Justifying Groups in Multiwinner Approval Voting

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. 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.

[1]  D. Marc Kilgour,et al.  Approval Balloting for Multi-winner Elections , 2010 .

[2]  Piotr Faliszewski,et al.  Multiwinner Voting: A New Challenge for Social Choice Theory , 2017 .

[3]  Pasin Manurangsi,et al.  Losing Treewidth by Separating Subsets , 2019, SODA.

[4]  M. L. Fisher,et al.  An analysis of approximations for maximizing submodular set functions—I , 1978, Math. Program..

[5]  Douglas Muzzio,et al.  APPROVAL VOTING , 1983 .

[6]  Sanjeev Arora,et al.  Probabilistic checking of proofs: a new characterization of NP , 1998, JACM.

[7]  Craig Boutilier,et al.  Social Choice : From Consensus to Personalized Decision Making , 2011 .

[8]  Vijay V. Vazirani,et al.  Approximation Algorithms , 2001, Springer Berlin Heidelberg.

[9]  Edith Elkind,et al.  Structure in Dichotomous Preferences , 2015, IJCAI.

[10]  Piotr Faliszewski,et al.  An Experimental View on Committees Providing Justified Representation , 2019, IJCAI.

[11]  Piotr Faliszewski,et al.  Multiwinner Elections with Diversity Constraints , 2017, AAAI.

[12]  Carsten Lund,et al.  Proof verification and hardness of approximation problems , 1992, Proceedings., 33rd Annual Symposium on Foundations of Computer Science.

[13]  David S. Johnson,et al.  Computers and Intractability: A Guide to the Theory of NP-Completeness , 1978 .

[14]  Piotr Faliszewski,et al.  An Analysis of Approval-Based Committee Rules for 2D-Euclidean Elections , 2021, AAAI.

[15]  Yongjie Yang,et al.  On the Tree Representations of Dichotomous Preferences , 2019, IJCAI.