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1 Splitting hairs Chung-chieh Shan Indiana University 17 December 2015 Thanks to Chris Barker, Philippe de Groote, Larry Moss, Reinhard Muskens, Valeria de Paiva, and the anonymous reviewers for many helpful comments.

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Page 1: Slides for talk

1

Splitting hairs

Chung-chieh ShanIndiana University

17 December 2015

Thanks to Chris Barker, Philippe de Groote, Larry Moss, Reinhard Muskens,Valeria de Paiva, and the anonymous reviewers for many helpful comments.

Page 2: Slides for talk

2

There is exactly one country that is second largest in the Americas,namely the United States.

What is its population?

Howmany letters in ‘lava’? in English?

What are we talking about?

It depends on context, experience. Dynamic!Regardless, we talk on.

Page 3: Slides for talk

2

There is exactly one country that is second largest in the Americas,namely the United States.

What is its population?

Howmany letters in ‘lava’? in English?

What are we talking about?

It depends on context, experience. Dynamic!Regardless, we talk on.

Page 4: Slides for talk

3

A discourse move to morph the domain

Not just narrowing down possibilities.

“A computer scientist earns brownie points for showingthat two things that seem di�erent are actually the same,whereas a linguist earns brownie points for showing thattwo things that seem the same are actually di�erent.”

A useful move.

What is the value of a bound variable?What is a country? language? grammatical construction? letter?o�ense? cold front? tumor? lunch? thing? Howmany things?

Page 5: Slides for talk

3

A discourse move to morph the domain

Not just narrowing down possibilities.

“A computer scientist earns brownie points for showingthat two things that seem di�erent are actually the same,whereas a linguist earns brownie points for showing thattwo things that seem the same are actually di�erent.”

A useful move.

What is the value of a bound variable?What is a country? language? grammatical construction? letter?o�ense? cold front? tumor? lunch? thing? Howmany things?

Page 6: Slides for talk

4

A discourse move to split a hair

i

P(i)

i

P(i)Q(i)

Q(i)j k

P(j) P(k)Q(j) Q(k)

R(i)?j k

P(j) P(k)Q(j) Q(k)R(j) ¬R(k)

R(j)¬R(k)

Not just a relation on possible worlds.

What kind of underspeci�cation?What kind of underspeci�ed individual?

Page 7: Slides for talk

4

A discourse move to split a hair

i

P(i)

i

P(i)Q(i)

Q(i)j k

P(j) P(k)Q(j) Q(k)

R(i)?j k

P(j) P(k)Q(j) Q(k)R(j) ¬R(k)

R(j)¬R(k)

Not just a relation on possible worlds.

What kind of underspeci�cation?What kind of underspeci�ed individual?

Page 8: Slides for talk

4

A discourse move to split a hair

i

P(i)

i

P(i)Q(i)

Q(i)j k

P(j) P(k)Q(j) Q(k)

R(i)?j k

P(j) P(k)Q(j) Q(k)R(j) ¬R(k)

R(j)¬R(k)

Not just a relation on possible worlds.

What kind of underspeci�cation?What kind of underspeci�ed individual?

Page 9: Slides for talk

4

A discourse move to split a hair

i

P(i)

i

P(i)Q(i)

Q(i)j k

P(j) P(k)Q(j) Q(k)

R(i)?j k

P(j) P(k)Q(j) Q(k)R(j) ¬R(k)

R(j)¬R(k)

Not just a relation on possible worlds.

What kind of underspeci�cation?What kind of underspeci�ed individual?

Page 10: Slides for talk

4

A discourse move to split a hair

i

P(i)

i

P(i)Q(i)

Q(i)j k

P(j) P(k)Q(j) Q(k)

R(i)?j k

P(j) P(k)Q(j) Q(k)R(j) ¬R(k)

R(j)¬R(k)

Not just a relation on possible worlds.

What kind of underspeci�cation?What kind of underspeci�ed individual?

Page 11: Slides for talk

4

A discourse move to split a hair

i

P(i)

i

P(i)Q(i)

Q(i)j k

P(j) P(k)Q(j) Q(k)

R(i)?j k

P(j) P(k)Q(j) Q(k)R(j) ¬R(k)

R(j)¬R(k)

Not just a relation on possible worlds.

What kind of underspeci�cation?What kind of underspeci�ed individual?

Page 12: Slides for talk

5

A working hypothesis

There is no fact of the matter what things there are,though there is a fact of the matter what stu� there is.

Between textual entailment (syntax and algorithms, not shared reality)and model-theoretic semantics (presupposed things, not stu�).

A modal logic of discourse states.

Key idea: individual accessibility relation.

Page 13: Slides for talk

6

Path-lifting modal predicate logic: Frames

A frame F = 〈S,RS,D,RD〉 consists of1. a set S of states;

2. a state accessibility relation RS ⊆ S× S;

3. a function Dmapping each state s ∈ Sto a set D(s), called the domain of individuals at s;

4. a function RD mapping each pair 〈s, t〉 ∈ RS

to an individual accessibility relationRD(s, t) ⊆ D(s)× D(t).

