A bounded-risk mechanism for the kidney exchange game

Hossein Esfandiari, Guy Kortsarz

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper we consider the pairwise kidney exchange game. This game naturally appears in situations that some service providers benefit from pairwise allocations on a network, such as the kidney exchanges between hospitals. Ashlagi et al. [1] present a 2-approximation randomized truthful mechanism for this problem. This is the best known result in this setting with multiple players. However, we note that the variance of the utility of an agent in this mechanism may be as large as Ω(n2), which is not desirable in a real application. In this paper we resolve this issue by providing a 2-approximation randomized truthful mechanism in which the variance of the utility of each agent is at most 2 + ε. As a side result, we apply our technique to design a deterministic mechanism such that, if an agent deviates from the mechanism, she does not gain more than 2┌log2 m┐.

Original languageEnglish
Title of host publicationLATIN 2016
Subtitle of host publicationTheoretical Informatics - 12th Latin American Symposium, Proceedings
EditorsGonzalo Navarro, Evangelos Kranakis, Edgar Chávez
PublisherSpringer Verlag
Pages416-428
Number of pages13
ISBN (Print)9783662495285
DOIs
StatePublished - 2016
Externally publishedYes
Event12th Latin American Symposium on Theoretical Informatics, LATIN 2016 - Ensenada, Mexico
Duration: 11 Apr 201615 Apr 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9644
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference12th Latin American Symposium on Theoretical Informatics, LATIN 2016
Country/TerritoryMexico
CityEnsenada
Period11/04/1615/04/16

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2016.

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