Szczegóły publikacji
Opis bibliograficzny
Understanding distance measures among elections / Niclas Boehmer, Piotr FALISZEWSKI, Rolf Niedermeier, Stanisław SZUFA, Tomasz WĄS // W: IJCAI-22 [Dokument elektroniczny] : proceedings of the thirty-first International Joint Conference on Artificial Intelligence : Vienna, Austria, 23-29 July 2022 / ed. Luc De Raedt. — Wersja do Windows. — Dane tekstowe. — [USA] : International Joint Conferences on Artificial Intelligence, cop. 2022. — e-ISBN: 978-1-956792-00-3. — S. 102–108. — Wymagania systemowe: Adobe Reader. — Tryb dostępu: https://www.ijcai.org/proceedings/2022/0015.pdf [2022-10-03]. — Bibliogr. s. 108, Abstr. — T. Wąs - dod. afiliacja: University of Warsaw
Autorzy (5)
- Boehmer Niclas
- AGHFaliszewski Piotr
- Niedermeier Rolf
- AGHSzufa Stanisław
- AGHWąs Tomasz
Dane bibliometryczne
| ID BaDAP | 142796 |
|---|---|
| Data dodania do BaDAP | 2022-10-10 |
| DOI | 10.24963/ijcai.2022/15 |
| Rok publikacji | 2022 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Konferencja | International Joint Conference on Artificial Intelligence 2022 |
Abstract
Motivated by putting empirical work based on (synthetic) election data on a more solid mathematical basis, we analyze six distances among elections, including, e.g., the challenging-to-compute but very precise swap distance and the distance used to form the so-called map of elections. Among the six, the latter seems to strike the best balance between its computational complexity and expressiveness.
