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arXiv 2108.01987cs.GTcs.AI
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限制域下的核心稳定委员会

Core-Stable Committees under Restricted Domains

University of Warsaw(华沙大学)

Grzegorz Pierczyński, Piotr Skowron

摘要:

我们研究了委员会选举的设置,其中一组个人需要集体选择一个给定大小的可用对象的子集。这个模型是相关的一些现实生活中的场景,包括政治选举,参与式预算,和设施的位置。我们注重核心-相称、稳定和公平的经典概念。我们发现,对于一些限制域,包括选民间隔,候选人间隔,单峰,和单交叉偏好的核心是非空的,可以在多项式时间。我们表明,核心可能是空的严格的顶部单调的偏好,但我们引入了放松这个类,保证非空的核心。我们的算法工作在随机和离散模型。我们还表明,经典的已知比例规则不返回委员会的核心,即使是最严格的域中,我们认为(特别是一维欧几里德偏好)。我们还证明了一些结构的结果,更好地了解一些限制域的性质,特别是给一个更好的直观的理解类的顶部单调的偏好。

英文摘要:

We study the setting of committee elections, where a group of individuals needs to collectively select a given size subset of available objects. This model is relevant for a number of real-life scenarios including political elections, participatory budgeting, and facility-location. We focus on the core -- the classic notion of proportionality, stability and fairness. We show that for a number of restricted domains including voter-interval, candidate-interval, single-peaked, and single-crossing preferences the core is non-empty and can be found in polynomial time. We show that the core might be empty for strict top-monotonic preferences, yet we introduce a relaxation of this class, which guarantees non-emptiness of the core. Our algorithms work both in the randomized and discrete models. We also show that the classic known proportional rules do not return committees from the core even for the most restrictive domains among those we consider (in particular for 1D-Euclidean preferences). We additionally prove a number of structural results that give better insights into the nature of some of the restricted domains, and which in particular give a better intuitive understanding of the class of top-monotonic preferences.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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