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Conditional and Sequential Approval Voting on Combinatorial Domains

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BL16.pdf (283.3Kb)
Date
2016
Dewey
Recherche opérationnelle
Sujet
social choice; voting
Conference name
25th International Joint Conference on Artificial Intelligence (IJCAI'16)
Conference date
07-2016
Conference city
New York
Conference country
United States
Book title
IJCAI'16 Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence
Author
Brewka, Gerhard
Publisher
AAAI Press / IJCAI
Publisher city
Palo Alto (USA)
Year
2016
Pages number
1518
ISBN
978-1-57735-770-4
URI
https://basepub.dauphine.fr/handle/123456789/16484
Collections
  • LAMSADE : Publications
Metadata
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Author
Barrot, Nathanaël
989 Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Lang, Jérôme
989 Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Type
Communication / Conférence
Item number of pages
88-94
Abstract (EN)
Several methods exist for making collective decisions on a set of variables when voters possibly have preferential dependencies. None is based on approval voting. We define a family of rules for approval-based voting on combinatorial domains, where voters cast conditional approval ballots, allowing them to approve values of a variable conditionally on the values of other variables. We study three such rules. The first two generalize simple multiwinner approval voting and minimax approval voting. The third one is an approval-based version of sequential voting on combinatorial domains. We study some properties of these rules, and compare their outcomes.

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