(2) = −1.5 and ν(1, 3) = 1.5.Similarly ν(3) = −4.48 and ν(1, 2) = 4.48.

Page 11: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

A Three-Person Zero-Sum Game[Rapoport, 1970]

Example

Summary:ν(1) = −4, ν(2) = −1.5, ν(3) = −4.48,ν(2, 3) = 4, ν(1, 2) = 4.48 and ν(1, 3) = 1.5.

It’s advantageous to form a coalition.

Which coalitions should form?Player 1 versus Players 2 & 3: (−4, 1, 3)Player 2 versus Players 1 & 3: (−0.58, 1.5, 2.08)Player 3 versus Players 1 & 2: (−0.56, 5.04,−4.48)

What should each player receive from the game?

Page 12: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

A Three-Person Zero-Sum Game[Rapoport, 1970]

Example

Summary:ν(1) = −4, ν(2) = −1.5, ν(3) = −4.48,ν(2, 3) = 4, ν(1, 2) = 4.48 and ν(1, 3) = 1.5.

It’s advantageous to form a coalition.

Which coalitions should form?Player 1 versus Players 2 & 3: (−4, 1, 3)Player 2 versus Players 1 & 3: (−0.58, 1.5, 2.08)Player 3 versus Players 1 & 2: (−0.56, 5.04,−4.48)

What should each player receive from the game?

Page 13: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

A Three-Person Zero-Sum Game[Rapoport, 1970]

Example

Summary:ν(1) = −4, ν(2) = −1.5, ν(3) = −4.48,ν(2, 3) = 4, ν(1, 2) = 4.48 and ν(1, 3) = 1.5.

It’s advantageous to form a coalition.

Which coalitions should form?

Player 1 versus Players 2 & 3: (−4, 1, 3)Player 2 versus Players 1 & 3: (−0.58, 1.5, 2.08)Player 3 versus Players 1 & 2: (−0.56, 5.04,−4.48)

What should each player receive from the game?

Page 14: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

A Three-Person Zero-Sum Game[Rapoport, 1970]

Example

Summary:ν(1) = −4, ν(2) = −1.5, ν(3) = −4.48,ν(2, 3) = 4, ν(1, 2) = 4.48 and ν(1, 3) = 1.5.

It’s advantageous to form a coalition.

Which coalitions should form?Player 1 versus Players 2 & 3: (−4, 1, 3)Player 2 versus Players 1 & 3: (−0.58, 1.5, 2.08)Player 3 versus Players 1 & 2: (−0.56, 5.04,−4.48)

What should each player receive from the game?

Page 15: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

A Three-Person Zero-Sum Game[Rapoport, 1970]

Example

Summary:ν(1) = −4, ν(2) = −1.5, ν(3) = −4.48,ν(2, 3) = 4, ν(1, 2) = 4.48 and ν(1, 3) = 1.5.

It’s advantageous to form a coalition.

Which coalitions should form?Player 1 versus Players 2 & 3: (−4, 1, 3)Player 2 versus Players 1 & 3: (−0.58, 1.5, 2.08)Player 3 versus Players 1 & 2: (−0.56, 5.04,−4.48)

What should each player receive from the game?

Page 16: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Assumptions

I Players may communicate and form coalitions with oneanother.

I Players may make sidepayments to each other.

I Utility is transferable between players.I Players’ utility values are comparable.

We will look at transferable utitility(TU) games.

Page 17: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Assumptions

I Players may communicate and form coalitions with oneanother.

I Players may make sidepayments to each other.I Utility is transferable between players.

I Players’ utility values are comparable.

We will look at transferable utitility(TU) games.

Page 18: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Assumptions

I Players may communicate and form coalitions with oneanother.

I Players may make sidepayments to each other.I Utility is transferable between players.I Players’ utility values are comparable.

We will look at transferable utitility(TU) games.

Page 19: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Assumptions

I Players may communicate and form coalitions with oneanother.

I Players may make sidepayments to each other.I Utility is transferable between players.I Players’ utility values are comparable.

We will look at transferable utitility(TU) games.

Page 20: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Characteristic Function Form

The characteristic function ν of a game is a function thatassigns a value for each coalition (subset) of players.

If the game is constant-sum then

I ν(∅) = 0

I ν(N) = K

I ν(S) + ν(N \ S) = K

Page 21: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Characteristic Function Form

The characteristic function ν of a game is a function thatassigns a value for each coalition (subset) of players.

If the game is constant-sum then

I ν(∅) = 0

I ν(N) = K

I ν(S) + ν(N \ S) = K

Page 22: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Characteristic Function Form

The characteristic function ν of a game is a function thatassigns a value for each coalition (subset) of players.

If the game is constant-sum then

I ν(∅) = 0

I ν(N) = K

I ν(S) + ν(N \ S) = K

Page 23: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Characteristic Function Form

The characteristic function ν of a game is a function thatassigns a value for each coalition (subset) of players.

If the game is constant-sum then

I ν(∅) = 0

I ν(N) = K

I ν(S) + ν(N \ S) = K

Page 24: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Cooperative Games

DefinitionA cooperative game is a set N of players, with a functionν : 2N → < such that ν(∅) = 0.

DefinitionA cooperative game is called superadditive if

ν(S ∪ T ) ≥ ν(S) + ν(T ) for all S ∩ T = ∅.

Every normal form game can be put in characteristic(cooperative) form.

There are cooperative games that do not correspond to anynormal form games.

Page 25: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Cooperative Games

DefinitionA cooperative game is a set N of players, with a functionν : 2N → < such that ν(∅) = 0.

DefinitionA cooperative game is called superadditive if

ν(S ∪ T ) ≥ ν(S) + ν(T ) for all S ∩ T = ∅.

Every normal form game can be put in characteristic(cooperative) form.

There are cooperative games that do not correspond to anynormal form games.

Page 26: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Cooperative Games

DefinitionA cooperative game is a set N of players, with a functionν : 2N → < such that ν(∅) = 0.

DefinitionA cooperative game is called superadditive if

ν(S ∪ T ) ≥ ν(S) + ν(T ) for all S ∩ T = ∅.

Every normal form game can be put in characteristic(cooperative) form.

There are cooperative games that do not correspond to anynormal form games.

Page 27: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Cooperative Games

In non-cooperative game theory, the goals are to

I determine the optimal strategies for each player, and to

I find the equilibria of the game when the players playtheir optimal strategies.

In cooperative game theory the goals are to

I determine which coalitions should form, and to

I decide how each player should be rewarded.

Page 28: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Cooperative Games

In non-cooperative game theory, the goals are to

I determine the optimal strategies for each player, and to

I find the equilibria of the game when the players playtheir optimal strategies.

In cooperative game theory the goals are to

I determine which coalitions should form, and to

I decide how each player should be rewarded.

Page 29: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

The Bankruptcy Game [O’Neill, 1982]

Example

A small company goes bankrupt owing money to threecreditors. It owns $10, 000 to creditor A, $20, 000 to creditorB and $30, 000 to creditor C . If the company has a total of$36, 000 in assets, how should the money be divided?

v(A) = 0 v(B) = 0 v(C ) = 6

v(A,B) = 6 v(A,C ) = 16 v(B,C ) = 26 and v(A,B,C ) = 36

What are the minimum requirements for a settlement?

Let x1, x2 and x3 be the payments offered to each creditor.

x1 ≥ 0 x2 ≥ 0 x3 ≥ 6 and x1 + x2 + x3 = 36

.

Page 30: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

The Bankruptcy Game [O’Neill, 1982]

Example

A small company goes bankrupt owing money to threecreditors. It owns $10, 000 to creditor A, $20, 000 to creditorB and $30, 000 to creditor C . If the company has a total of$36, 000 in assets, how should the money be divided?

v(A) = 0 v(B) = 0 v(C ) = 6

v(A,B) = 6 v(A,C ) = 16 v(B,C ) = 26 and v(A,B,C ) = 36

What are the minimum requirements for a settlement?

Let x1, x2 and x3 be the payments offered to each creditor.

x1 ≥ 0 x2 ≥ 0 x3 ≥ 6 and x1 + x2 + x3 = 36

.

Page 31: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

The Bankruptcy Game [O’Neill, 1982]

Example

A small company goes bankrupt owing money to threecreditors. It owns $10, 000 to creditor A, $20, 000 to creditorB and $30, 000 to creditor C . If the company has a total of$36, 000 in assets, how should the money be divided?

v(A) = 0 v(B) = 0 v(C ) = 6

v(A,B) = 6 v(A,C ) = 16 v(B,C ) = 26 and v(A,B,C ) = 36

What are the minimum requirements for a settlement?

Let x1, x2 and x3 be the payments offered to each creditor.

x1 ≥ 0 x2 ≥ 0 x3 ≥ 6 and x1 + x2 + x3 = 36

.

Page 32: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

The Bankruptcy Game [O’Neill, 1982]

Example

A small company goes bankrupt owing money to threecreditors. It owns $10, 000 to creditor A, $20, 000 to creditorB and $30, 000 to creditor C . If the company has a total of$36, 000 in assets, how should the money be divided?

v(A) = 0 v(B) = 0 v(C ) = 6

v(A,B) = 6 v(A,C ) = 16 v(B,C ) = 26 and v(A,B,C ) = 36

What are the minimum requirements for a settlement?

Let x1, x2 and x3 be the payments offered to each creditor.

x1 ≥ 0 x2 ≥ 0 x3 ≥ 6 and x1 + x2 + x3 = 36

.

Page 33: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

The Bankruptcy Game [O’Neill, 1982]

Example

A small company goes bankrupt owing money to threecreditors. It owns $10, 000 to creditor A, $20, 000 to creditorB and $30, 000 to creditor C . If the company has a total of$36, 000 in assets, how should the money be divided?

v(A) = 0 v(B) = 0 v(C ) = 6

v(A,B) = 6 v(A,C ) = 16 v(B,C ) = 26 and v(A,B,C ) = 36

What are the minimum requirements for a settlement?

Let x1, x2 and x3 be the payments offered to each creditor.

x1 ≥ 0 x2 ≥ 0 x3 ≥ 6 and x1 + x2 + x3 = 36

.

Page 34: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

The Bankruptcy Game [O’Neill, 1982]

Example

A small company goes bankrupt owing money to threecreditors. It owns $10, 000 to creditor A, $20, 000 to creditorB and $30, 000 to creditor C . If the company has a total of$36, 000 in assets, how should the money be divided?

v(A) = 0 v(B) = 0 v(C ) = 6

v(A,B) = 6 v(A,C ) = 16 v(B,C ) = 26 and v(A,B,C ) = 36

What are the minimum requirements for a settlement?

Let x1, x2 and x3 be the payments offered to each creditor.

x1 ≥ 0 x2 ≥ 0 x3 ≥ 6 and x1 + x2 + x3 = 36

.

Page 35: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

The Bankruptcy Game [O’Neill, 1982]A small company goes bankrupt owing money to threecreditors. It owns $10, 000 to creditor A, $20, 000 to creditorB and $30, 000 to creditor C . If the company has a total of$36, 000 in assets, how should the money be divided?

v(A) = 0 v(B) = 0 v(C ) = 6

v(A,B) = 6 v(A,C ) = 16 v(B,C ) = 26 and v(A,B,C ) = 36

x1 ≥ 0 x2 ≥ 0 x3 ≥ 6 and x1 + x2 + x3 = 36

.

What additional requirements should there be?

x1 + x2 ≥ 6 x1 + x3 ≥ 16 x2 + x3 ≥ 26

x3 ≤ 30 x2 ≤ 20 x1 ≤ 10

Page 36: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

The Bankruptcy Game [O’Neill, 1982]A small company goes bankrupt owing money to threecreditors. It owns $10, 000 to creditor A, $20, 000 to creditorB and $30, 000 to creditor C . If the company has a total of$36, 000 in assets, how should the money be divided?

v(A) = 0 v(B) = 0 v(C ) = 6

v(A,B) = 6 v(A,C ) = 16 v(B,C ) = 26 and v(A,B,C ) = 36

x1 ≥ 0 x2 ≥ 0 x3 ≥ 6 and x1 + x2 + x3 = 36

.

What additional requirements should there be?

x1 + x2 ≥ 6 x1 + x3 ≥ 16 x2 + x3 ≥ 26

x3 ≤ 30 x2 ≤ 20 x1 ≤ 10

Page 37: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

The Bankruptcy Game [O’Neill, 1982]A small company goes bankrupt owing money to threecreditors. It owns $10, 000 to creditor A, $20, 000 to creditorB and $30, 000 to creditor C . If the company has a total of$36, 000 in assets, how should the money be divided?

v(A) = 0 v(B) = 0 v(C ) = 6

v(A,B) = 6 v(A,C ) = 16 v(B,C ) = 26 and v(A,B,C ) = 36

x1 ≥ 0 x2 ≥ 0 x3 ≥ 6 and x1 + x2 + x3 = 36

.

