On the Complexity of Extended and Proportional Justified Representation
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, Sanchez-Fernandez 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.
Cite
Text
Aziz et al. "On the Complexity of Extended and Proportional Justified Representation." AAAI Conference on Artificial Intelligence, 2018. doi:10.1609/AAAI.V32I1.11478Markdown
[Aziz et al. "On the Complexity of Extended and Proportional Justified Representation." AAAI Conference on Artificial Intelligence, 2018.](https://mlanthology.org/aaai/2018/aziz2018aaai-complexity/) doi:10.1609/AAAI.V32I1.11478BibTeX
@inproceedings{aziz2018aaai-complexity,
title = {{On the Complexity of Extended and Proportional Justified Representation}},
author = {Aziz, Haris and Elkind, Edith and Huang, Shenwei and Lackner, Martin and Fernández, Luis Sánchez and Skowron, Piotr},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2018},
pages = {902-909},
doi = {10.1609/AAAI.V32I1.11478},
url = {https://mlanthology.org/aaai/2018/aziz2018aaai-complexity/}
}