Notate accessibility in�x: s R t, x sRt y(a weird counterpart relation)

s

t

u

h

i

h

i

hjk

Page 14: Slides for talk

6

Path-lifting modal predicate logic: Frames

A frame F = 〈S,RS,D,RD〉 consists of1. a set S of states;

2. a state accessibility relation RS ⊆ S× S;

3. a function Dmapping each state s ∈ Sto a set D(s), called the domain of individuals at s;

4. a function RD mapping each pair 〈s, t〉 ∈ RS

to an individual accessibility relationRD(s, t) ⊆ D(s)× D(t).

Notate accessibility in�x: s R t, x sRt y(a weird counterpart relation)

s

t

u

h

i

h

i

hjk

Page 15: Slides for talk

6

Path-lifting modal predicate logic: Frames

A frame F = 〈S,RS,D,RD〉 consists of1. a set S of states;

2. a state accessibility relation RS ⊆ S× S;

3. a function Dmapping each state s ∈ Sto a set D(s), called the domain of individuals at s;

4. a function RD mapping each pair 〈s, t〉 ∈ RS

to an individual accessibility relationRD(s, t) ⊆ D(s)× D(t).

Notate accessibility in�x: s R t, x sRt y(a weird counterpart relation)

s

t

u

h

i

h

i

hjk

Page 16: Slides for talk

6

Path-lifting modal predicate logic: Frames

A frame F = 〈S,RS,D,RD〉 consists of1. a set S of states;

2. a state accessibility relation RS ⊆ S× S;

3. a function Dmapping each state s ∈ Sto a set D(s), called the domain of individuals at s;

4. a function RD mapping each pair 〈s, t〉 ∈ RS

to an individual accessibility relationRD(s, t) ⊆ D(s)× D(t).

Notate accessibility in�x: s R t, x sRt y(a weird counterpart relation)

s

t

u

h

i

h

i

hjk

Page 17: Slides for talk

6

Path-lifting modal predicate logic: Frames

A frame F = 〈S,RS,D,RD〉 consists of1. a set S of states;

2. a state accessibility relation RS ⊆ S× S;

3. a function Dmapping each state s ∈ Sto a set D(s), called the domain of individuals at s;

4. a function RD mapping each pair 〈s, t〉 ∈ RS

to an individual accessibility relationRD(s, t) ⊆ D(s)× D(t).

Notate accessibility in�x: s R t, x sRt y(a weird counterpart relation)

s

t

u

h

i

h

i

hjk

Page 18: Slides for talk

7

Path-lifting modal predicate logic: Truth

De�ne formulas, terms, models as usual.

A valuation v at a state sis a function that maps each variable name x to an individual at s.

(Use to de�ne truth F, I, s, v φ when φ is atomic.)

If t is accessible from s, then we extend individual accessibility sRt

to valuation accessibility:

v sRt w i� ∀x. v(x) sRt w(x)

Use to de�ne truth of a modal formula:

F, I, s, v �φ i� ∀t. (s R t→ ∀w. (v sRt w→ F, I, t,w φ))

(Punt on defeasibility.)

Page 19: Slides for talk

7

Path-lifting modal predicate logic: Truth

De�ne formulas, terms, models as usual.

A valuation v at a state sis a function that maps each variable name x to an individual at s.

(Use to de�ne truth F, I, s, v φ when φ is atomic.)

If t is accessible from s, then we extend individual accessibility sRt

to valuation accessibility:

v sRt w i� ∀x. v(x) sRt w(x)

Use to de�ne truth of a modal formula:

F, I, s, v �φ i� ∀t. (s R t→ ∀w. (v sRt w→ F, I, t,w φ))

(Punt on defeasibility.)

Page 20: Slides for talk

7

Path-lifting modal predicate logic: Truth

De�ne formulas, terms, models as usual.

A valuation v at a state sis a function that maps each variable name x to an individual at s.

(Use to de�ne truth F, I, s, v φ when φ is atomic.)

If t is accessible from s, then we extend individual accessibility sRt

to valuation accessibility:

v sRt w i� ∀x. v(x) sRt w(x)

Use to de�ne truth of a modal formula:

F, I, s, v �φ i� ∀t. (s R t→ ∀w. (v sRt w→ F, I, t,w φ))

(Punt on defeasibility.)

Page 21: Slides for talk

8

Hallmark consequences

(x = y) 2 �(x = y)

(x = y) ∧�φ(x, y) � �φ(y, x)

Page 22: Slides for talk

9

Frame correspondence

Re�exivity (T)

∀s. (s R s ∧ ∀x. x sRs x)

i�

∀I, s, v, φ. F, I, s, v �φ→ φ

Transitivity (4)

∀s, t, u. (s R t ∧ t R u)→(s R u ∧ ∀x, y, z. (x sRt y ∧ y tRu z)→ x sRu z)

i�

∀I, s, v, φ. F, I, s, v �φ→ ��φ

Page 23: Slides for talk

10

Conclusion

Not just splitting but also merging, growing, and tearing out hairs

A combinatorial explosion of discourse possibilities

“The single biggest problem in communication is theillusion that it has taken place.” —George Bernard Shaw

“The challenge with labels is when people stop thinking ofthem as conversation openers and think of them asconversation closers.” —Lee Harrington

What is model-theoretic reality?

A world is a path among states?

A thing is a path among individuals?