What additional requirements should there be?

x1 + x2 ≥ 6 x1 + x3 ≥ 16 x2 + x3 ≥ 26

x3 ≤ 30 x2 ≤ 20 x1 ≤ 10

Page 38: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

The Bankruptcy Game [O’Neill, 1982]A small company goes bankrupt owing money to threecreditors. It owns $10, 000 to creditor A, $20, 000 to creditorB and $30, 000 to creditor C . If the company has a total of$36, 000 in assets, how should the money be divided?

v(A) = 0 v(B) = 0 v(C ) = 6

v(A,B) = 6 v(A,C ) = 16 v(B,C ) = 26 and v(A,B,C ) = 36

x1 ≥ 0 x2 ≥ 0 x3 ≥ 6 and x1 + x2 + x3 = 36

.

What additional requirements should there be?

x1 + x2 ≥ 6 x1 + x3 ≥ 16 x2 + x3 ≥ 26

x3 ≤ 30 x2 ≤ 20 x1 ≤ 10

Page 39: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

The Bankruptcy Game [O’Neill, 1982]A small company goes bankrupt owing money to threecreditors. It owns $10, 000 to creditor A, $20, 000 to creditorB and $30, 000 to creditor C . If the company has a total of$36, 000 in assets, how should the money be divided?

v(A) = 0 v(B) = 0 v(C ) = 6

v(A,B) = 6 v(A,C ) = 16 v(B,C ) = 26 and v(A,B,C ) = 36

x1 ≥ 0 x2 ≥ 0 x3 ≥ 6 and x1 + x2 + x3 = 36

.

What additional requirements should there be?

x1 + x2 ≥ 6 x1 + x3 ≥ 16 x2 + x3 ≥ 26

x3 ≤ 30 x2 ≤ 20 x1 ≤ 10

Page 40: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Graphing on the SimplexThe 2-dimensional simplex{(x1, x2, x3) | x1 + x2 + x3 = 1, x1 ≥ 0, x2 ≥ 0, and x3 ≥ 0.}.

.........................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................

................

................

................

................

................

................

................

................

................

................

................

................

................

................

................

................

................

x2

x1

x3

............................................

............................................

............................................

............................................

......................................................................................................................................................................................................................................................................................................................................

..............................................................................

...............................................................

(1, 0, 0)

(0, 1, 0)

(0, 0, 1)

....................................................................................................................................................................................................................................................................................................................

....................................

....................................

....................................

....................................

....................................

....................................

....................................................................................................................................................................................................................................................................................................• •

(1, 0, 0) (0, 1, 0)

(0, 0, 1)

................

................

................

................

................

..

x3

..........................................x1

..............................................................

..................................................

x2

1

Possible “solutions” of the Bankrupcy Game.

Bankrupcy.pdf

..............................................................................................................................................................................................................................................................................................................................................................................................................

....................................

....................................

....................................

....................................

....................................

....................................

....................................

....................................

....................................

............................................................................................................................................................................................................................................................................................................................................................................

..............................................................................................................................................................................................................................................................................................................

..................................................................................................................................................................................................................................................................................................................................

.................................................................................................................................................................

x1 = 10/36

x3 = 30/36

x3 = 6/36

x2 = 20/36

... .. . .. . . .. . .. . . .. . . . .. . . . . .. . . . . . .. . . . . .. . . . . . .. . . . . . . .. . . . . . . . .. . . . . . . . .. . . . . . . . .. . . . . . . . .. . . . . . . . . .. . . . . . . . . .. . . . . . . . .. . . . . . . . .. . . . . . . . .. . . . . . . . . .. . . . . . . . . .. . . . . . . . .. . . . . . . . .. . . . . . . . .. . . . . . . . . .. . . . . . . . . .. . . . . . . . .. . . . . . . . .. . . . . . . . . .. . . . . . . . . .. . . . . . . . .. . . . . . . .. . . . . . .. . . . . . . .. . . . . . .. . . . . .

1

Page 41: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Graphing on the SimplexThe 2-dimensional simplex{(x1, x2, x3) | x1 + x2 + x3 = 1, x1 ≥ 0, x2 ≥ 0, and x3 ≥ 0.}.

.........................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................

................

................

................

................

................

................

................

................

................

................

................

................

................

................

................

................

................

x2

x1

x3

............................................

............................................

............................................

............................................

......................................................................................................................................................................................................................................................................................................................................

..............................................................................

...............................................................

(1, 0, 0)

(0, 1, 0)

(0, 0, 1)

....................................................................................................................................................................................................................................................................................................................

....................................

....................................

....................................

....................................

....................................

....................................

....................................................................................................................................................................................................................................................................................................• •

(1, 0, 0) (0, 1, 0)

(0, 0, 1)

................

................

................

................

................

..

x3

..........................................x1

..............................................................

..................................................

x2

1

Possible “solutions” of the Bankrupcy Game.

Bankrupcy.pdf

..............................................................................................................................................................................................................................................................................................................................................................................................................

....................................

....................................

....................................

....................................

....................................

....................................

....................................

....................................

....................................

............................................................................................................................................................................................................................................................................................................................................................................

..............................................................................................................................................................................................................................................................................................................

..................................................................................................................................................................................................................................................................................................................................

.................................................................................................................................................................

x1 = 10/36

x3 = 30/36

x3 = 6/36

x2 = 20/36

... .. . .. . . .. . .. . . .. . . . .. . . . . .. . . . . . .. . . . . .. . . . . . .. . . . . . . .. . . . . . . . .. . . . . . . . .. . . . . . . . .. . . . . . . . .. . . . . . . . . .. . . . . . . . . .. . . . . . . . .. . . . . . . . .. . . . . . . . .. . . . . . . . . .. . . . . . . . . .. . . . . . . . .. . . . . . . . .. . . . . . . . .. . . . . . . . . .. . . . . . . . . .. . . . . . . . .. . . . . . . . .. . . . . . . . . .. . . . . . . . . .. . . . . . . . .. . . . . . . .. . . . . . .. . . . . . . .. . . . . . .. . . . . .

1

Page 42: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Imputations

DefinitionGiven a cooperative game ν on n players, an imputation is apayoff vector

x1, x2, . . . , xn

such thatxi ≥ ν(i) individual rationality

and ∑i

xi = ν(N) collective rationality.

If∑

i ν(i) = ν(N), then xi = ν(i).These games are called inessential.

We will assume ν is essential.

Page 43: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Imputations

DefinitionGiven a cooperative game ν on n players, an imputation is apayoff vector

x1, x2, . . . , xn

such thatxi ≥ ν(i)

individual rationality

and ∑i

xi = ν(N) collective rationality.

If∑

i ν(i) = ν(N), then xi = ν(i).These games are called inessential.

We will assume ν is essential.

Page 44: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Imputations

DefinitionGiven a cooperative game ν on n players, an imputation is apayoff vector

x1, x2, . . . , xn

such thatxi ≥ ν(i) individual rationality

and ∑i

xi = ν(N) collective rationality.

If∑

i ν(i) = ν(N), then xi = ν(i).These games are called inessential.

We will assume ν is essential.

Page 45: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Imputations

DefinitionGiven a cooperative game ν on n players, an imputation is apayoff vector

x1, x2, . . . , xn

such thatxi ≥ ν(i) individual rationality

and ∑i

xi = ν(N)

collective rationality.

If∑

i ν(i) = ν(N), then xi = ν(i).These games are called inessential.

We will assume ν is essential.

Page 46: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Imputations

DefinitionGiven a cooperative game ν on n players, an imputation is apayoff vector

x1, x2, . . . , xn

such thatxi ≥ ν(i) individual rationality

and ∑i

xi = ν(N) collective rationality.

If∑

i ν(i) = ν(N), then xi = ν(i).These games are called inessential.

We will assume ν is essential.

Page 47: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Imputations

DefinitionGiven a cooperative game ν on n players, an imputation is apayoff vector

x1, x2, . . . , xn

such thatxi ≥ ν(i) individual rationality

and ∑i

xi = ν(N) collective rationality.

If∑

i ν(i) = ν(N), then xi = ν(i).

These games are called inessential.

We will assume ν is essential.

Page 48: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Imputations

DefinitionGiven a cooperative game ν on n players, an imputation is apayoff vector

x1, x2, . . . , xn

such thatxi ≥ ν(i) individual rationality

and ∑i

xi = ν(N) collective rationality.

If∑

i ν(i) = ν(N), then xi = ν(i).These games are called inessential.

We will assume ν is essential.

Page 49: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Imputations

DefinitionGiven a cooperative game ν on n players, an imputation is apayoff vector

x1, x2, . . . , xn

such thatxi ≥ ν(i) individual rationality

and ∑i

xi = ν(N) collective rationality.

If∑

i ν(i) = ν(N), then xi = ν(i).These games are called inessential.

We will assume ν is essential.

Page 50: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

The Core

DefinitionThe core is the set of imputations such that∑

i∈S

xi ≥ v(S) for every S ⊂ N.

Page 51: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

The Glove Market

Example

A market consists of people with left-handed glove andpeople with right-handed gloves (but not both). The value ofa coalition is the number of complete pairs of gloves it has.

We will look at the case when A1 and A2 have left-handedglove and B1,B2 and B3 have right-handed gloves.

ν(Ai ) = ν(Bj) = 0 ν(A1,A2) = ν(Bi ,Bj) = 0 ν(Ai ,Bi ) = 1

ν(Ai ,Bi1 ,Bi2) = 1 . . .

Page 52: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

The Glove Market

Example

A market consists of people with left-handed glove andpeople with right-handed gloves (but not both). The value ofa coalition is the number of complete pairs of gloves it has.

We will look at the case when A1 and A2 have left-handedglove and B1,B2 and B3 have right-handed gloves.

ν(Ai ) = ν(Bj) = 0 ν(A1,A2) = ν(Bi ,Bj) = 0 ν(Ai ,Bi ) = 1

ν(Ai ,Bi1 ,Bi2) = 1 . . .

Page 53: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

The Glove Market

Example

A market consists of people with left-handed glove andpeople with right-handed gloves (but not both). The value ofa coalition is the number of complete pairs of gloves it has.

We will look at the case when A1 and A2 have left-handedglove and B1,B2 and B3 have right-handed gloves.

ν(Ai ) = ν(Bj) = 0 ν(A1,A2) = ν(Bi ,Bj) = 0 ν(Ai ,Bi ) = 1

ν(Ai ,Bi1 ,Bi2) = 1 . . .

Page 54: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

The Glove Market

Example

A market consists of people with left-handed glove andpeople with right-handed gloves (but not both). The value ofa coalition is the number of complete pairs of gloves it has.

We will look at the case when A1 and A2 have left-handedglove and B1,B2 and B3 have right-handed gloves.

ν(Ai ) = ν(Bj) = 0 ν(A1,A2) = ν(Bi ,Bj) = 0 ν(Ai ,Bi ) = 1

ν(Ai ,Bi1 ,Bi2) = 1 . . .

Page 55: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

The Glove Market

Let (x1, x2, y1, y2, y3) be the payoff vector.

It is an imputation if

xi ≥ 0, yj ≥ 0 y2 ≥ 0 x1 + x2 + y1 + y2 + y3 = 2.

The payoff vector is in the core if

x1 + y1 ≥ 1 x2 + y2 ≥ 1 . . .

But(x1 + y1) + (x2 + y2) ≥ 1 + 1 = 2.

Hence

(x1 + y1) = (x2 + y2) = 1 and y3 = 0.

So y1 = y2 = y3 = 0, and x1 = x2 = 1.The core consists of the single point (1, 1, 0, 0, 0).

Page 56: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

The Glove Market

Let (x1, x2, y1, y2, y3) be the payoff vector.

It is an imputation if

xi ≥ 0, yj ≥ 0 y2 ≥ 0 x1 + x2 + y1 + y2 + y3 = 2.

The payoff vector is in the core if

x1 + y1 ≥ 1 x2 + y2 ≥ 1 . . .

But(x1 + y1) + (x2 + y2) ≥ 1 + 1 = 2.

Hence

(x1 + y1) = (x2 + y2) = 1 and y3 = 0.

So y1 = y2 = y3 = 0, and x1 = x2 = 1.The core consists of the single point (1, 1, 0, 0, 0).

