Szczegóły publikacji

Opis bibliograficzny

Justifying groups in multiwinner approval voting / Edith Elkind, Piotr FALISZEWSKI, Ayumi Igarashi, Pasin Manurangsi, Ulrike Schmidt-Kraepelin, Warut Suksompong // Theoretical Computer Science ; ISSN 0304-3975. — 2023 — vol. 969 art. no. 114039, s. 1–17. — Bibliogr. s. 17, Abstr. — Publikacja dostępna online od: 2023-06-20


Autorzy (6)

  • Elkind Edith
  • AGHFaliszewski Piotr
  • Igarashi Ayumi
  • Manurangsi Pasin
  • Schmidt-Kraepelin Ulrike
  • Suksompong Warut

Słowa kluczowe

computational social choicemulti-winner votingjustified representation

Dane bibliometryczne

ID BaDAP150215
Data dodania do BaDAP2024-01-04
Tekst źródłowyURL
DOI10.1016/j.tcs.2023.114039
Rok publikacji2023
Typ publikacjiartykuł w czasopiśmie
Otwarty dostęptak
Creative Commons
Czasopismo/seriaTheoretical Computer Science

Abstract

Justified representation (JR) is a standard notion of representation in multiwinner approval voting. Not only does a JR committee always exist, but previous work has also shown through experiments that the JR condition can typically be fulfilled by groups of fewer than k candidates, where k is the target size of the committee. In this paper, we study such groups—known as n/k-justifying groups—both theoretically and empirically. First, we show that under the impartial culture model, n/k-justifying groups of size less than k/2 are likely to exist, which implies that the number of JR committees is usually large. We then present efficient approximation algorithms that compute a small n/k-justifying group for any given instance, and a polynomial-time exact algorithm when the instance admits a tree representation. In addition, we demonstrate that small n/k-justifying groups can often be useful for obtaining a gender-balanced JR committee even though the problem is NP-hard.

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Ties in multiwinner approval voting / Łukasz JANECZKO, Piotr FALISZEWSKI // 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. 2765-2773. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 2772-2773, Abstr.