The Price of Justified Representation

Author:

Elkind Edith1ORCID,Faliszewski Piotr2ORCID,Igarashi Ayumi3ORCID,Manurangsi Pasin4ORCID,Schmidt-Kraepelin Ulrike5ORCID,Suksompong Warut6ORCID

Affiliation:

1. University of Oxford, Oxford, United Kingdom and Alan Turing Institute, London, United Kingdom

2. AGH University of Science and Technology, Kraków Poland

3. University of Tokyo, Tokyo, Japan

4. Google Research, Bangkok, Thailand

5. TU Eindhoven, Eindhoven, Netherlands

6. National University of Singapore, Singapore Singapore

Abstract

In multiwinner approval voting, the goal is to select a k -member committee based on voters’ approval ballots. A well-studied concept of proportionality in this context is the justified representation (JR) axiom, which demands that no large cohesive group of voters remains unrepresented. However, the JR axiom may conflict with other desiderata, such as social welfare (the number of approvals obtained by committee members) or coverage (the number of voters who approve at least one committee member). In this article, we investigate the price of imposing the JR axiom (as well as the more demanding extended justified representation axiom) on social welfare and coverage. Our approach is twofold: We derive worst-case bounds on the loss of welfare/coverage caused by imposing JR and study the computational complexity of finding committees with high welfare that provide JR (obtaining hardness results, approximation algorithms, and an exact algorithm for one-dimensional preferences).

Funder

European Union’s Horizon 2020 research and innovation programme

Deutsche Forschungsgemeinschaft

JST PRESTO

Singapore Ministry of Education

Publisher

Association for Computing Machinery (ACM)

Reference42 articles.

1. The Price of Stability for Network Design with Fair Cost Allocation

2. Justified representation in approval-based committee voting

3. On the Complexity of Extended and Proportional Justified Representation

4. Haris Aziz, Serge Gaspers, Joachim Gudmundsson, Simon Mackenzie, Nicholas Mattei, and Toby Walsh. 2015. Computational aspects of multi-winner approval voting. In Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS’15). 107–115.

5. The Price of Connectivity in Fair Division

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