Page 57: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

The Glove Market

Let (x1, x2, y1, y2, y3) be the payoff vector.

It is an imputation if

xi ≥ 0, yj ≥ 0 y2 ≥ 0 x1 + x2 + y1 + y2 + y3 = 2.

The payoff vector is in the core if

x1 + y1 ≥ 1 x2 + y2 ≥ 1 . . .

But(x1 + y1) + (x2 + y2) ≥ 1 + 1 = 2.

Hence

(x1 + y1) = (x2 + y2) = 1 and y3 = 0.

So y1 = y2 = y3 = 0, and x1 = x2 = 1.The core consists of the single point (1, 1, 0, 0, 0).

Page 58: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

The Glove Market

Let (x1, x2, y1, y2, y3) be the payoff vector.

It is an imputation if

xi ≥ 0, yj ≥ 0 y2 ≥ 0 x1 + x2 + y1 + y2 + y3 = 2.

The payoff vector is in the core if

x1 + y1 ≥ 1 x2 + y2 ≥ 1 . . .

But(x1 + y1) + (x2 + y2) ≥ 1 + 1 = 2.

Hence

(x1 + y1) = (x2 + y2) = 1 and y3 = 0.

So y1 = y2 = y3 = 0, and x1 = x2 = 1.The core consists of the single point (1, 1, 0, 0, 0).

Page 59: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

The Glove Market

Let (x1, x2, y1, y2, y3) be the payoff vector.

It is an imputation if

xi ≥ 0, yj ≥ 0 y2 ≥ 0 x1 + x2 + y1 + y2 + y3 = 2.

The payoff vector is in the core if

x1 + y1 ≥ 1 x2 + y2 ≥ 1 . . .

But(x1 + y1) + (x2 + y2) ≥ 1 + 1 = 2.

Hence

(x1 + y1) = (x2 + y2) = 1 and y3 = 0.

So y1 = y2 = y3 = 0, and x1 = x2 = 1.

The core consists of the single point (1, 1, 0, 0, 0).

Page 60: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

The Glove Market

Let (x1, x2, y1, y2, y3) be the payoff vector.

It is an imputation if

xi ≥ 0, yj ≥ 0 y2 ≥ 0 x1 + x2 + y1 + y2 + y3 = 2.

The payoff vector is in the core if

x1 + y1 ≥ 1 x2 + y2 ≥ 1 . . .

But(x1 + y1) + (x2 + y2) ≥ 1 + 1 = 2.

Hence

(x1 + y1) = (x2 + y2) = 1 and y3 = 0.

So y1 = y2 = y3 = 0, and x1 = x2 = 1.The core consists of the single point (1, 1, 0, 0, 0).

Page 61: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Divide the Dollar[ Von Neumann & Morgenstern, 1947]

Example

Three players are given a dollar to divide amongst them.The decision is to be made by majority rule.

ν(1) = ν(2) = ν(3) = 0.

ν(1, 2) = ν(1, 3) = ν(2, 3) = ν(1, 2, 3) = 1.

x1 ≥ 0 x2 ≥ 0 x3 ≥ 0 x1 + x2 + x3 = 1

x1 + x2 ≥ 1 x1 + x3 ≥ 1 x2 + x3 ≥ 1.

This is impossible.

Hence the core is empty.All constant-sum games have empty cores.

Page 62: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Divide the Dollar[ Von Neumann & Morgenstern, 1947]

Example

Three players are given a dollar to divide amongst them.The decision is to be made by majority rule.

ν(1) = ν(2) = ν(3) = 0.

ν(1, 2) = ν(1, 3) = ν(2, 3) = ν(1, 2, 3) = 1.

x1 ≥ 0 x2 ≥ 0 x3 ≥ 0 x1 + x2 + x3 = 1

x1 + x2 ≥ 1 x1 + x3 ≥ 1 x2 + x3 ≥ 1.

This is impossible.

Hence the core is empty.All constant-sum games have empty cores.

Page 63: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Divide the Dollar[ Von Neumann & Morgenstern, 1947]

Example

Three players are given a dollar to divide amongst them.The decision is to be made by majority rule.

ν(1) = ν(2) = ν(3) = 0.

ν(1, 2) = ν(1, 3) = ν(2, 3) = ν(1, 2, 3) = 1.

x1 ≥ 0 x2 ≥ 0 x3 ≥ 0 x1 + x2 + x3 = 1

x1 + x2 ≥ 1 x1 + x3 ≥ 1 x2 + x3 ≥ 1.

This is impossible.

Hence the core is empty.All constant-sum games have empty cores.

Page 64: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Divide the Dollar[ Von Neumann & Morgenstern, 1947]

Example

Three players are given a dollar to divide amongst them.The decision is to be made by majority rule.

ν(1) = ν(2) = ν(3) = 0.

ν(1, 2) = ν(1, 3) = ν(2, 3) = ν(1, 2, 3) = 1.

x1 ≥ 0 x2 ≥ 0 x3 ≥ 0 x1 + x2 + x3 = 1

x1 + x2 ≥ 1 x1 + x3 ≥ 1 x2 + x3 ≥ 1.

This is impossible.

Hence the core is empty.All constant-sum games have empty cores.

Page 65: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Divide the Dollar[ Von Neumann & Morgenstern, 1947]

Example

Three players are given a dollar to divide amongst them.The decision is to be made by majority rule.

ν(1) = ν(2) = ν(3) = 0.

ν(1, 2) = ν(1, 3) = ν(2, 3) = ν(1, 2, 3) = 1.

x1 ≥ 0 x2 ≥ 0 x3 ≥ 0 x1 + x2 + x3 = 1

x1 + x2 ≥ 1 x1 + x3 ≥ 1 x2 + x3 ≥ 1.

This is impossible.

Hence the core is empty.All constant-sum games have empty cores.

Page 66: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Divide the Dollar[ Von Neumann & Morgenstern, 1947]

Example

Three players are given a dollar to divide amongst them.The decision is to be made by majority rule.

ν(1) = ν(2) = ν(3) = 0.

ν(1, 2) = ν(1, 3) = ν(2, 3) = ν(1, 2, 3) = 1.

x1 ≥ 0 x2 ≥ 0 x3 ≥ 0 x1 + x2 + x3 = 1

x1 + x2 ≥ 1 x1 + x3 ≥ 1 x2 + x3 ≥ 1.

This is impossible.

Hence the core is empty.

All constant-sum games have empty cores.

Page 67: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Divide the Dollar[ Von Neumann & Morgenstern, 1947]

Example

Three players are given a dollar to divide amongst them.The decision is to be made by majority rule.

ν(1) = ν(2) = ν(3) = 0.

ν(1, 2) = ν(1, 3) = ν(2, 3) = ν(1, 2, 3) = 1.

x1 ≥ 0 x2 ≥ 0 x3 ≥ 0 x1 + x2 + x3 = 1

x1 + x2 ≥ 1 x1 + x3 ≥ 1 x2 + x3 ≥ 1.

This is impossible.

Hence the core is empty.All constant-sum games have empty cores.

Page 68: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Divide the Dollar

Problem: If Players 1 and 2 agree to a (0.50, 0.50, 0) split,

Player 3 can offer Player 1 a (0.60, 0, 0.40) split.Player 2 can retaliate by offering Player 3 a (0, 0.50, 0.50)split.Player 1 can offer....

Page 69: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Divide the Dollar

Problem: If Players 1 and 2 agree to a (0.50, 0.50, 0) split,Player 3 can offer Player 1 a (0.60, 0, 0.40) split.

Player 2 can retaliate by offering Player 3 a (0, 0.50, 0.50)split.Player 1 can offer....

Page 70: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Divide the Dollar

Problem: If Players 1 and 2 agree to a (0.50, 0.50, 0) split,Player 3 can offer Player 1 a (0.60, 0, 0.40) split.Player 2 can retaliate by offering Player 3 a (0, 0.50, 0.50)split.

Player 1 can offer....

Page 71: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Divide the Dollar

Problem: If Players 1 and 2 agree to a (0.50, 0.50, 0) split,Player 3 can offer Player 1 a (0.60, 0, 0.40) split.Player 2 can retaliate by offering Player 3 a (0, 0.50, 0.50)split.Player 1 can offer....

Page 72: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Dominance Relations[Von Neumann and Morgenstern, 1947]

DefinitionImputation x is dominated by imputation y through coalitionS if

I yi > xi for every i ∈ S

I ν(S) ≥∑i∈S yi .

Consider the two imputations:

x = (0.50, 0.50, 0) and y = (0.60, 0, 0.40).

Players 1 and 3 can ’force’ player 2 to accept y.

So (0.50, 0, 50, 0) is dominated by (0.60, 0, 0.40) throughS = {1, 3} which is dominated by (0, 0.50, 0.50) throughcoalition S = {2, 3} which is dominated by ...

Page 73: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Dominance Relations[Von Neumann and Morgenstern, 1947]

DefinitionImputation x is dominated by imputation y through coalitionS if

I yi > xi for every i ∈ S

I ν(S) ≥∑i∈S yi .

Consider the two imputations:

x = (0.50, 0.50, 0) and y = (0.60, 0, 0.40).

Players 1 and 3 can ’force’ player 2 to accept y.

So (0.50, 0, 50, 0) is dominated by (0.60, 0, 0.40) throughS = {1, 3} which is dominated by (0, 0.50, 0.50) throughcoalition S = {2, 3} which is dominated by ...

Page 74: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Dominance Relations[Von Neumann and Morgenstern, 1947]

DefinitionImputation x is dominated by imputation y through coalitionS if

I yi > xi for every i ∈ S

I ν(S) ≥∑i∈S yi .

Consider the two imputations:

x = (0.50, 0.50, 0) and y = (0.60, 0, 0.40).

Players 1 and 3 can ’force’ player 2 to accept y.

So (0.50, 0, 50, 0) is dominated by (0.60, 0, 0.40) throughS = {1, 3} which is dominated by (0, 0.50, 0.50) throughcoalition S = {2, 3} which is dominated by ...

Page 75: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Dominance Relations[Von Neumann and Morgenstern, 1947]

DefinitionImputation x is dominated by imputation y through coalitionS if

I yi > xi for every i ∈ S

I ν(S) ≥∑i∈S yi .

Consider the two imputations:

x = (0.50, 0.50, 0) and y = (0.60, 0, 0.40).

Players 1 and 3 can ’force’ player 2 to accept y.

So (0.50, 0, 50, 0) is dominated by (0.60, 0, 0.40) throughS = {1, 3} which is dominated by (0, 0.50, 0.50) throughcoalition S = {2, 3} which is dominated by ...

Page 76: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Dominance Relations[Von Neumann and Morgenstern, 1947]

DefinitionImputation x is dominated by imputation y through coalitionS if

I yi > xi for every i ∈ S

I ν(S) ≥∑i∈S yi .

Consider the two imputations:

x = (0.50, 0.50, 0) and y = (0.60, 0, 0.40).

Players 1 and 3 can ’force’ player 2 to accept y.

So (0.50, 0, 50, 0) is dominated by (0.60, 0, 0.40) throughS = {1, 3}

which is dominated by (0, 0.50, 0.50) throughcoalition S = {2, 3} which is dominated by ...

Page 77: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Dominance Relations[Von Neumann and Morgenstern, 1947]

DefinitionImputation x is dominated by imputation y through coalitionS if

I yi > xi for every i ∈ S

I ν(S) ≥∑i∈S yi .

Consider the two imputations:

x = (0.50, 0.50, 0) and y = (0.60, 0, 0.40).

Players 1 and 3 can ’force’ player 2 to accept y.

So (0.50, 0, 50, 0) is dominated by (0.60, 0, 0.40) throughS = {1, 3} which is dominated by (0, 0.50, 0.50) throughcoalition S = {2, 3} which is dominated by ...

Page 78: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Dominance Relations

The core consists of all undominated imputations.

Proof.Suppose x is dominated by y through the coalition S .

Then∑i∈S

xi <∑i∈S

yi ≤ ν(S)

hence x is not in the core.

Suppose x is an imputation that is not in the core and∑i∈S xi < ν(S).

Let

yi ={ xi + 1

|S| [ν(S)−∑i∈S xi ] if i ∈ S

ν(i) + 1|N\S| [ν(N)− (ν(S) +

∑i /∈S ν(i))] if i /∈ S .

Page 79: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Dominance Relations

The core consists of all undominated imputations.

Proof.Suppose x is dominated by y through the coalition S . Then∑

i∈S

xi <∑i∈S

yi ≤ ν(S)

hence x is not in the core.

