Manipulation of Hamming-based Approval Voting for Multiple Referenda and Committee Elections
Barrot, Nathanaël; Lang, Jérôme; Yokoo, Makoto (2017), Manipulation of Hamming-based Approval Voting for Multiple Referenda and Committee Elections, in Larson, Kate; Winikoff, Michael; Das, Sanmay; Durfee, Edmund, Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems (AAMAS 2017), IFAAMAS, p. 597-605
Type
Communication / ConférenceDate
2017Conference title
16th Conference on Autonomous Agents and MultiAgent Systems (AAMAS 2017)Conference date
2017-05Conference city
São PauloConference country
BrazilBook title
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems (AAMAS 2017)Book author
Larson, Kate; Winikoff, Michael; Das, Sanmay; Durfee, EdmundPublisher
IFAAMAS
Number of pages
1870Pages
597-605
Metadata
Show full item recordAuthor(s)
Barrot, NathanaëlKyushu, Japan
Lang, Jérôme
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Yokoo, Makoto
Kyushu, Japan
Abstract (EN)
Several methods exist for electing committees of representatives and conducting multiple referenda based on approval voting. Recently, a family of rules for approval-based voting using ordered weighted averaging was proposed, ranging from a simple candidate-wise majority (minisum) to egalitarian rule (minimax). Even though the first rule is strategyproof and the second is not, due to its egalitarian nature, only a partial study on manipulation has been conducted for inbetween rules. This paper investigates the manipulability of fair rules within this family. We first prove that all rules parameterized by fair (non-increasing) weight vectors are manipulable, except minisum, if we consider them either resolute with a tie-breaking mechanism or irresolute with classic extension principles. Then, we conduct an empirical study of the proportion of elections that are manipulable, showing that it increases based on the rule's fairness.Subjects / Keywords
Approval voting; Manipulation; Minisum; Minimax; Ordered weighted averagingRelated items
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