On the complexity of extended and proportional justified representation

Haris Aziz, Martin Lackner, Edith Elkind, Luis Sánchez-Fernández, Shenwei Huang, Piotr Skowron

Research output: Chapter in Book/Report/Conference proceedingConference contribution

59 Scopus citations

Abstract

We consider the problem of selecting a fixed-size committee based on approval ballots. It is desirable to have a committee in which all voters are fairly represented. Aziz et al. (2015a; 2017) proposed an axiom called extended justified representation (EJR), which aims to capture this intuition; subsequently, Sánchez-Fernández et al. (2017) proposed a weaker variant of this axiom called proportional justified representation (PJR). It was shown that it is coNP-complete to check whether a given committee provides EJR, and it was conjectured that it is hard to find a committee that provides EJR. In contrast, there are polynomial-time computable voting rules that output committees providing PJR, but the complexity of checking whether a given committee provides PJR was an open problem. In this paper, we answer open questions from prior work by showing that EJR and PJR have the same worst-case complexity: we provide two polynomial-time algorithms that output committees providing EJR, yet we show that it is coNP-complete to decide whether a given committee provides PJR. We complement the latter result by fixed-parameter tractability results.

Original languageEnglish (US)
Title of host publication32nd AAAI Conference on Artificial Intelligence, AAAI 2018
PublisherAAAI Press
Pages902-909
Number of pages8
ISBN (Electronic)9781577358008
StatePublished - 2018
Event32nd AAAI Conference on Artificial Intelligence, AAAI 2018 - New Orleans, United States
Duration: Feb 2 2018Feb 7 2018

Publication series

Name32nd AAAI Conference on Artificial Intelligence, AAAI 2018

Other

Other32nd AAAI Conference on Artificial Intelligence, AAAI 2018
Country/TerritoryUnited States
CityNew Orleans
Period2/2/182/7/18

Funding

This paper is based on a merge of four technical reports (Aziz and Huang 2016; 2017; Skowron et al. 2017; Sánchez-Fernández, Elkind, and Lackner 2017). The authors are grateful to the anonymous AAAI reviewers for their helpful comments. Aziz was supported by a Julius Career Award. Elkind and Lackner were supported by the European Research Council (ERC) under grant number 639945 (ACCORD); Lackner was also supported by the Austrian Science Foundation FWF, grants P25518 and Y698. Sánchez-Fernández was supported by the Spanish Ministerio de Economía y Competitividad (project AUDACity TIN2016-77158-C4-1-R) and by the Autonomous Community of Madrid (project e-Madrid S2013/ICE-2715). Skowron was supported by a Humboldt Research Fellowship for Postdoctoral Researchers.

ASJC Scopus subject areas

  • Artificial Intelligence

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