Suppose x is an imputation that is not in the core and∑i∈S xi < ν(S).

Let

yi ={ xi + 1

|S| [ν(S)−∑i∈S xi ] if i ∈ S

ν(i) + 1|N\S| [ν(N)− (ν(S) +

∑i /∈S ν(i))] if i /∈ S .

Page 80: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Dominance Relations

The core consists of all undominated imputations.

Proof.Suppose x is dominated by y through the coalition S . Then∑

i∈S

xi <∑i∈S

yi ≤ ν(S)

hence x is not in the core.

Suppose x is an imputation that is not in the core and∑i∈S xi < ν(S).

Let

yi ={ xi + 1

|S| [ν(S)−∑i∈S xi ] if i ∈ S

ν(i) + 1|N\S| [ν(N)− (ν(S) +

∑i /∈S ν(i))] if i /∈ S .

Page 81: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Dominance Relations

The core consists of all undominated imputations.

Proof.Suppose x is dominated by y through the coalition S . Then∑

i∈S

xi <∑i∈S

yi ≤ ν(S)

hence x is not in the core.

Suppose x is an imputation that is not in the core and∑i∈S xi < ν(S).

Let

yi ={ xi + 1

|S| [ν(S)−∑i∈S xi ] if i ∈ S

ν(i) + 1|N\S| [ν(N)− (ν(S) +

∑i /∈S ν(i))] if i /∈ S .

Page 82: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Dominance Relations

The core consists of all undominated imputations.

Proof.Suppose x is dominated by y through the coalition S . Then∑

i∈S

xi <∑i∈S

yi ≤ ν(S)

hence x is not in the core.

Suppose x is an imputation that is not in the core and∑i∈S xi < ν(S).

Let

yi ={ xi + 1

|S| [ν(S)−∑i∈S xi ] if i ∈ S

ν(i) + 1|N\S| [ν(N)− (ν(S) +

∑i /∈S ν(i))] if i /∈ S .

Page 83: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Dominance Relations

The core consists of all undominated imputations.

Proof.Suppose x is dominated by y through the coalition S . Then∑

i∈S

xi <∑i∈S

yi ≤ ν(S)

hence x is not in the core.

Suppose x is an imputation that is not in the core and∑i∈S xi < ν(S).

Let

yi ={ xi + 1

|S| [ν(S)−∑i∈S xi ] if i ∈ S

ν(i) + 1|N\S| [ν(N)− (ν(S) +

∑i /∈S ν(i))] if i /∈ S .

Page 84: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Dominance Relations

yi ={ xi + 1

|S| [ν(S)−∑i∈S xi ] if i ∈ S

ν(i) + 1|N\S| [ν(N)− (ν(S) +

∑i /∈S ν(i))] if i /∈ S .

Claim:

I yi > xi for all i ∈ S

I ν(S) ≥∑i∈S yi

I y is an imputationI yi ≥ ν(i) for all iI∑

i yi = ν(N)

Hence y is an imputation that dominates x.

Page 85: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Dominance Relations

yi ={ xi + 1

|S| [ν(S)−∑i∈S xi ] if i ∈ S

ν(i) + 1|N\S| [ν(N)− (ν(S) +

∑i /∈S ν(i))] if i /∈ S .

Claim:

I yi > xi for all i ∈ S

I ν(S) ≥∑i∈S yi

I y is an imputationI yi ≥ ν(i) for all iI∑

i yi = ν(N)

Hence y is an imputation that dominates x.

Page 86: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Dominance Relations

yi ={ xi + 1

|S| [ν(S)−∑i∈S xi ] if i ∈ S

ν(i) + 1|N\S| [ν(N)− (ν(S) +

∑i /∈S ν(i))] if i /∈ S .

Claim:

I yi > xi for all i ∈ S

I ν(S) ≥∑i∈S yi

I y is an imputation

I yi ≥ ν(i) for all iI∑

i yi = ν(N)

Hence y is an imputation that dominates x.

Page 87: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Dominance Relations

yi ={ xi + 1

|S| [ν(S)−∑i∈S xi ] if i ∈ S

ν(i) + 1|N\S| [ν(N)− (ν(S) +

∑i /∈S ν(i))] if i /∈ S .

Claim:

I yi > xi for all i ∈ S

I ν(S) ≥∑i∈S yi

I y is an imputationI yi ≥ ν(i) for all i

I∑

i yi = ν(N)

Hence y is an imputation that dominates x.

Page 88: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Dominance Relations

yi ={ xi + 1

|S| [ν(S)−∑i∈S xi ] if i ∈ S

ν(i) + 1|N\S| [ν(N)− (ν(S) +

∑i /∈S ν(i))] if i /∈ S .

Claim:

I yi > xi for all i ∈ S

I ν(S) ≥∑i∈S yi

I y is an imputationI yi ≥ ν(i) for all iI∑

i yi = ν(N)

Hence y is an imputation that dominates x.

Page 89: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Dominance Relations

yi ={ xi + 1

|S| [ν(S)−∑i∈S xi ] if i ∈ S

ν(i) + 1|N\S| [ν(N)− (ν(S) +

∑i /∈S ν(i))] if i /∈ S .

Claim:

I yi > xi for all i ∈ S

I ν(S) ≥∑i∈S yi

I y is an imputationI yi ≥ ν(i) for all iI∑

i yi = ν(N)

Hence y is an imputation that dominates x.

Page 90: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Stable Sets

DefinitionA stable set is a set I of imputations such that

I no imputation in I is dominated by any otherimputation in I

internally stable

I every imputation not in I is dominated by someimputation in I . externally stable

Page 91: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Stable Sets

DefinitionA stable set is a set I of imputations such that

I no imputation in I is dominated by any otherimputation in I internally stable

I every imputation not in I is dominated by someimputation in I . externally stable

Page 92: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Stable Sets

DefinitionA stable set is a set I of imputations such that

I no imputation in I is dominated by any otherimputation in I internally stable

I every imputation not in I is dominated by someimputation in I .

externally stable

Page 93: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Stable Sets

DefinitionA stable set is a set I of imputations such that

I no imputation in I is dominated by any otherimputation in I internally stable

I every imputation not in I is dominated by someimputation in I . externally stable

Page 94: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Stable Sets and Divide the DollarExamples:

I1 = {(0.50, 0.50, 0), (0.50, 0, 0.50), (0, 0.50, 0.50)}

I2 = {0.7, x , 0.3− x | 0 ≤ x ≤ 0.7}

Set Divide the Dollar.pdf

..............................................................................................................................................................................................................................................................................................................................................................................................................

....................................

....................................

....................................

....................................

....................................

....................................

....................................

....................................

....................................

............................................................................................................................................................................................................................................................................................................................................................................

A=(1,0,0) B=(0,1,0)

C=(0,0,1)

• •

••

(1/2,1/2,0)

(1/2,0,1/2) (0,1/2,1/2)

1

Set Divide the Dollar 2.pdf

..............................................................................................................................................................................................................................................................................................................................................................................................................

....................................

....................................

....................................

....................................

....................................

....................................

....................................

....................................

....................................

............................................................................................................................................................................................................................................................................................................................................................................

A=(1,0,0) B=(0,1,0)

C=(0,0,1)

• •

.................................................................................................................................................

{0.7, x2, 0.3− x2}

1

Page 95: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Stable Sets and Divide the DollarExamples:

I1 = {(0.50, 0.50, 0), (0.50, 0, 0.50), (0, 0.50, 0.50)}

I2 = {0.7, x , 0.3− x | 0 ≤ x ≤ 0.7}

Set Divide the Dollar.pdf

..............................................................................................................................................................................................................................................................................................................................................................................................................

....................................

....................................

....................................

....................................

....................................

....................................

....................................

....................................

....................................

............................................................................................................................................................................................................................................................................................................................................................................

A=(1,0,0) B=(0,1,0)

C=(0,0,1)

• •

••

(1/2,1/2,0)

(1/2,0,1/2) (0,1/2,1/2)

1

Set Divide the Dollar 2.pdf

..............................................................................................................................................................................................................................................................................................................................................................................................................

....................................

....................................

....................................

....................................

....................................

....................................

....................................

....................................

....................................

............................................................................................................................................................................................................................................................................................................................................................................

A=(1,0,0) B=(0,1,0)

C=(0,0,1)

• •

.................................................................................................................................................

{0.7, x2, 0.3− x2}

1

Page 96: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Stable Sets and Divide the DollarExamples:

I1 = {(0.50, 0.50, 0), (0.50, 0, 0.50), (0, 0.50, 0.50)}

I2 = {0.7, x , 0.3− x | 0 ≤ x ≤ 0.7}

Set Divide the Dollar.pdf

..............................................................................................................................................................................................................................................................................................................................................................................................................

....................................

....................................

....................................

....................................

....................................

....................................

....................................

....................................

....................................

............................................................................................................................................................................................................................................................................................................................................................................

A=(1,0,0) B=(0,1,0)

C=(0,0,1)

• •

••

(1/2,1/2,0)

(1/2,0,1/2) (0,1/2,1/2)

1

Set Divide the Dollar 2.pdf

..............................................................................................................................................................................................................................................................................................................................................................................................................

....................................

....................................

....................................

....................................

....................................

....................................

....................................

....................................

....................................

............................................................................................................................................................................................................................................................................................................................................................................

A=(1,0,0) B=(0,1,0)

C=(0,0,1)

• •

.................................................................................................................................................

{0.7, x2, 0.3− x2}

1

Page 97: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Other Solution concepts

I Bargaining Set

I Kernel

I Nucleolus

I Shapley Value

Several solution concepts are based on the idea of the“excess” of an imputation.

e(x,S) = ν(S)−∑i∈S

xi

Page 98: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Other Solution concepts

I Bargaining Set

I Kernel

I Nucleolus

I Shapley Value

Several solution concepts are based on the idea of the“excess” of an imputation.

e(x,S) = ν(S)−∑i∈S

xi

Page 99: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Other Solution concepts

I Bargaining Set

I Kernel

I Nucleolus

I Shapley Value

Several solution concepts are based on the idea of the“excess” of an imputation.

e(x,S) = ν(S)−∑i∈S

xi

Page 100: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

The Shapley Value[Shapley, 1953]

Given a cooperative game ν on N players, there exists aunique map φ : N → < which assigns to each player i avalue φi (v) satisfying

I If π is a permutation of the players thenφi (νπ) = φπ(i)(ν). Symmetry

I If i is a dummy player then φi (ν) = 0.

Dummy Property

(Player i is a dummy if ν(S ∪ i) = ν(S) for all S ⊂ N.)

I∑

i∈N φi (ν) = ν(N) Efficiency

I φi (ν + w) = φi (ν) + φi (w). Linearity

Page 101: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

The Shapley Value[Shapley, 1953]

Given a cooperative game ν on N players, there exists aunique map φ : N → < which assigns to each player i avalue φi (v) satisfying

I If π is a permutation of the players thenφi (νπ) = φπ(i)(ν).

Symmetry

I If i is a dummy player then φi (ν) = 0.

Dummy Property

(Player i is a dummy if ν(S ∪ i) = ν(S) for all S ⊂ N.)

I∑

i∈N φi (ν) = ν(N) Efficiency

I φi (ν + w) = φi (ν) + φi (w). Linearity

Page 102: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

The Shapley Value[Shapley, 1953]

Given a cooperative game ν on N players, there exists aunique map φ : N → < which assigns to each player i avalue φi (v) satisfying

I If π is a permutation of the players thenφi (νπ) = φπ(i)(ν). Symmetry

I If i is a dummy player then φi (ν) = 0.

Dummy Property

(Player i is a dummy if ν(S ∪ i) = ν(S) for all S ⊂ N.)

I∑

i∈N φi (ν) = ν(N) Efficiency

I φi (ν + w) = φi (ν) + φi (w). Linearity

Page 103: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

The Shapley Value[Shapley, 1953]

Given a cooperative game ν on N players, there exists aunique map φ : N → < which assigns to each player i avalue φi (v) satisfying

I If π is a permutation of the players thenφi (νπ) = φπ(i)(ν). Symmetry

I If i is a dummy player then φi (ν) = 0.

Dummy Property

(Player i is a dummy if ν(S ∪ i) = ν(S) for all S ⊂ N.)

I∑

i∈N φi (ν) = ν(N) Efficiency

I φi (ν + w) = φi (ν) + φi (w). Linearity

Page 104: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

The Shapley Value[Shapley, 1953]

Given a cooperative game ν on N players, there exists aunique map φ : N → < which assigns to each player i avalue φi (v) satisfying

I If π is a permutation of the players thenφi (νπ) = φπ(i)(ν). Symmetry

I If i is a dummy player then φi (ν) = 0.

