Record link: 
http://hdl.handle.net/20.500.12708/142529
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Title: 
How to Sample Approval Elections?
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Citation: 
Szufa, S., Faliszewski, P., Janeczko, L., Lackner, M., Slinko, A., Sornat, K., & Talmon, N. (2022). How to Sample Approval Elections? In Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (IJCAI-22) (pp. 496–502). International Joint Conferences on Artificial Intelligence. https://doi.org/10.24963/ijcai.2022/71
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Publisher DOI: 
10.24963/ijcai.2022/71
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Szufa, Stanisław 
Faliszewski, Piotr 
Janeczko, Lukasz 
Lackner, Martin 
Slinko, Arkadii 
Sornat, Krzysztof 
Talmon, Nimrod 
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Organisational Unit: 
E192-02 - Forschungsbereich Databases and Artificial Intelligence 
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Published in: 
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (IJCAI-22) 
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ISBN: 
978-1-956792-00-3
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DOI of the book: 
10.24963/ijcai.2022
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Date (published): 
2022
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Event name: 
IJCAI-ECAI 2022, THE 31ST INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE 
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Event date: 
23-Jul-2022 - 29-Jul-2022
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Event place: 
Vienna, Austria
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Number of Pages: 
7
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Publisher: 
International Joint Conferences on Artificial Intelligence
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Keywords: 
Agent-based and Multi-agent Systems; Computational Social Choice; Economic Paradigms; Auctions and Market-Based Systems
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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.
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Project title: 
Algorithms for Sustainable Group Decision Making: P31890-N31 (Fonds zur Förderung der wissenschaftlichen Forschung (FWF)) 
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Project (external): 
Israel Science Foundation
European Research Council (ERC)
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Project ID: 
GrantNo.630/19
grant agreement No 101002854
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Research Areas: 
Logic and Computation: 100%
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Science Branch: 
1020 - Informatik: 80%
1010 - Mathematik: 20%
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Appears in Collections:
Conference Paper

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