Szczegóły publikacji

Opis bibliograficzny

What do multiwinner voting rules do? : an experiment over the two-dimensional euclidean domain / Edith Elkind, Piotr FALISZEWSKI, Jean-François Laslier, Piotr Skowron. Arkadii Slinko, Nimrod Talmon // W: AAAI-17 [Dokument elektroniczny] : thirty-first AAAI conference on artificial intelligence : San Francisco, USA, February 4–10, 2017. — Wersja do Windows. — Dane tekstowe. — [USA : s. n.], [2017]. — S. 494–501. — Wymagania systemowe: Adobe Reader. — Tryb dostępu: http://aaai.org/ocs/index.php/AAAI/AAAI17/paper/view/14924/13778 [2017-04-11]. — Bibliogr. s. 501, Abstr.

Autorzy (6)

Słowa kluczowe

proportional representationmulti-winner electionsshortlistingEuclidean preferences

Dane bibliometryczne

ID BaDAP105067
Data dodania do BaDAP2017-05-19
Rok publikacji2017
Typ publikacjimateriały konferencyjne (aut.)
Otwarty dostęptak
KonferencjaNational Conference of the American Association for Artificial Intelligence 2017

Abstract

We visualize aggregate outputs of popular multiwinner voting rules-SNTV, STV, Bloc, k-Borda, Monroe, Chamberlin-Courant, and PAV-for elections generated according to the two-dimensional Euclidean model. We consider three applications of multiwinner voting, namely, parliamentary elections, portfolio/movie selection, and shortlisting, and use our results to understand which of our rules seem to be best suited for each application. In particular, we show that STV (one of the few nontrivial rules used in real high-stake elections) exhibits excellent performance, whereas the Bloc rule (also often used in practice) performs poorly.

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On swap convexity of voting rules / Svetlana Obraztsova, Edith Elkind, Piotr FALISZEWSKI // W: AAAI-20 / IAAI-20 / EAAI-20 proceedings : thirty-fourth AAAI conference on Artificial Intelligence, thirty-second conference on Innovative Applications of Artificial Intelligence, the tenth symposium on Educational Advances in Artificial Intelligence : February 7–12th, 2020, New York. — Palo Alto : AAAI Press, cop. 2020. — (Proceedings of the ... AAAI Conference on Artificial Intelligence ; ISSN 2159-5399 ; vol 34 no. 02: AAAI-20 Technical Tracks 2). — ISBN: 978-1-57735-835-0. — S. 1910–1917. — Bibliogr. s. 1917, Abstr.