Dummy Property

(Player i is a dummy if ν(S ∪ i) = ν(S) for all S ⊂ N.)

I∑

i∈N φi (ν) = ν(N) Efficiency

I φi (ν + w) = φi (ν) + φi (w). Linearity

Page 105: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

The Shapley Value[Shapley, 1953]

Given a cooperative game ν on N players, there exists aunique map φ : N → < which assigns to each player i avalue φi (v) satisfying

I If π is a permutation of the players thenφi (νπ) = φπ(i)(ν). Symmetry

I If i is a dummy player then φi (ν) = 0.

Dummy Property

(Player i is a dummy if ν(S ∪ i) = ν(S) for all S ⊂ N.)

I∑

i∈N φi (ν) = ν(N) Efficiency

I φi (ν + w) = φi (ν) + φi (w). Linearity

Page 106: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

The Shapley Value[Shapley, 1953]

Given a cooperative game ν on N players, there exists aunique map φ : N → < which assigns to each player i avalue φi (v) satisfying

I If π is a permutation of the players thenφi (νπ) = φπ(i)(ν). Symmetry

I If i is a dummy player then φi (ν) = 0.

Dummy Property

(Player i is a dummy if ν(S ∪ i) = ν(S) for all S ⊂ N.)

I∑

i∈N φi (ν) = ν(N)

Efficiency

I φi (ν + w) = φi (ν) + φi (w). Linearity

Page 107: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

The Shapley Value[Shapley, 1953]

Given a cooperative game ν on N players, there exists aunique map φ : N → < which assigns to each player i avalue φi (v) satisfying

I If π is a permutation of the players thenφi (νπ) = φπ(i)(ν). Symmetry

I If i is a dummy player then φi (ν) = 0.

Dummy Property

(Player i is a dummy if ν(S ∪ i) = ν(S) for all S ⊂ N.)

I∑

i∈N φi (ν) = ν(N) Efficiency

I φi (ν + w) = φi (ν) + φi (w). Linearity

Page 108: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

The Shapley Value[Shapley, 1953]

Given a cooperative game ν on N players, there exists aunique map φ : N → < which assigns to each player i avalue φi (v) satisfying

I If π is a permutation of the players thenφi (νπ) = φπ(i)(ν). Symmetry

I If i is a dummy player then φi (ν) = 0.

Dummy Property

(Player i is a dummy if ν(S ∪ i) = ν(S) for all S ⊂ N.)

I∑

i∈N φi (ν) = ν(N) Efficiency

I φi (ν + w) = φi (ν) + φi (w).

Linearity

Page 109: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

The Shapley Value[Shapley, 1953]

Given a cooperative game ν on N players, there exists aunique map φ : N → < which assigns to each player i avalue φi (v) satisfying

I If π is a permutation of the players thenφi (νπ) = φπ(i)(ν). Symmetry

I If i is a dummy player then φi (ν) = 0.

Dummy Property

(Player i is a dummy if ν(S ∪ i) = ν(S) for all S ⊂ N.)

I∑

i∈N φi (ν) = ν(N) Efficiency

I φi (ν + w) = φi (ν) + φi (w). Linearity

Page 110: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Shapley ValueOutline of Proof:

Let T ⊂ N, let νT be the cooperative game

νT (S) =

{1 if T ⊆ S0 if T * S .

Let

φi (νT ) =

{ 1|T | if i ∈ T

0 if i /∈ T .

The games νT form a basis for the space of cooperativegames on N,

ν =∑T⊂N

cTνT where cT =∑S⊂T

(−1)t−sν(S).

φi (ν) =∑S⊂Ni /∈S

s!(n − 1− s)!

n![ν(S ∪ i)− ν(S)].

Page 111: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Shapley ValueOutline of Proof:Let T ⊂ N, let νT be the cooperative game

νT (S) =

{1 if T ⊆ S0 if T * S .

Let

φi (νT ) =

{ 1|T | if i ∈ T

0 if i /∈ T .

The games νT form a basis for the space of cooperativegames on N,

ν =∑T⊂N

cTνT where cT =∑S⊂T

(−1)t−sν(S).

φi (ν) =∑S⊂Ni /∈S

s!(n − 1− s)!

n![ν(S ∪ i)− ν(S)].

Page 112: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Shapley ValueOutline of Proof:Let T ⊂ N, let νT be the cooperative game

νT (S) =

{1 if T ⊆ S0 if T * S .

Let

φi (νT ) =

{ 1|T | if i ∈ T

0 if i /∈ T .

The games νT form a basis for the space of cooperativegames on N,

ν =∑T⊂N

cTνT where cT =∑S⊂T

(−1)t−sν(S).

φi (ν) =∑S⊂Ni /∈S

s!(n − 1− s)!

n![ν(S ∪ i)− ν(S)].

Page 113: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Shapley ValueOutline of Proof:Let T ⊂ N, let νT be the cooperative game

νT (S) =

{1 if T ⊆ S0 if T * S .

Let

φi (νT ) =

{ 1|T | if i ∈ T

0 if i /∈ T .

The games νT form a basis for the space of cooperativegames on N,

ν =∑T⊂N

cTνT where cT =∑S⊂T

(−1)t−sν(S).

φi (ν) =∑S⊂Ni /∈S

s!(n − 1− s)!

n![ν(S ∪ i)− ν(S)].

Page 114: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Shapley ValueOutline of Proof:Let T ⊂ N, let νT be the cooperative game

νT (S) =

{1 if T ⊆ S0 if T * S .

Let

φi (νT ) =

{ 1|T | if i ∈ T

0 if i /∈ T .

The games νT form a basis for the space of cooperativegames on N,

ν =∑T⊂N

cTνT where cT =∑S⊂T

(−1)t−sν(S).

φi (ν) =∑S⊂Ni /∈S

s!(n − 1− s)!

n![ν(S ∪ i)− ν(S)].

Page 115: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Shapley ValueOutline of Proof:Let T ⊂ N, let νT be the cooperative game

νT (S) =

{1 if T ⊆ S0 if T * S .

Let

φi (νT ) =

{ 1|T | if i ∈ T

0 if i /∈ T .

The games νT form a basis for the space of cooperativegames on N,

ν =∑T⊂N

cTνT where cT =∑S⊂T

(−1)t−sν(S).

φi (ν) =∑S⊂Ni /∈S

s!(n − 1− s)!

n![ν(S ∪ i)− ν(S)].

Page 116: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Sharing Costs of River Cleanup[Ni & Wang, 2007]

Suppose a river is divided into n segments numbered fromupstream to downstream, with one corporation/polluter ineach segment. Local environmental agencies dictate the costci in the i th section of the river.

Under the LR (Local Responsibility) principle, each playersituated along the i th section of the river is responsible forthe cleanup of the i th section of the river.

Under the DR (Downstream Responsibility) principle, eachplayer situated along the i th section of the river is responsiblefor the cleanup of the i th through nth sections of the river.

Page 117: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Sharing Costs of River Cleanup[Ni & Wang, 2007]

Suppose a river is divided into n segments numbered fromupstream to downstream, with one corporation/polluter ineach segment. Local environmental agencies dictate the costci in the i th section of the river.

Under the LR (Local Responsibility) principle, each playersituated along the i th section of the river is responsible forthe cleanup of the i th section of the river.

Under the DR (Downstream Responsibility) principle, eachplayer situated along the i th section of the river is responsiblefor the cleanup of the i th through nth sections of the river.

Page 118: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Sharing Costs of River Cleanup[Ni & Wang, 2007]

Suppose a river is divided into n segments numbered fromupstream to downstream, with one corporation/polluter ineach segment. Local environmental agencies dictate the costci in the i th section of the river.

Under the LR (Local Responsibility) principle, each playersituated along the i th section of the river is responsible forthe cleanup of the i th section of the river.

Under the DR (Downstream Responsibility) principle, eachplayer situated along the i th section of the river is responsiblefor the cleanup of the i th through nth sections of the river.

Page 119: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Sharing Costs of River Cleanup[Ni & Wang, 2007]

Under the LR (Local Responsibility) principle, each playersituated along the i th section of the river is responsible forthe cleanup of the i th section of the river.

For each S ⊂ N, let

vC(S) =∑i∈S

ci .

Claimφi (vC) = ci .

Page 120: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Sharing Costs of River Cleanup[Ni & Wang, 2007]

Under the LR (Local Responsibility) principle, each playersituated along the i th section of the river is responsible forthe cleanup of the i th section of the river.

For each S ⊂ N, let

vC(S) =∑i∈S

ci .

Claimφi (vC) = ci .

Page 121: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Sharing Costs of River Cleanup[Ni & Wang, 2007]

Under the LR (Local Responsibility) principle, each playersituated along the i th section of the river is responsible forthe cleanup of the i th section of the river.

For each S ⊂ N, let

vC(S) =∑i∈S

ci .

Claimφi (vC) = ci .

Page 122: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Sharing Costs of River Cleanup[Ni & Wang, 2007]

Proof.(LR)

φi (vC) =∑S⊂Ni /∈S

s!(n − 1− s)!

n![v(S ∪ i)− v(S)]

=n−1∑s=0

s!(n − 1− s)!

n!

∑S⊂N\i|S |=s

ci

= ci

n−1∑s=0

s!(n − 1− s)!

n!

(n − 1)!

s!(n − 1− s)!

= ci

n−1∑s=0

1

n= ci

Page 123: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Sharing Costs of River Cleanup[Ni & Wang, 2007]

Proof.(LR)

φi (vC) =∑S⊂Ni /∈S

s!(n − 1− s)!

n![v(S ∪ i)− v(S)]

=n−1∑s=0

s!(n − 1− s)!

n!

∑S⊂N\i|S |=s

ci

= ci

n−1∑s=0

s!(n − 1− s)!

n!

(n − 1)!

s!(n − 1− s)!

= ci

n−1∑s=0

1

n= ci

Page 124: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Sharing Costs of River Cleanup[Ni & Wang, 2007]

Proof.(LR)

φi (vC) =∑S⊂Ni /∈S

s!(n − 1− s)!

n![v(S ∪ i)− v(S)]

=n−1∑s=0

s!(n − 1− s)!

n!

∑S⊂N\i|S |=s

ci

= ci

n−1∑s=0

s!(n − 1− s)!

n!

(n − 1)!

s!(n − 1− s)!

= ci

n−1∑s=0

1

n= ci

Page 125: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Sharing Costs of River Cleanup[Ni & Wang, 2007]

Proof.(LR)

φi (vC) =∑S⊂Ni /∈S

s!(n − 1− s)!

n![v(S ∪ i)− v(S)]

=n−1∑s=0

s!(n − 1− s)!

n!

∑S⊂N\i|S |=s

ci

= ci

n−1∑s=0

s!(n − 1− s)!

n!

(n − 1)!

s!(n − 1− s)!

= ci

n−1∑s=0

1

n= ci

Page 126: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Sharing Costs of River Cleanup[Ni & Wang, 2007]

Proof.(LR)

φi (vC) =∑S⊂Ni /∈S

s!(n − 1− s)!

n![v(S ∪ i)− v(S)]

=n−1∑s=0

s!(n − 1− s)!

n!

∑S⊂N\i|S |=s

ci

= ci

n−1∑s=0

s!(n − 1− s)!

n!

(n − 1)!

s!(n − 1− s)!

= ci

n−1∑s=0

1

n= ci

Page 127: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Sharing Costs of River Cleanup[Ni & Wang, 2007]

Under the DR (Downstream Responsibility) principle, eachplayer situated along the i th section of the river is responsiblefor the cleanup of the i th through nth sections of the river.

For each S ⊂ N, let

vC(S) =n∑

i=minS

ci .

Claim

φi (vC) =∑j≥i

1

jcj =

1

ici +

1

i + 1ci+1 · · ·+ 1

ncn.

Page 128: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Sharing Costs of River Cleanup[Ni & Wang, 2007]

Under the DR (Downstream Responsibility) principle, eachplayer situated along the i th section of the river is responsiblefor the cleanup of the i th through nth sections of the river.

For each S ⊂ N, let

vC(S) =n∑

i=minS

ci .

Claim

φi (vC) =∑j≥i

1

jcj =

1

ici +

1

i + 1ci+1 · · ·+ 1

ncn.

Page 129: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Sharing Costs of River Cleanup[Ni & Wang, 2007]

Under the DR (Downstream Responsibility) principle, eachplayer situated along the i th section of the river is responsiblefor the cleanup of the i th through nth sections of the river.

