Strategic abstention based on preference extensions: Positive results and computer-generated impossibilities

Florian Brandl, Felix Brandt, Christian Geist, Johannes Hofbauer

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

22 Zitate (Scopus)

Abstract

Voting rules are powerful tools that allow multiple agents to aggregate their preferences in order to reach joint decisions. A common flaw of some voting rules, known as the no-show paradox, is that agents may obtain a more preferred outcome by abstaining from an election. We study strategic abstention for set-valued voting rules based on Kelly's and Fishburn's preference extensions. Our contribution is twofold. First, we show that, whenever there are at least five alternatives, every Paretooptimal majoritarian voting rule suffers from the no-show paradox with respect to Fishburn's extension. This is achieved by reducing the statement to a finite - yet very large - problem, which is encoded as a formula in propositional logic and then shown to be unsatisfiable by a SAT solver. We also provide a human-readable proof which we extracted from a minimal unsatisfiable core of the formula. Secondly, we prove that every voting rule that satisfies two natural conditions cannot be manipulated by strategic abstention with respect to Kelly's extension. We conclude by giving examples of well-known Pareto-optimal majoritarian voting rules that meet these requirements.

OriginalspracheEnglisch
TitelIJCAI 2015 - Proceedings of the 24th International Joint Conference on Artificial Intelligence
Redakteure/-innenMichael Wooldridge, Qiang Yang
Herausgeber (Verlag)International Joint Conferences on Artificial Intelligence
Seiten18-24
Seitenumfang7
ISBN (elektronisch)9781577357384
PublikationsstatusVeröffentlicht - 2015
Veranstaltung24th International Joint Conference on Artificial Intelligence, IJCAI 2015 - Buenos Aires, Argentinien
Dauer: 25 Juli 201531 Juli 2015

Publikationsreihe

NameIJCAI International Joint Conference on Artificial Intelligence
Band2015-January
ISSN (Print)1045-0823

Konferenz

Konferenz24th International Joint Conference on Artificial Intelligence, IJCAI 2015
Land/GebietArgentinien
OrtBuenos Aires
Zeitraum25/07/1531/07/15

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