资源论文Ties Matter: Complexity of Voting Manipulation Revisited

Ties Matter: Complexity of Voting Manipulation Revisited

2019-11-12 | |  64 |   42 |   0

Abstract

In their groundbreaking paper, Bartholdi, T ovey and Trick [1989] argued that many well-known vot-ing rules, such as Plurality, Borda, Copeland and Maximin are easy to manipulate. An important as-sumption made in that paper is that the manipula-tor’s goal is to ensure that his preferred candidate is among the candidates with the maximum score,or, equivalently, that ties are broken in favor of the manipulator’s preferred candidate. In this pa-per, we examine the role of this assumption in the easiness results of[Bartholdi et al., 1989]. We ob-serve that the algorithm presented in [Bartholdi et al., 1989]extends to all rules that break ties accord-ing to a fixed ordering over the candidates. We then show that all scoring rules are easy to manipulate if the winner is selected from all tied candidates uni-formly at random. This result extends to Maximin under an additional assumption on the manipula-tor’s utility function that is inspired by the origi-nal model of [Bartholdi et al., 1989]. In contrast,we show that manipulation becomes hard when ar-bitrary polynomial-time tie-breaking rules are al-lowed, both for the rules considered in [Bartholdi et al., 1989], and for a large class of scoring rules


上一篇:Recommender Systems: Missing Data and Statistical Model Estimation

下一篇:GUARDS — Innovative Application of Game Theory for National Airport Security

用户评价
全部评价

热门资源

  • Learning to Predi...

    Much of model-based reinforcement learning invo...

  • Stratified Strate...

    In this paper we introduce Stratified Strategy ...

  • The Variational S...

    Unlike traditional images which do not offer in...

  • A Mathematical Mo...

    Direct democracy, where each voter casts one vo...

  • Rating-Boosted La...

    The performance of a recommendation system reli...