Task Routing for Prediction Tasks

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Task Routing for Prediction Tasks

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dc.contributor.author Zhang, Haoqi
dc.contributor.author Horvitz, Eric
dc.contributor.author Chen, Yiling
dc.contributor.author Parkes, David C.
dc.date.accessioned 2011-07-19T15:45:07Z
dc.date.issued 2011
dc.identifier.citation Zhang, Haoqi, Eric Horvitz, Yiling Chen, and David C. Parkes. Forthcoming. Task Routing for Prediction Tasks. In Proceedings of EC'11 Workshop on Social Computing and User Generated Content, San Jose, 05 June 2011. en_US
dc.identifier.uri http://nrs.harvard.edu/urn-3:HUL.InstRepos:5027882
dc.description.abstract We study principles and methods for task routing that aim to harness people’s abilities to jointly contribute to a task and to route tasks to others who can provide further contributions. In the particular context of prediction tasks, the goal is to efficiently obtain accurate probability assessments for an event of interest. We introduce routing scoring rules for promoting collaborative behavior, that bring truthfully contributing information and optimally routing tasks into a Perfect Bayesian Equilibrium under common knowledge about agents’ abilities. However, for networks where agents only have local knowledge about other agents’ abilities, optimal routing requires complex reasoning over the history and future routing decisions of users outside of local neighborhoods. Avoiding this, we introduce a class of local routing rules that isolate simple routing decisions in equilibrium, while still promoting effective routing decisions. We present simulation results that show that following routing decisions induced by local routing rules lead to efficient information aggregation. en_US
dc.description.sponsorship Engineering and Applied Sciences en_US
dc.language.iso en_US en_US
dc.publisher Association for Computing Machinery en_US
dc.relation.hasversion http://www.eecs.harvard.edu/econcs/pubs/zhang-ec11.pdf en_US
dc.relation.hasversion http://yiling.seas.harvard.edu/sc2011/Zhang.pdf en_US
dash.license OAP
dc.title Task Routing for Prediction Tasks en_US
dc.type Conference Paper en_US
dc.description.version Accepted Manuscript en_US
dash.depositing.author Parkes, David C.
dc.date.available 2011-07-19T15:45:07Z

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  • FAS Scholarly Articles [6464]
    Peer reviewed scholarly articles from the Faculty of Arts and Sciences of Harvard University

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