For each S ⊂ N, let

vC(S) =n∑

i=minS

ci .

Claim

φi (vC) =∑j≥i

1

jcj =

1

ici +

1

i + 1ci+1 · · ·+ 1

ncn.

Page 130: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Sharing Costs of River Cleanup[Ni & Wang, 2007]

Proof.(DR) LetCj = (0, . . . , 0, cj , 0, . . . , 0),

then

vCj(S) = 0 if minS > j and vCj

(S) = cj if minS ≤ j .

So player i is a dummy if i > j , and the game is symmetricfor all players i ≤ j .Hence

φi (vCj) = 0 if i > j and φi (vCj

) =1

jcj if i ≤ j .

Since

vC =∑

j

vCjφi (vC) =

∑j

φi (vCj) =

∑j≥i

1

jcj .

Page 131: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Sharing Costs of River Cleanup[Ni & Wang, 2007]

Proof.(DR) LetCj = (0, . . . , 0, cj , 0, . . . , 0), then

vCj(S) = 0 if minS > j and vCj

(S) = cj if minS ≤ j .

So player i is a dummy if i > j , and the game is symmetricfor all players i ≤ j .Hence

φi (vCj) = 0 if i > j and φi (vCj

) =1

jcj if i ≤ j .

Since

vC =∑

j

vCjφi (vC) =

∑j

φi (vCj) =

∑j≥i

1

jcj .

Page 132: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Sharing Costs of River Cleanup[Ni & Wang, 2007]

Proof.(DR) LetCj = (0, . . . , 0, cj , 0, . . . , 0), then

vCj(S) = 0 if minS > j and vCj

(S) = cj if minS ≤ j .

So player i is a dummy if i > j , and the game is symmetricfor all players i ≤ j .

Hence

φi (vCj) = 0 if i > j and φi (vCj

) =1

jcj if i ≤ j .

Since

vC =∑

j

vCjφi (vC) =

∑j

φi (vCj) =

∑j≥i

1

jcj .

Page 133: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Sharing Costs of River Cleanup[Ni & Wang, 2007]

Proof.(DR) LetCj = (0, . . . , 0, cj , 0, . . . , 0), then

vCj(S) = 0 if minS > j and vCj

(S) = cj if minS ≤ j .

So player i is a dummy if i > j , and the game is symmetricfor all players i ≤ j .Hence

φi (vCj) = 0 if i > j and φi (vCj

) =1

jcj if i ≤ j .

Since

vC =∑

j

vCjφi (vC) =

∑j

φi (vCj) =

∑j≥i

1

jcj .

Page 134: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Sharing Costs of River Cleanup[Ni & Wang, 2007]

Proof.(DR) LetCj = (0, . . . , 0, cj , 0, . . . , 0), then

vCj(S) = 0 if minS > j and vCj

(S) = cj if minS ≤ j .

So player i is a dummy if i > j , and the game is symmetricfor all players i ≤ j .Hence

φi (vCj) = 0 if i > j and φi (vCj

) =1

jcj if i ≤ j .

Since

vC =∑

j

vCj

φi (vC) =∑

j

φi (vCj) =

∑j≥i

1

jcj .

Page 135: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Sharing Costs of River Cleanup[Ni & Wang, 2007]

Proof.(DR) LetCj = (0, . . . , 0, cj , 0, . . . , 0), then

vCj(S) = 0 if minS > j and vCj

(S) = cj if minS ≤ j .

So player i is a dummy if i > j , and the game is symmetricfor all players i ≤ j .Hence

φi (vCj) = 0 if i > j and φi (vCj

) =1

jcj if i ≤ j .

Since

vC =∑

j

vCjφi (vC) =

∑j

φi (vCj) =

∑j≥i

1

jcj .

Page 136: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

The Shapley Value and Simple Games

Example

A local county board consists of 4 representatives of differenttownships with voting weight equal to 3, 1, 2 and 5respectively. A motion is passed if it receives at least 6 votes.

Denote the representatives a, b, c and d .

Winning coalitions: {a, d}, {b, d}, {c , d}, {a, b, c},{a, b, d}, {a, c , d},{b, c , d} and {a, b, c, d}.

ν(S) =

{1 if S is winning0 else

Page 137: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

The Shapley Value and Simple Games

Example

A local county board consists of 4 representatives of differenttownships with voting weight equal to 3, 1, 2 and 5respectively. A motion is passed if it receives at least 6 votes.

Denote the representatives a, b, c and d .

Winning coalitions: {a, d}, {b, d}, {c , d}, {a, b, c},{a, b, d}, {a, c , d},{b, c , d} and {a, b, c, d}.

ν(S) =

{1 if S is winning0 else

Page 138: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

The Shapley Value and Simple Games

Example

A local county board consists of 4 representatives of differenttownships with voting weight equal to 3, 1, 2 and 5respectively. A motion is passed if it receives at least 6 votes.

Denote the representatives a, b, c and d .

Winning coalitions: {a, d}, {b, d}, {c , d}, {a, b, c},{a, b, d}, {a, c , d},{b, c , d} and {a, b, c, d}.

ν(S) =

{1 if S is winning0 else

Page 139: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

The Shapley Value and Simple Games

Example

A local county board consists of 4 representatives of differenttownships with voting weight equal to 3, 1, 2 and 5respectively. A motion is passed if it receives at least 6 votes.

Denote the representatives a, b, c and d .

Winning coalitions: {a, d}, {b, d}, {c , d}, {a, b, c},{a, b, d}, {a, c , d},{b, c , d} and {a, b, c, d}.

ν(S) =

{1 if S is winning0 else

Page 140: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

The Shapley Value and Simple GamesWinning coalitions: {a, d}, {b, d}, {c , d}, {a, b, c},{a, b, d}, {a, c , d},{b, c , d} and {a, b, c, d}.

Applying the Shapley value to this game for Player a,

φa(ν) =∑S⊂Na/∈S

s!(n − 1− s)!

n![ν(S ∪ a)− ν(S)].

The only non-zero terms are those in which S ∪ a is winningand S is not winning. (Player a is “critical.”) S = {d} orS = {b, c},

φa(ν) =1!2!

24![1− 0] +

2!1!

24![1− 0] =

1

6

Similarly,

φb(ν) =1

6φc(ν) =

1

6φd(ν) =

1

3.

This is known as the Shapley-Shubik Power Index.

Page 141: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

The Shapley Value and Simple GamesWinning coalitions: {a, d}, {b, d}, {c , d}, {a, b, c},{a, b, d}, {a, c , d},{b, c , d} and {a, b, c, d}.Applying the Shapley value to this game for Player a,

φa(ν) =∑S⊂Na/∈S

s!(n − 1− s)!

n![ν(S ∪ a)− ν(S)].

The only non-zero terms are those in which S ∪ a is winningand S is not winning. (Player a is “critical.”) S = {d} orS = {b, c},

φa(ν) =1!2!

24![1− 0] +

2!1!

24![1− 0] =

1

6

Similarly,

φb(ν) =1

6φc(ν) =

1

6φd(ν) =

1

3.

This is known as the Shapley-Shubik Power Index.

Page 142: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

The Shapley Value and Simple GamesWinning coalitions: {a, d}, {b, d}, {c , d}, {a, b, c},{a, b, d}, {a, c , d},{b, c , d} and {a, b, c, d}.Applying the Shapley value to this game for Player a,

φa(ν) =∑S⊂Na/∈S

s!(n − 1− s)!

n![ν(S ∪ a)− ν(S)].

The only non-zero terms are those in which S ∪ a is winningand S is not winning. (Player a is “critical.”) S = {d} orS = {b, c},

φa(ν) =1!2!

24![1− 0] +

2!1!

24![1− 0] =

1

6

Similarly,

φb(ν) =1

6φc(ν) =

1

6φd(ν) =

1

3.

This is known as the Shapley-Shubik Power Index.

Page 143: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

The Shapley Value and Simple GamesWinning coalitions: {a, d}, {b, d}, {c , d}, {a, b, c},{a, b, d}, {a, c , d},{b, c , d} and {a, b, c, d}.Applying the Shapley value to this game for Player a,

φa(ν) =∑S⊂Na/∈S

s!(n − 1− s)!

n![ν(S ∪ a)− ν(S)].

The only non-zero terms are those in which S ∪ a is winningand S is not winning. (Player a is “critical.”)

S = {d} orS = {b, c},

φa(ν) =1!2!

24![1− 0] +

2!1!

24![1− 0] =

1

6

Similarly,

φb(ν) =1

6φc(ν) =

1

6φd(ν) =

1

3.

This is known as the Shapley-Shubik Power Index.

Page 144: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

The Shapley Value and Simple GamesWinning coalitions: {a, d}, {b, d}, {c , d}, {a, b, c},{a, b, d}, {a, c , d},{b, c , d} and {a, b, c, d}.Applying the Shapley value to this game for Player a,

φa(ν) =∑S⊂Na/∈S

s!(n − 1− s)!

n![ν(S ∪ a)− ν(S)].

The only non-zero terms are those in which S ∪ a is winningand S is not winning. (Player a is “critical.”) S = {d} orS = {b, c},

φa(ν) =1!2!

24![1− 0] +

2!1!

24![1− 0] =

1

6

Similarly,

φb(ν) =1

6φc(ν) =

1

6φd(ν) =

1

3.

This is known as the Shapley-Shubik Power Index.

Page 145: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

The Shapley Value and Simple GamesWinning coalitions: {a, d}, {b, d}, {c , d}, {a, b, c},{a, b, d}, {a, c , d},{b, c , d} and {a, b, c, d}.Applying the Shapley value to this game for Player a,

φa(ν) =∑S⊂Na/∈S

s!(n − 1− s)!

n![ν(S ∪ a)− ν(S)].

The only non-zero terms are those in which S ∪ a is winningand S is not winning. (Player a is “critical.”) S = {d} orS = {b, c},

φa(ν) =1!2!

24![1− 0] +

2!1!

24![1− 0] =

1

6

Similarly,

φb(ν) =1

6φc(ν) =

1

6φd(ν) =

1

3.

This is known as the Shapley-Shubik Power Index.

Page 146: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

The Shapley Value and Simple GamesWinning coalitions: {a, d}, {b, d}, {c , d}, {a, b, c},{a, b, d}, {a, c , d},{b, c , d} and {a, b, c, d}.Applying the Shapley value to this game for Player a,

φa(ν) =∑S⊂Na/∈S

s!(n − 1− s)!

n![ν(S ∪ a)− ν(S)].

The only non-zero terms are those in which S ∪ a is winningand S is not winning. (Player a is “critical.”) S = {d} orS = {b, c},

φa(ν) =1!2!

24![1− 0] +

2!1!

24![1− 0] =

1

6

Similarly,

φb(ν) =1

6φc(ν) =

1

6φd(ν) =

1

3.

This is known as the Shapley-Shubik Power Index.

Page 147: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

The Shapley Value and Simple GamesWinning coalitions: {a, d}, {b, d}, {c , d}, {a, b, c},{a, b, d}, {a, c , d},{b, c , d} and {a, b, c, d}.Applying the Shapley value to this game for Player a,

φa(ν) =∑S⊂Na/∈S

s!(n − 1− s)!

n![ν(S ∪ a)− ν(S)].

The only non-zero terms are those in which S ∪ a is winningand S is not winning. (Player a is “critical.”) S = {d} orS = {b, c},

φa(ν) =1!2!

24![1− 0] +

2!1!

24![1− 0] =

1

6

Similarly,

φb(ν) =1

6φc(ν) =

1

6φd(ν) =

1

3.

This is known as the Shapley-Shubik Power Index.

Page 148: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

The United Nations Security Council

Example

United Nations Security Council consists of 5 permanentmembers and 10 non-permanent members. Resolutions arepassed if they are supported by all 5 permanent membersand at least 4 of the non-permanent members.

Let P be the set of permanent members and T be the set ofnon-permanent members.

ν(S) =

{1 if | S ∩ P |= 5 and | S ∩ T |≥ 40 else

After much combinatorics,

φP(ν) = 0.1974 φT (ν) = 0.0022.

Page 149: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

The United Nations Security Council

Example

United Nations Security Council consists of 5 permanentmembers and 10 non-permanent members. Resolutions arepassed if they are supported by all 5 permanent membersand at least 4 of the non-permanent members.

Let P be the set of permanent members and T be the set ofnon-permanent members.

ν(S) =

{1 if | S ∩ P |= 5 and | S ∩ T |≥ 40 else

After much combinatorics,

φP(ν) = 0.1974 φT (ν) = 0.0022.

