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On incentive compatible competitive selection protocols

  • Xi Chen
  • , Xiaotie Deng
  • , Becky Jie Liu

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

The problem of selecting m best players out of n candidates, through pairwise comparisons, is considered. Deviating from the standard models, it is assumed in this article that the outcome of a pairwise comparison (e.g., a match between two candidates) may be manipulated by collaborating participants: The stronger party may intentionally lose to the weaker party in order to gain group benefit. We discuss protocol design issues for such scenarios, and develop both possibility and impossibility results. © 2010 Springer Science+Business Media, LLC.
Original languageEnglish
Pages (from-to)447-462
JournalAlgorithmica (New York)
Volume61
Issue number2
DOIs
Publication statusPublished - Oct 2011

Research Keywords

  • Algorithmic mechanism design
  • Incentive compatible ranking
  • Incentive compatible selection

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