the scientific community game as a crowdsourcing platform to distinguish good from bad presentation...
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The Scientific Community Game asA Crowdsourcing Platform to Distinguish Good from Bad
Presentation to Clientsby
Software Development Organization
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Crowdsourcing Platform
• Crowdsourcing – is the act of taking a job traditionally performed
by a designated agent (usually an employee) and outsourcing it to an undefined, generally large group of people in the form of an open call.
– enlists a crowd of humans to help solve a problem defined by the system owners.
• A crowdsourcing platform is a generic tool that makes it easy to develop a crowdsourcing system.
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Crowdsourcing Platform
• The job, target problem is – to solve instances of a problem and make claims
about the solution process.– to build knowledge base of claims and techniques
to defend the claims
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Requirements for Crowdsourcing Platform
• Find a good way to combine user contributions to solve the target problem.
• Find a good way to evaluate users and their contributions.
• Find a good way to recruit and retain users.
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Combine user contributions
• We found an excellent way.• Users build on each others work:
strengthening.• Users check each others claims for correct
judgment.– Claims are defended and refuted.
• Users trade reputation and information.
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Voting with Justification
• I vote – for this claim (agree) because I can defend it and
refute its negation.– against this claim because I can oppose it (refute
or strengthen).
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Evaluate users and their contributions
• Calculate reputation– confidence by the proposer that a claim is good
(gc)– confidence by the opposer (refute or strengthen)
that the claim is bad (bc)
• The scholars are encouraged to set their confidences truthfully. Otherwise they don't gain enough reputation or they lose too much reputation.
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Reputation UpdateClaim good bad
propose up down
oppose down up
up: if you are good, there is a chance that you windown: if the other is good, there is a chance that you lose
up: reputation goes up, but has to provide knowledge that might reveal secret technique.down: reputation goes down, but might gain knowledge that reveals secret technique.
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Reputation UpdateClaim good bad
propose up down
oppose down up
up: if you are good, there is a chance that you windown: if the other is good, there is a chance that you lose
confidence: proposer: claim is good: gcopposer: claim is bad: bc
r = result of reputation protocol.Reputation update: r*gc*bc (various refinements are possible)
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Perfect
• Being perfect means to make perfect decisions.
• up: if you are perfect, you will not lose.• down: if the other is perfect, you will not win.
Claim good bad
propose up down
oppose down up
up: if you are good, there is a chance that you windown: if the other is good, there is a chance that you lose
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Result: We have successfully developed the SCG Crowdsourcing
platform: SCG Court• Requirements Document• User’s Guide• Continuous Testing Approach• Well documented software with Design
Document for Maintainers• Acceptance Test– CSP tournament– HSR tournament– NetworkFlow tournament
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Software Development Process
• Customized Spiral Process using continuous testing– http://groups.csail.mit.edu/pag/continuoustesting/
• Software Management Approach– Motivating software developers with interesting
project that provides numerous learning opportunities.
– Overcoming initial resistance by persistence and significant involvement of teaching staff. Adding Ahmed.
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Software Management Approach
• Hire good software developers with significant initiative and involvement in the project.
• Flexible project organization: very open to numerous requirements changes.
• Trusting software developers with significant responsibilities.
• Greek Gods: found subproject that was optimal for their time table.
• Dan Marcucci: Let’s use DemeterF the right way.
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Software Management Approach
• I amplified the good ideas that I spotted and did not force them on you!
• I continued to refine the game with Ahmed and Yue and we carefully justified all requirements changes.
• Reto: continuous testing approach. Setting up svn on assembla.
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Domain of Requests and Responses
• Three kinds of requests– Instance Requests
• Response: Instance• Boolean valid(Instance)
– Solution Requests• Response: Solution• Boolean valid(Instance,Solution)
– Claim Analysis Requests• Response: good/bad decision• determine which claims are
– good: agree– bad: refute or strengthen
• Make prediction about how protocol will run– Claims are about the relationship between instances and their
solutions
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What is good/bad?
• A claim is – good• if both scholars agree• if it is predominantly defended
– bad• if scholars don’t agree• if it is predominantly refuted
• Refutation is the complement of defense and is based on the requests and responses exchanged.
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Good/ Bad Meaningfor Mathematical Claims
• Good– true claim: if there is no strengthening relation
between claims (strengthen(c1,c2) is false if c1!=c2.)
– optimal claim: if there is a strengthening relation between claims.
• Bad– false claim– non-optimal claim
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