Page 150: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

The United Nations Security Council

Example

United Nations Security Council consists of 5 permanentmembers and 10 non-permanent members. Resolutions arepassed if they are supported by all 5 permanent membersand at least 4 of the non-permanent members.

Let P be the set of permanent members and T be the set ofnon-permanent members.

ν(S) =

{1 if | S ∩ P |= 5 and | S ∩ T |≥ 40 else

After much combinatorics,

φP(ν) = 0.1974 φT (ν) = 0.0022.

Page 151: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

The Shapley-Shubik Power IndexProposition (Straffin, 1977)

The Shapley-Shubik value is equal to the probability that aplayer’s vote will make a difference, given that each playerhas an equal probability of voting ’yes’ or ’no’.

The probability that coalition S forms is equal to

P(S) =

∫ 1

0ps(1− p)n−sdp =

s!(n − s)!

(n + 1)!

Hence player i will make a difference with probability∑P(S) + P(S ∪ i) =

∑[s!(n − s)!

(n + 1)!+

(s + 1)!(n − 1− s)!

(n + 1)!

]=

∑ s!(n − 1− s)!

(n + 1)![(n − s) + (s + 1)]

=∑ s!(n − 1− s)!

n!

Page 152: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

The Shapley-Shubik Power IndexProposition (Straffin, 1977)

The Shapley-Shubik value is equal to the probability that aplayer’s vote will make a difference, given that each playerhas an equal probability of voting ’yes’ or ’no’.

The probability that coalition S forms is equal to

P(S) =

∫ 1

0ps(1− p)n−sdp =

s!(n − s)!

(n + 1)!

Hence player i will make a difference with probability∑P(S) + P(S ∪ i) =

∑[s!(n − s)!

(n + 1)!+

(s + 1)!(n − 1− s)!

(n + 1)!

]=

∑ s!(n − 1− s)!

(n + 1)![(n − s) + (s + 1)]

=∑ s!(n − 1− s)!

n!

Page 153: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

The Shapley-Shubik Power IndexProposition (Straffin, 1977)

The Shapley-Shubik value is equal to the probability that aplayer’s vote will make a difference, given that each playerhas an equal probability of voting ’yes’ or ’no’.

The probability that coalition S forms is equal to

P(S) =

∫ 1

0ps(1− p)n−sdp =

s!(n − s)!

(n + 1)!

Hence player i will make a difference with probability∑P(S) + P(S ∪ i) =

∑[s!(n − s)!

(n + 1)!+

(s + 1)!(n − 1− s)!

(n + 1)!

]=

∑ s!(n − 1− s)!

(n + 1)![(n − s) + (s + 1)]

=∑ s!(n − 1− s)!

n!

Page 154: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Extensions of Cooperative Game Theory

I Multichoice Games [Hsiao & Raghaven, 1993]

I Ternary Voting Games [Felsenthal & Machover, 1997]

I Fuzzy Games

I (j , k) Games [Zwicker & Freixas, 2003]

I Games over Lattices [Grabisch & Lange, 2007]

Models in Cooperative Game Theory, Branzei, Dimitrov &TIjs, 2005

Page 155: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Multichoice Games

Definition (Hsiao & Raghaven, 1993)

A multichoice game is a game in which n playersN = {1, 2, . . . , n} select among m + 1 levels of participationM = {0, 1, . . . ,m}, and v : Mn → R is the characteristic orvalue function satisfying v(0, 0, . . . , 0) = 0.

Comments:

I given x = (x1, x2, . . . , xn) ∈ Mn, write v(x1, x2, . . . , xn)

I each x = (x1, x2, . . . , xn) corresponds to a partition ofthe players Sx

0 , Sx1 , . . . ,S

xm, where Sx

j = {i ∈ N : xi = j}is the set of players acting at level j .

I x ≥ y if and only if xi ≥ yi for all i

I assume v monotonic v(x) ≥ v(y) if x ≥ y

Page 156: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Multichoice Games

Definition (Hsiao & Raghaven, 1993)

A multichoice game is a game in which n playersN = {1, 2, . . . , n} select among m + 1 levels of participationM = {0, 1, . . . ,m}, and v : Mn → R is the characteristic orvalue function satisfying v(0, 0, . . . , 0) = 0.

Comments:

I given x = (x1, x2, . . . , xn) ∈ Mn, write v(x1, x2, . . . , xn)

I each x = (x1, x2, . . . , xn) corresponds to a partition ofthe players Sx

0 , Sx1 , . . . ,S

xm, where Sx

j = {i ∈ N : xi = j}is the set of players acting at level j .

I x ≥ y if and only if xi ≥ yi for all i

I assume v monotonic v(x) ≥ v(y) if x ≥ y

Page 157: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Multichoice Games

Definition (Hsiao & Raghaven, 1993)

A multichoice game is a game in which n playersN = {1, 2, . . . , n} select among m + 1 levels of participationM = {0, 1, . . . ,m}, and v : Mn → R is the characteristic orvalue function satisfying v(0, 0, . . . , 0) = 0.

Comments:

I given x = (x1, x2, . . . , xn) ∈ Mn, write v(x1, x2, . . . , xn)

I each x = (x1, x2, . . . , xn) corresponds to a partition ofthe players Sx

0 , Sx1 , . . . ,S

xm, where Sx

j = {i ∈ N : xi = j}is the set of players acting at level j .

I x ≥ y if and only if xi ≥ yi for all i

I assume v monotonic v(x) ≥ v(y) if x ≥ y

Page 158: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Multichoice Games

Definition (Hsiao & Raghaven, 1993)

A multichoice game is a game in which n playersN = {1, 2, . . . , n} select among m + 1 levels of participationM = {0, 1, . . . ,m}, and v : Mn → R is the characteristic orvalue function satisfying v(0, 0, . . . , 0) = 0.

Comments:

I given x = (x1, x2, . . . , xn) ∈ Mn, write v(x1, x2, . . . , xn)

I each x = (x1, x2, . . . , xn) corresponds to a partition ofthe players Sx

0 , Sx1 , . . . ,S

xm, where Sx

j = {i ∈ N : xi = j}is the set of players acting at level j .

I x ≥ y if and only if xi ≥ yi for all i

I assume v monotonic v(x) ≥ v(y) if x ≥ y

Page 159: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Multichoice Games

Definition (Hsiao & Raghaven, 1993)

A multichoice game is a game in which n playersN = {1, 2, . . . , n} select among m + 1 levels of participationM = {0, 1, . . . ,m}, and v : Mn → R is the characteristic orvalue function satisfying v(0, 0, . . . , 0) = 0.

Comments:

I given x = (x1, x2, . . . , xn) ∈ Mn, write v(x1, x2, . . . , xn)

I each x = (x1, x2, . . . , xn) corresponds to a partition ofthe players Sx

0 , Sx1 , . . . ,S

xm, where Sx

j = {i ∈ N : xi = j}is the set of players acting at level j .

I x ≥ y if and only if xi ≥ yi for all i

I assume v monotonic v(x) ≥ v(y) if x ≥ y

Page 160: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Multichoice Games

Definition (Hsiao & Raghaven, 1993)

A multichoice game is a game in which n playersN = {1, 2, . . . , n} select among m + 1 levels of participationM = {0, 1, . . . ,m}, and v : Mn → R is the characteristic orvalue function satisfying v(0, 0, . . . , 0) = 0.

Comments:

I given x = (x1, x2, . . . , xn) ∈ Mn, write v(x1, x2, . . . , xn)

I each x = (x1, x2, . . . , xn) corresponds to a partition ofthe players Sx

0 , Sx1 , . . . ,S

xm, where Sx

j = {i ∈ N : xi = j}is the set of players acting at level j .

I x ≥ y if and only if xi ≥ yi for all i

I assume v monotonic v(x) ≥ v(y) if x ≥ y

Page 161: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Examples

Example

United Nations Security Council resolutions onnon-procedural issues are approved if nine members supportit and all permanent members ‘concur.’ (n = 15 and m = 2)

Example (Hsiao & Raghaven, 1993)

A mathematics department with 50 faculty including 10distinguished professors must vote to promote a juniorcolleague. The colleague will be promoted if

I At least 40 faculty marginally or strongly support thecandidate and at least 2 distinguished professors attendthe meeting

I At least 25 faculty strongly support the candidateincluding at least 1 distinguished professor

(n = 50 and m = 3)

Page 162: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Examples

Example

United Nations Security Council resolutions onnon-procedural issues are approved if nine members supportit and all permanent members ‘concur.’ (n = 15 and m = 2)

Example (Hsiao & Raghaven, 1993)

A mathematics department with 50 faculty including 10distinguished professors must vote to promote a juniorcolleague. The colleague will be promoted if

I At least 40 faculty marginally or strongly support thecandidate and at least 2 distinguished professors attendthe meeting

I At least 25 faculty strongly support the candidateincluding at least 1 distinguished professor

(n = 50 and m = 3)

Page 163: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Examples

Page 164: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Extensions of the Shapley Value

I using weights [Hsiao & Raghavan, 1993]

I using maximal chains [Nouweland & Tijs, 1995]

I using roll-calls [Freixas, 2005, Felshenthal & Machover,1997]

I using axiomatic characterizations [Peters & Zenk, 2005,Grabisch & Lange, 2007]

I using multilinear extensions [Jones & Wilson, preprint]

Page 165: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Extensions of the Shapley Value

Shapley Value [Hsiao & Raghavan, 1993]

I based on weights 0 = w0 ≤ w1 ≤ · · · ≤ wm

I defined on unanimity games vy where vy(x) = 1 iffx ≥ y

τi ,j(vy) =

{wyiPwyk

ifj ≥ yi

0 ifj < yi

I extend linearly

τi ,j(v) =∑k≤j

∑xn−1∈Mn−1

∑T⊂Bi (x−i )

(−1)t wk

||(x−i , k)||w +∑

r∈T [w(xr + 1)− w(xr )]

×[v(x−i , k)− v(x−i , k − 1)]

where Bi (x−i ) = {i ′ ∈ N \ {i}|i ′ 6= m} and t = |T |.

Page 166: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Extensions of the Shapley Value

Shapley Value [Hsiao & Raghavan, 1993]

I based on weights 0 = w0 ≤ w1 ≤ · · · ≤ wm

I defined on unanimity games vy where vy(x) = 1 iffx ≥ y

τi ,j(vy) =

{wyiPwyk

ifj ≥ yi

0 ifj < yi

I extend linearly

τi ,j(v) =∑k≤j

∑xn−1∈Mn−1

∑T⊂Bi (x−i )

(−1)t wk

||(x−i , k)||w +∑

r∈T [w(xr + 1)− w(xr )]

×[v(x−i , k)− v(x−i , k − 1)]

where Bi (x−i ) = {i ′ ∈ N \ {i}|i ′ 6= m} and t = |T |.

Page 167: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Extensions of the Shapley Value

Shapley Value [Hsiao & Raghavan, 1993]

I based on weights 0 = w0 ≤ w1 ≤ · · · ≤ wm

I defined on unanimity games vy where vy(x) = 1 iffx ≥ y

τi ,j(vy) =

{wyiPwyk

ifj ≥ yi

0 ifj < yi

I extend linearly

τi ,j(v) =∑k≤j

∑xn−1∈Mn−1

∑T⊂Bi (x−i )

(−1)t wk

||(x−i , k)||w +∑

r∈T [w(xr + 1)− w(xr )]

×[v(x−i , k)− v(x−i , k − 1)]

where Bi (x−i ) = {i ′ ∈ N \ {i}|i ′ 6= m} and t = |T |.

Page 168: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Extensions of the Shapley Value

Shapley Value [Hsiao & Raghavan, 1993]

I based on weights 0 = w0 ≤ w1 ≤ · · · ≤ wm

I defined on unanimity games vy where vy(x) = 1 iffx ≥ y

τi ,j(vy) =

{wyiPwyk

ifj ≥ yi

0 ifj < yi

I extend linearly

τi ,j(v) =∑k≤j

∑xn−1∈Mn−1

∑T⊂Bi (x−i )

(−1)t wk

||(x−i , k)||w +∑

r∈T [w(xr + 1)− w(xr )]

×[v(x−i , k)− v(x−i , k − 1)]

where Bi (x−i ) = {i ′ ∈ N \ {i}|i ′ 6= m} and t = |T |.

