Eliciting a Suitable Voting Rule via Examples

Open Access
Authors
Publication date 2014
Host editors
  • T. Schaub
  • G. Friedrich
  • B. O'Sullivan
Book title ECAI 2014
Book subtitle 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic: including Prestigious Applications of Intelligent Systems (PAIS 2014): proceedings
ISBN
  • 9781614994183
ISBN (electronic)
  • 9781614994190
Series Frontiers in Artificial Intelligence and Applications
Event ECAI 2014: 21st European Conference on Artificial Intelligence
Pages (from-to) 183-188
Publisher Amsterdam: IOS Press
Organisations
  • Interfacultary Research - Institute for Logic, Language and Computation (ILLC)
Abstract
We address the problem of specifying a voting rule by means of a series of examples. Each example consists of the answer to a simple question: how should the rule rank two alternatives, given the positions at which each voter ranks the two alternatives? To be able to formalise this elicitation problem, we develop a novel variant of classical social choice theory in terms of associations of alternatives with vectors of ranks rather than the common associations of voters with preference orders. We then define and study a class of voting rules suited for elicitation using such answers. Finally, we propose and experimentally evaluate several elicitation strategies for arriving at a good approximation of the target rule with a reasonable number of queries.
Document type Conference contribution
Language English
Published at https://doi.org/10.3233/978-1-61499-419-0-183
Downloads
FAIA263-0183 (Final published version)
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