文章基本信息

标题：Restricted Manipulation in Iterative Voting: Convergence and Condorcet Efficiency
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作者：Umberto Grandi ; Andrea Loreggia ; Francesca Rossi 等
期刊名称：Electronic Proceedings in Theoretical Computer Science
电子版ISSN：2075-2180
出版年度：2013
卷号：112
页码：17-24
DOI：10.4204/EPTCS.112.6
出版社：Open Publishing Association
摘要：In collective decision making, where a voting rule is used to take a collective decision among a group of agents, manipulation by one or more agents is usually considered negative behavior to be avoided, or at least to be made computationally difficult for the agents to perform. However, there are scenarios in which a restricted form of manipulation can instead be beneficial. In this paper we consider the iterative version of several voting rules, where at each step one agent is allowed to manipulate by modifying his ballot according to a set of restricted manipulation moves which are computationally easy and require little information to be performed. We prove convergence of iterative voting rules when restricted manipulation is allowed, and we present experiments showing that most iterative voting rules have a higher Condorcet efficiency than their non-iterative version.