Nash Core in Multiwinner Election

📅 2026-08-31
📈 Citations: 0
Influential: 0
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🤖 AI Summary
本文研究了多胜者选举中的Nash核心问题,通过候选人加权纳什社会福利最大化的方法找到解决方案,并在实际投票数据中验证了该方法的有效性。
📝 Abstract
In the approval-based committee selection problem, a committee is said to be in the core if no subset of voters has an incentive to deviate by selecting a \emph{blocking} committee of proportional size, such that every voter in the deviating group strictly prefers the blocking committee. We consider the setting where candidates can be selected fractionally. Under a mild regularity assumption, we show that there always exists a weighting of candidates such that the fractional committee maximizing the candidate-weighted Nash Social Welfare is in the core. We refer to such a solution as being in the \emph{Nash core}. Additionally, we show that a Nash core solution admits a payment assignment between voters and candidates, where each voter pays a candidate they approve in proportion to the weight. For the discrete setting, where each candidate is either included or excluded from the committee, we prove that every approval-based committee election with at most eight equally weighted voters has a core committee by rounding the fractional Nash core solution. Although the non-emptiness of the core in this setting remains an open question and checking core membership is coNP-hard, we extend the notion of the Nash core to the discrete case, yielding a formulation that is efficiently verifiable and offers a promising path toward establishing core existence in discrete settings. Finally, we test our approach on real voting data using a payment-guided heuristic. We empirically show that the Nash core solution can be efficiently computed through an iterative algorithm in both the fractional and discrete settings.
Problem

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

Nash Core
Multiwinner Election
Approval-based Committee Selection
Fractional Candidates
Discrete Setting
Innovation

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

Nash Core
Approval-based Committee Selection
Fractional Candidates
Discrete Setting
Payment-guided Heuristic
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