<div class="csl-bib-body">
<div class="csl-entry">Szufa, S., Faliszewski, P., Janeczko, L., Lackner, M., Slinko, A., Sornat, K., & Talmon, N. (2022). How to Sample Approval Elections? In <i>Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (IJCAI-22)</i> (pp. 496–502). International Joint Conferences on Artificial Intelligence. https://doi.org/10.24963/ijcai.2022/71</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/142529
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dc.description.abstract
We extend the map-of-elections framework to the case of approval elections. While doing so, we study a number of statistical cultures, including some new ones, and we analyze their properties. We find that approval elections can be understood in terms of the average number of approvals in the votes, and the extent to which the votes are chaotic.
en
dc.description.sponsorship
Fonds zur Förderung der wissenschaftlichen Forschung (FWF)
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dc.language.iso
en
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dc.subject
Agent-based and Multi-agent Systems
en
dc.subject
Computational Social Choice
en
dc.subject
Economic Paradigms
en
dc.subject
Auctions and Market-Based Systems
en
dc.title
How to Sample Approval Elections?
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.contributor.affiliation
Jagiellonian University, Poland
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dc.contributor.affiliation
AGH University of Krakow, Poland
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dc.contributor.affiliation
AGH University of Krakow, Poland
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dc.contributor.affiliation
University of Auckland, New Zealand
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dc.contributor.affiliation
AGH University of Krakow, Poland
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dc.contributor.affiliation
Ben-Gurion University of the Negev, Israel
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dc.relation.isbn
978-1-956792-00-3
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dc.relation.doi
10.24963/ijcai.2022
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dc.description.startpage
496
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dc.description.endpage
502
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dc.relation.grantno
P31890-N31
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dc.type.category
Full-Paper Contribution
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tuw.booktitle
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (IJCAI-22)
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tuw.relation.publisher
International Joint Conferences on Artificial Intelligence
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tuw.project.title
Algorithms for Sustainable Group Decision Making
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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
10.24963/ijcai.2022/71
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dc.description.numberOfPages
7
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tuw.author.orcid
0000-0001-6301-6227
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tuw.author.orcid
0000-0003-2170-0770
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tuw.author.orcid
0000-0002-0397-6290
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tuw.author.orcid
0000-0001-7450-4269
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tuw.event.name
IJCAI-ECAI 2022, THE 31ST INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE
en
dc.description.sponsorshipexternal
Israel Science Foundation
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dc.description.sponsorshipexternal
European Research Council (ERC)
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dc.relation.grantnoexternal
GrantNo.630/19
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dc.relation.grantnoexternal
grant agreement No 101002854
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tuw.event.startdate
23-07-2022
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tuw.event.enddate
29-07-2022
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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
Vienna
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tuw.event.country
AT
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tuw.event.presenter
Lackner, Martin
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tuw.event.track
Multi Track
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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.languageiso639-1
en
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item.fulltext
no Fulltext
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item.grantfulltext
restricted
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item.openairetype
conference paper
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item.cerifentitytype
Publications
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crisitem.project.funder
FWF - Österr. Wissenschaftsfonds
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crisitem.project.grantno
P 31890-N31
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crisitem.author.dept
Jagiellonian University
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crisitem.author.dept
AGH University of Krakow
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crisitem.author.dept
AGH University of Krakow
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crisitem.author.dept
E192-02 - Forschungsbereich Databases and Artificial Intelligence
