Crowdsourcing of Computational Problem Solving

نویسنده

  • Ahmed Abdelmeged
چکیده

Computational problems can be specified by logical statements interpreted in a computable model (a.k.a. claims). Semantic Games (SGs) of claims, a well-researched area, provide novel answers to crowdsourcing challenges yet with several limitations. Most notably that SGs provide a binary interaction mechanism that requires both participants to hold contradictory positions on the underlying claim. We provide a comprehensive analysis of the limitations of SGs when used for crowdsourcing and propose a new concept, called the Contradiction-Agreement Game (CAG), which builds on SGs and has desirable properties for successful crowdsourcing. We describe a proof of concept implementation of a CAGbased crowdsourcing platform for computational problems. Our system uses a modular construct, called a lab, to group related claims and to solve labs incrementally through lab relations which are themselves captured as labs. Our proposed system has important applications in addition to crowdsourcing computational problem solving: (1) The collaborative and selfevaluating nature of SGs provides a peer-based evaluation system for MOOCs on formal science topics. The peer-based evaluation is guaranteed to be fair and saves significant time for the teaching staff. (2) it provides a lower barrier of entry to making contributions to formal sciences through game play. It is a significant help to scientists to test claims using the crowd.

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تاریخ انتشار 2013