Szczegóły publikacji

Opis bibliograficzny

An analysis of approval-based committee rules for 2D-Euclidean elections / Michał T. Godziszewski, Paweł BATKO, Piotr Skowron, Piotr FALISZEWSKI // W: AAAI-21 / IAAI-21 / EAAI-21 proceedings : thirty-fifth AAAI conference on Artificial Intelligence, thirty-third conference on Innovative Applications of Artificial Intelligence, the eleventh symposium on Educational Advances in Artificial Intelligence : February 2–9, 2021, a virtual conference. — Palo Alto : AAAI Press, cop. 2021. — (Proceedings of the ... AAAI Conference on Artificial Intelligence ; ISSN 2159-5399 ; vol 35 no. 6: AAAI-21 Technical Tracks 6 ). — ISBN - wspólny dla 18 vol. — ISBN: 978-1-57735-866-4. — S. 5448–5455. — Bibliogr. s. 5455, Abstr.

Autorzy (4)

Dane bibliometryczne

ID BaDAP136998
Data dodania do BaDAP2021-10-15
Tekst źródłowyURL
Rok publikacji2021
Typ publikacjimateriały konferencyjne (aut.)
Otwarty dostęptak
KonferencjeNational Conference of the American Association for Artificial Intelligence 2021, Innovative Applications in AI 2021
Czasopismo/seriaProceedings of the ... AAAI Conference on Artificial Intelligence

Abstract

We study approval-based committee elections for the case where the voters' preferences come from a 2D-Euclidean model. We consider two main issues: First, we ask for the complexity of computing election results. Second, we evaluate election outcomes experimentally, following the visualization technique of Elkind et al. (2017). Regarding the first issue, we find that many NP-hard rules remain intractable for 2D-Euclidean elections. For the second one, we observe that the behavior and nature of many rules strongly depend on the exact protocol for choosing the approved candidates.

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The complexity of proportionality degree in committee elections / Łukasz JANECZKO, Piotr FALISZEWSKI // W: AAAI-22 / IAAI-22 / EAAI-22 proceedings : thirty-sixth AAAI Conference on Artificial Intelligence; thirty-fourth Conference on Innovative Applications of Artificial Intelligence; the twelveth Symposium on Educational Advances in Artificial Intelligence : February 22 – March 1, 2022, held virtually, Palo Alto, California, USA. — Palo Alto : AAAI Press, cop. 2022. — (Proceedings of the ... AAAI Conference on Artificial Intelligence ; ISSN 2159-5399 ; Vol. 36 No. 5: AAAI-22 Technical Tracks 5 ). — ISBN - wspólny dla 11 vol. — ISBN: 978-1-57735-876-3; ISBN: 1-57735-876-7. — S. 5092–5099. — Bibliogr. s. 5099, Abstr.
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#125166Data dodania: 13.12.2019
A framework for approval-based budgeting methods / Nimrod Talmon, Piotr FALISZEWSKI // W: AAAI-19/IAAI-19/EAAI-19 [Dokument elektroniczny] : thirty-third AAAI conference on Artificial Intelligence, thirty-first conference on Innovative Applications of Artificial Intelligence, the ninth symposium on Educational Advances in Artificial Intelligence : January 27–February 1, 2019, Honolulu, Hawaii, USA : proceedings. — Wersja do Windows. — Dane tekstowe. — Palo Alto : Association for the Advancement of Artificial Intelligence AAAI, cop. 2019. — (Proceedings of the ... AAAI Conference on Artificial Intelligence ; ISSN 2159-5399). — ISBN: 978-1-57735-809-1. — S. 2181–2188. — Wymagania systemowe: Adobe Reader. — Tryb dostępu: https://aaai.org/ojs/index.php/AAAI/article/view/4052/3930 [2019-10-10]. — Bibliogr. s. 2188, Abstr. — Publikacja dostępna online od: 2019-07-23