Szczegóły publikacji

Opis bibliograficzny

Diversity, agreement, and polarization in elections / Piotr FALISZEWSKI, Andrzej KACZMARCZYK, Krzysztof Sornat, Stanisław SZUFA, Tomasz Wąs // W: IJCAI-23 [Dokument elektroniczny] : proceedings of the thirty-second International Joint Conference on Artificial Intelligence : Macao, SAR, 19-25 August 2023 / ed. by Edith Elkind. — Wersja do Windows. — Dane tekstowe. — Darmstadt : International Joint Conferences on Artificial Intelligence, cop. 2023. — (Proceedings of the International Joint Conference on Artificial Intelligence ; ISSN 1045-0823). — e-ISBN: 978-1-956792-03-4. — S. 2684-2692. — Wymagania systemowe: Adobe Reader. — Tryb dostępu: https://www.ijcai.org/proceedings/2023/0299.pdf [2023-09-25]. — Bibliogr. s. 2691-2692, Abstr.

Autorzy (5)

Słowa kluczowe

GTEPGame Theory and Economic Paradigmscomputational social choice

Dane bibliometryczne

ID BaDAP148571
Data dodania do BaDAP2023-09-25
DOI10.24963/ijcai.2023/299
Rok publikacji2023
Typ publikacjimateriały konferencyjne (aut.)
Otwarty dostęptak
KonferencjaInternational Joint Conference on Artificial Intelligence 2023
Czasopismo/seriaProceedings of the International Joint Conference on Artificial Intelligence

Abstract

We consider the notions of agreement, diversity, and polarization in ordinal elections (that is, in elections where voters rank the candidates). While (computational) social choice offers good measures of agreement between the voters, such measures for the other two notions are lacking. We attempt to rectify this issue by designing appropriate measures, providing means of their (approximate) computation, and arguing that they, indeed, capture diversity and polarization well. In particular, we present "maps of preference orders" that highlight relations between the votes in a given election and which help in making arguments about their nature.

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