Asymptotic Collusion-proofness of Voting Rules: The Case of Large Number of Candidates

Author:

Dey Palash1,Narahari Y.1

Affiliation:

1. Department of Computer Science and Automation, Indian Institute of Science, Bangalore, India.

Abstract

Classical results in voting theory show that strategic manipulation by voters is inevitable if a voting rule simultaneously satisfies certain desirable properties. Motivated by this, we study the relevant question of how often a voting rule is manipulable. It is well known that elections with a large number of voters are rarely manipulable under impartial culture (IC) assumption. However, the manipulability of voting rules when the number of candidates is large has hardly been addressed in the literature and our article focuses on this problem. First, we propose two properties: (i) asymptotic strategy-proofness and (ii) asymptotic collusion-proofness, with respect to new voters, which makes the two notions more relevant from the perspective of computational problem of manipulation. In addition to IC, we explore a new culture of society where all score vectors of the candidates are equally likely. This new notion has its motivation in computational social choice and we call it impartial scores culture (ISC) assumption. We study asymptotic strategy-proofness and asymptotic collusion-proofness for plurality, veto and [Formula: see text]-approval, and Borda voting rules under IC as well as ISC assumptions. Specifically, we prove bounds for the fraction of manipulable profiles when the number of candidates is large. Our results show that the size of the coalition and the tie-breaking rule play a crucial role in determining whether or not a voting rule satisfies the above two properties.

Publisher

SAGE Publications

Subject

General Economics, Econometrics and Finance

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Is the First-Past-the-Post Necessarily the First?;Studies in Microeconomics;2018-06

2. Complexity of manipulation with partial information in voting;Theoretical Computer Science;2018-05

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