Page 169: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Extensions of the Shapley Value

Shapley Value [Hsiao & Raghavan, 1993]

I based on weights 0 = w0 ≤ w1 ≤ · · · ≤ wm

I defined on unanimity games vy where vy(x) = 1 iffx ≥ y

τi ,j(vy) =

{wyiPwyk

ifj ≥ yi

0 ifj < yi

I extend linearly

τi ,j(v) =∑k≤j

∑xn−1∈Mn−1

∑T⊂Bi (x−i )

(−1)t wk

||(x−i , k)||w +∑

r∈T [w(xr + 1)− w(xr )]

×[v(x−i , k)− v(x−i , k − 1)]

where Bi (x−i ) = {i ′ ∈ N \ {i}|i ′ 6= m} and t = |T |.

Page 170: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Extensions of the Shapley Value

Shapley Value [Hsiao & Raghavan, 1993]

The extension τi ,j uniquely satisfies

I τi ,j(vy) is proportional to wyi

I∑

i τi ,m(v) = v(m,m . . . ,m)

I τi ,j(v + w) = τi ,j(v) + τi ,j(w)

I If v(x) = 0 for all x � y, then τi ,j(v) = 0 for all j < yi

Page 171: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Extensions of the Shapley Value

Shapley Value [Hsiao & Raghavan, 1993]

The extension τi ,j uniquely satisfies

I τi ,j(vy) is proportional to wyi

I∑

i τi ,m(v) = v(m,m . . . ,m)

I τi ,j(v + w) = τi ,j(v) + τi ,j(w)

I If v(x) = 0 for all x � y, then τi ,j(v) = 0 for all j < yi

Page 172: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Extensions of the Shapley Value

Shapley Value [Hsiao & Raghavan, 1993]

The extension τi ,j uniquely satisfies

I τi ,j(vy) is proportional to wyi

I∑

i τi ,m(v) = v(m,m . . . ,m)

I τi ,j(v + w) = τi ,j(v) + τi ,j(w)

I If v(x) = 0 for all x � y, then τi ,j(v) = 0 for all j < yi

Page 173: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Extensions of the Shapley Value

Shapley Value [Hsiao & Raghavan, 1993]

The extension τi ,j uniquely satisfies

I τi ,j(vy) is proportional to wyi

I∑

i τi ,m(v) = v(m,m . . . ,m)

I τi ,j(v + w) = τi ,j(v) + τi ,j(w)

I If v(x) = 0 for all x � y, then τi ,j(v) = 0 for all j < yi

Page 174: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Extensions of the Shapley Value

Shapley Value [Hsiao & Raghavan, 1993]

The extension τi ,j uniquely satisfies

I τi ,j(vy) is proportional to wyi

I∑

i τi ,m(v) = v(m,m . . . ,m)

I τi ,j(v + w) = τi ,j(v) + τi ,j(w)

I If v(x) = 0 for all x � y, then τi ,j(v) = 0 for all j < yi

Page 175: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Extensions of the Shapley Value

Shapley value over lattices [Grabisch & Lange, 2007]

Based on projection of games with levels of approvalM = {0, 1, . . . ,m} to {0,m}

ρi ,m(v) =∑

x−i∈{0,m}n−1

(n − sm − 1)!sm!

n!

×[v(x−i ,m)− v(x−i , 0)]

where sm =| Sm |.

Page 176: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Extensions of the Shapley Value

Shapley value over lattices [Grabisch & Lange, 2007]

Based on projection of games with levels of approvalM = {0, 1, . . . ,m} to {0,m}

ρi ,m(v) =∑

x−i∈{0,m}n−1

(n − sm − 1)!sm!

n!

×[v(x−i ,m)− v(x−i , 0)]

where sm =| Sm |.

Page 177: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Extensions of the Shapley Value

Shapley value over lattices [Grabisch & Lange, 2007]

Based on projection of games with levels of approvalM = {0, 1, . . . ,m} to {0,m}

ρi ,m(v) =∑

x−i∈{0,m}n−1

(n − sm − 1)!sm!

n!

×[v(x−i ,m)− v(x−i , 0)]

where sm =| Sm |.

Page 178: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Extensions of the Shapley Value

Shapley value over lattices [Grabisch & Lange, 2007]

Based on projection of games with levels of approvalM = {0, 1, . . . ,m} to {0,m}

ρi ,m(v) =∑

x−i∈{0,m}n−1

(n − sm − 1)!sm!

n!

×[v(x−i ,m)− v(x−i , 0)]

where sm =| Sm |.

Page 179: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Extensions of the Shapley Value

Shapley value over lattices [Grabisch & Lange, 2007]

The extension ρi ,m uniquely satisfies

I linearity

I dummy property

I monotonicity

I symmetry

I efficiency

I invariance

If v1(x−i , j) = v2(x−i , j − 1) for j ≥ 1 andv1(x−i , 0) = v2(x−i , 0), then

ρi ,j(v1) = ρi ,j−1(v2) for j ≥ 1

Page 180: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Extensions of the Shapley Value

Shapley value over lattices [Grabisch & Lange, 2007]

The extension ρi ,m uniquely satisfies

I linearity

I dummy property

I monotonicity

I symmetry

I efficiency

I invariance

If v1(x−i , j) = v2(x−i , j − 1) for j ≥ 1 andv1(x−i , 0) = v2(x−i , 0), then

ρi ,j(v1) = ρi ,j−1(v2) for j ≥ 1

Page 181: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Extensions of the Shapley Value

Shapley value over lattices [Grabisch & Lange, 2007]

The extension ρi ,m uniquely satisfies

I linearity

I dummy property

I monotonicity

I symmetry

I efficiency

I invariance

If v1(x−i , j) = v2(x−i , j − 1) for j ≥ 1 andv1(x−i , 0) = v2(x−i , 0), then

ρi ,j(v1) = ρi ,j−1(v2) for j ≥ 1

Page 182: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Extensions of the Shapley Value

Shapley value over lattices [Grabisch & Lange, 2007]

The extension ρi ,m uniquely satisfies

I linearity

I dummy property

I monotonicity

I symmetry

I efficiency

I invariance

If v1(x−i , j) = v2(x−i , j − 1) for j ≥ 1 andv1(x−i , 0) = v2(x−i , 0), then

ρi ,j(v1) = ρi ,j−1(v2) for j ≥ 1

Page 183: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Extensions of the Shapley Value

Shapley value over lattices [Grabisch & Lange, 2007]

The extension ρi ,m uniquely satisfies

I linearity

I dummy property

I monotonicity

I symmetry

I efficiency

I invariance

If v1(x−i , j) = v2(x−i , j − 1) for j ≥ 1 andv1(x−i , 0) = v2(x−i , 0), then

ρi ,j(v1) = ρi ,j−1(v2) for j ≥ 1

Page 184: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Extensions of the Shapley Value

Shapley value over lattices [Grabisch & Lange, 2007]

The extension ρi ,m uniquely satisfies

I linearity

I dummy property

I monotonicity

I symmetry

I efficiency

I invariance

If v1(x−i , j) = v2(x−i , j − 1) for j ≥ 1 andv1(x−i , 0) = v2(x−i , 0), then

ρi ,j(v1) = ρi ,j−1(v2) for j ≥ 1

Page 185: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Extensions of the Shapley Value

Shapley-Shubik power index for simple multichoice games[Jones & Wilson]

φi ,j(v) =∑

x−i∈Mn−1

s0!s1! . . . sm!m!

(n + m − 1)![v(x−i , j)− v(x−i , 0)].

where sj =| Sj |.φi ,m is the probability that player i will make a differencegiven that each player has equal probability of participatingat each level.

Page 186: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Extensions of the Shapley Value

Shapley-Shubik power index for simple multichoice games[Jones & Wilson]

φi ,j(v) =∑

x−i∈Mn−1

s0!s1! . . . sm!m!

(n + m − 1)![v(x−i , j)− v(x−i , 0)].

where sj =| Sj |.

φi ,m is the probability that player i will make a differencegiven that each player has equal probability of participatingat each level.

Page 187: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Extensions of the Shapley Value

Shapley-Shubik power index for simple multichoice games[Jones & Wilson]

φi ,j(v) =∑

x−i∈Mn−1

s0!s1! . . . sm!m!

(n + m − 1)![v(x−i , j)− v(x−i , 0)].

where sj =| Sj |.φi ,m is the probability that player i will make a differencegiven that each player has equal probability of participatingat each level.

Page 188: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Comparison of Shapley Values

Example

United Nations Security Council resolutions onnon-procedural issues are approved if nine members supportit and all permanent members ‘concur.’

I τi ,j values: 0.1963 permanent members and 0.0016temporary members

I φi ,j values: 0.1329 permanent members and 0.0213temporary members

Page 189: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Comparison of Shapley Values

Example

United Nations Security Council resolutions onnon-procedural issues are approved if nine members supportit and all permanent members ‘concur.’

I τi ,j values: 0.1963 permanent members and 0.0016temporary members

I φi ,j values: 0.1329 permanent members and 0.0213temporary members

Page 190: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Advantages to Teaching (Cooperative) GameTheory in Undergraduate Courses

I Introduces students to mathematical applications in thesocial sciences

I Exposes them to mathematical formalism and structureof proofs in a context where no background knowledgeis required

I Integrates formal, algebraic and geometric techniques

I They like it

Page 191: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Advantages to Teaching (Cooperative) GameTheory in Undergraduate Courses

I Introduces students to mathematical applications in thesocial sciences

I Exposes them to mathematical formalism and structureof proofs in a context where no background knowledgeis required

I Integrates formal, algebraic and geometric techniques

I They like it

Page 192: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Advantages to Teaching (Cooperative) GameTheory in Undergraduate Courses

I Introduces students to mathematical applications in thesocial sciences

I Exposes them to mathematical formalism and structureof proofs in a context where no background knowledgeis required

I Integrates formal, algebraic and geometric techniques

I They like it

Page 193: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Advantages to Teaching (Cooperative) GameTheory in Undergraduate Courses

I Introduces students to mathematical applications in thesocial sciences

I Exposes them to mathematical formalism and structureof proofs in a context where no background knowledgeis required

I Integrates formal, algebraic and geometric techniques

I They like it

Page 194: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

Advantages to Teaching (Cooperative) GameTheory in Undergraduate Courses

I Introduces students to mathematical applications in thesocial sciences

I Exposes them to mathematical formalism and structureof proofs in a context where no background knowledgeis required

I Integrates formal, algebraic and geometric techniques

I They like it

Page 195: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

References

I Branzei, R. et. al., ”A simple algorithm for themucleolus of airport surplus games”, 2004.

I Branzei, R. et. al., Models in Cooperative GameTheory, Springer, Berlin, 2005.

I Felsenthal, D. and Machover, M. ”Ternary VotingGames”, Int. J. of Game Theory (26), 335-351, 1997.

I Felsenthal, D. and Machover, M., The Measurement ofVoting Power, Edward Elgar, Cheltenham, 1998.

I Hsiao, C. and Raghaven, T., ”Shapley Value forMultichoice Cooperative Games, I”, Games and Econ.Beh. (5),240-256, 1993.

I Littlechild S.C. and Owen, G., A, ”A simple expressionfor the Shapley value in a special case”, ManagementScience (20), 370-2, 1974.

Page 196: Cooperative Game TheoryCooperative Game Theory Jennifer Wilson Outline Introduction Relationship between Non-cooperative and Cooperative Games Cooperative GameTheory A Survey of Di

Cooperative GameTheory

Jennifer Wilson

Outline

Introduction

Relationship betweenNon-cooperative andCooperative Games

CooperativeGameTheory

A Survey ofDifferent SolutionConcepts

A Small Market

Imputations and theCore

The Glove Market

Divide the Dollar

Dominance Relations

Other SolutionConcepts

Shapley Value

Definition

River Cleanup

Shapley-Shubik PowerIndex

UN Security Council

Multichoice Games

Extensions ofCooperative GameTheory

Definitions

Examples

Extensions of theShapley Value

References

I Littlechild S.C. and Owen, G. ”A further note on thenucleolus of the airport game”, International Journal ofGame Theory, (5), 91-5, 1977.

I Luce, R.D. and Raiffa, H., Games and Decisions, Wileyand Sons, NY, 1957.

I Ni, D. and Wang, Y., ”Sharing a polluted river”, Gamesand Economic Behavior (60), 176-186, 2007.

I Owen,G., Game Theory, Academic Press, New York,1982.

I Rapoport, A., N-Person Game Theory, Dover, 2001.

I Straffin, P. ”Homogeneity, Independence, and PowerIndices”, Public Choice (30), 107-119, 1977.

I Straffin, P., Game Theory and Strategy, MathematicalAssociation of America, 2004.