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)
- AGHFaliszewski Piotr
- AGHKaczmarczyk Andrzej
- Sornat Krzysztof
- AGHSzufa Stanisław
- Wąs Tomasz
Słowa kluczowe
Dane bibliometryczne
ID BaDAP | 148571 |
---|---|
Data dodania do BaDAP | 2023-09-25 |
DOI | 10.24963/ijcai.2023/299 |
Rok publikacji | 2023 |
Typ publikacji | materiały konferencyjne (aut.) |
Otwarty dostęp | |
Konferencja | Thirty-Second International Joint Conference on Artificial Intelligence |
Czasopismo/seria | Proceedings 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.