False-name-proof matching

Taiki Todo, Vincent Conitzer

研究成果: Contribution to conferencePaper査読

22 被引用数 (Scopus)

抄録

Matching a set of agents to a set of objects has many real applications. One well-studied framework is that of priority-based matching, in which each object is assumed to have a priority order over the agents. The Deferred Acceptance (DA) and Top-Trading-Cycle (TTC) mechanisms are the best-known strategy-proof mechanisms. However, in highly anonymous environments, the set of agents is not known a priori, and it is more natural for objects to instead have priorities over characteristics (e.g., the student's GPA or home address). In this paper, we extend the model so that each agent reports not only its preferences over objects, but also its characteristic. We derive results for various notions of strategy-proofness and false-name-proofness, corresponding to whether agents can only report weaker characteristics or also incomparable or stronger ones, and whether agents can only claim objects allocated to their true accounts or also those allocated to their fake accounts. Among other results, we show that DA and TTC satisfy a weak version of false-name-proofness. Furthermore, DA also satisfies a strong version of false-name-proofness, while TTC fails to satisfy it without an acyclicity assumption on priorities.

本文言語英語
ページ311-318
ページ数8
出版ステータス出版済み - 2013
外部発表はい
イベント12th International Conference on Autonomous Agents and Multiagent Systems 2013, AAMAS 2013 - Saint Paul, MN, 米国
継続期間: 5 6 20135 10 2013

その他

その他12th International Conference on Autonomous Agents and Multiagent Systems 2013, AAMAS 2013
国/地域米国
CitySaint Paul, MN
Period5/6/135/10/13

All Science Journal Classification (ASJC) codes

  • 人工知能

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