Jointly Satisfying Pareto Optimality and Justified Representation is NP-Hard in Approval-Based Multiwinner Voting

📅 2026-09-08
📈 Citations: 0
Influential: 0
📄 PDF
🤖 AI Summary
研究证明在基于批准的多胜者投票中,同时满足正当代表性和帕累托最优性的委员会计算问题是NP难的。
📝 Abstract
An open problem in approval-based multiwinner voting concerns whether we can efficiently compute committees that satisfy both justified representation and Pareto optimality. We answer this question negatively by proving that, on the domain of all profiles, outputting a committee satisfying both axioms is NP-hard. An initial proof was found by ChatGPT Astra. This was then verified and rewritten by the author.
Problem

Research questions and friction points this paper is trying to address.

approval-based multiwinner voting
justified representation
Pareto optimality
NP-hard
Innovation

Methods, ideas, or system contributions that make the work stand out.

Pareto Optimality
Justified Representation
Approval-Based Voting
NP-Hard
🔎 Similar Papers
No similar papers found.
C
Chris Dong
Hasso Plattner Institute, University of Potsdam