<div class="csl-bib-body">
<div class="csl-entry">Haret, A., Klumper, S., Maly, J., & Schäfer, G. (2024). Committees and Equilibria: Multiwinner Approval Voting Through the Lens of Budgeting Games. In <i>EC ’24: Proceedings of the 25th ACM Conference on Economics and Computation</i> (pp. 51–70). Association for Computing Machinery. https://doi.org/10.1145/3670865.3673484</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/209923
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dc.description.abstract
Approval-based multiwinner voting, one of the central topics in computational social choice, addresses collective decision-making scenarios in which n voters select a committee of k candidates from a larger pool of alternatives. A fundamental aim is to ensure that the elected committee proportionately represents the preferences of the electorate. Consequently, much effort has gone into exploring various proportionality notions and developing voting rules to achieve them. A key intuition underlying many fairness axioms and voting rules is that an optimal outcome is attained when no subset of voters can improve their position by reallocating their endorsements. In this paper, we formalize this intuition by defining a new class of games, which we call budgeting games, where committees occur as a result of voters' decisions about how to allocate a given budget. Our primary contribution lies in introducing this new class of normal-form games and showing that key notions in multiwinner voting theory, such as priceability, the core and EJR (Extended Justified Representation) can be thought of as equilibria of budgeting games. Remarkably, our budgeting games do not just capture existing concepts, but also give rise to entirely new families of voting rules. These rules, which are guaranteed to satisfy desirable fairness axioms, are based on improving-move dynamics in the respective budgeting games, and include the well-known Method of Equal Shares. Finally, we showcase the applicability of our game-theoretic perspective by proving existence of strong equilibria in a restricted version of our budgeting games, which implies that the core in a novel special case of multiwinner elections is non-empty.
en
dc.description.sponsorship
FWF - Österr. Wissenschaftsfonds
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dc.language.iso
en
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dc.subject
Multi-Winner Voting
en
dc.subject
Social Choice Theory
en
dc.subject
Computation
en
dc.title
Committees and Equilibria: Multiwinner Approval Voting Through the Lens of Budgeting Games
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.relation.publication
EC '24: Proceedings of the 25th ACM Conference on Economics and Computation
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dc.contributor.affiliation
Ludwig-Maximilians-Universität München, Germany
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dc.contributor.affiliation
Centrum Wiskunde & Informatica, Netherlands (the)
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dc.contributor.affiliation
Centrum Wiskunde & Informatica, Netherlands (the)
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dc.relation.isbn
979-8-4007-0704-9
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dc.description.startpage
51
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dc.description.endpage
70
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dc.relation.grantno
J 4581-N
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dc.type.category
Full-Paper Contribution
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tuw.booktitle
EC '24: Proceedings of the 25th ACM Conference on Economics and Computation
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tuw.relation.publisher
Association for Computing Machinery
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tuw.relation.publisherplace
New York, NY, USA
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tuw.project.title
Eine holistische Analyse von Participatory Budgeting
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tuw.researchTopic.id
I1
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tuw.researchTopic.name
Logic and Computation
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tuw.researchTopic.value
100
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tuw.publication.orgunit
E192-02 - Forschungsbereich Databases and Artificial Intelligence
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tuw.publisher.doi
10.1145/3670865.3673484
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dc.description.numberOfPages
20
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tuw.event.name
EC '24: 25th ACM Conference on Economics and Computation
en
tuw.event.startdate
08-07-2024
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tuw.event.enddate
11-07-2024
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tuw.event.online
On Site
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tuw.event.type
Event for scientific audience
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tuw.event.place
New Haven CT
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tuw.event.country
US
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tuw.event.presenter
Klumper, Sophie
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wb.sciencebranch
Informatik
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wb.sciencebranch
Mathematik
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wb.sciencebranch.oefos
1020
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wb.sciencebranch.oefos
1010
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wb.sciencebranch.value
80
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wb.sciencebranch.value
20
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item.openairecristype
http://purl.org/coar/resource_type/c_5794
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item.openairetype
conference paper
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item.fulltext
no Fulltext
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item.languageiso639-1
en
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item.grantfulltext
none
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item.cerifentitytype
Publications
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crisitem.author.dept
Ludwig-Maximilians-Universität München
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crisitem.author.dept
Centrum Wiskunde & Informatica
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crisitem.author.dept
E192-02 - Forschungsbereich Databases and Artificial Intelligence