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On incentive compatible competitive selection protocol

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Abstract

The selection problem of m highest ranked out of n candidates is considered for a model while the relative ranking of two candidates is obtained through their pairwise comparison. Deviating from the standard model, it is assumed in this article that the outcome of a pairwise comparison may be manipulated by the two participants. The higher ranked party may intentionally lose to the lower ranked party in order to gain group benefit. We discuss incentive compatible mechanism design issues for such scenarios and develop both possibility and impossibility results. © Springer-Verlag Berlin Heidelberg 2006.
Original languageEnglish
Title of host publicationComputing and Combinatorics - 12th Annual International Conference, COCOON 2006, Proceedings
PublisherSpringer Verlag
Pages13-22
Volume4112 LNCS
ISBN (Print)3540369252, 9783540369257
DOIs
Publication statusPublished - 2006
Event12th Annual International Conference on Computing and Combinatorics, COCOON 2006 - Taipei, Taiwan, China
Duration: 15 Aug 2006 → 18 Aug 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4112 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference12th Annual International Conference on Computing and Combinatorics, COCOON 2006
PlaceTaiwan, China
CityTaipei
Period15/08/06 → 18/08/06

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Funding

Research supported by a CERG grant (CityU 1156/04E) of Research Grants Council of Hong Kong SAR, PR China.

RGC Funding Information

  • RGC-funded

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