匹配的知音

Greg Leo, Jian Lou, Martin Van der Linden, Yevgeniy Vorobeychik, M. Wooders
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引用次数: 14

摘要

我们研究了灵魂伴侣的迭代匹配[IMS]——匹配每个成员(灵魂伴侣)最喜欢的联盟的过程,以及剩余群体中灵魂伴侣的联盟,等等。IMS产生的联盟属于任何稳定的分区,实现IMS的机制使这些联盟中的参与者(或至少相信他们是)没有动机偏离真实的偏好报告,即使是联合的。当每个人都被IMS匹配时,这些机制是稳定的,并且具有真实的强纳什均衡。此外,我们使用真实世界的数据和模拟表明,IMS匹配许多人的场景在自然偏好类型下很常见。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Matching Soulmates
We study iterated matching of soulmates [IMS] — the process of matching coalitions that are the favorite for each member (soulmates), coalitions of soulmates in the remaining group, and so on. Coalitions produced by IMS belong to any stable partition and mechanisms that implement IMS give players in these coalitions (or who at least believe they are) no incentive to deviate from truthful preference reporting, even jointly. When everyone is matched by IMS, these mechanisms are stable and have a truthful strong Nash equilibrium. Furthermore, we show, using real-world data and simulation, that scenarios in which many people are matched by IMS are common under natural kinds of preferences.
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