基于顺序偏好的稳定群体活动选择

Andreas Darmann
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引用次数: 1

摘要

在一些情况下,需要根据代理的偏好将其分配给活动,并且每个代理最多只能参加一个活动。通常,代理人的偏好不仅取决于活动本身,还取决于各自活动的参与者数量。在我们考虑的设置中,代理人因此对“(活动,群体规模)”有偏好,包括“什么都不做”的可能性;在这项工作中,这些偏好被假定为严格的顺序。对于不同的稳定性概念,如纳什或核心稳定性,以及帕累托最优分配,任务将是找到智能体对活动的稳定分配。在这方面,特别关注的是被考虑模型中固有的代理人偏好的两个自然特殊情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Stable Group Activity Selection from Ordinal Preferences
In several situations agents need to be assigned to activities on basis of their preferences, and each agent can take part in at most one activity. Often, the preferences of the agents do not depend only on the activity itself but also on the number of participants in the respective activity. In the setting we consider, the agents hence have preferences over pairs "(activity, group size)" including the possibility "do nothing"; in this work, these preferences are assumed to be strict orders. The task will be to find stable assignments of agents to activities, for different concepts of stability such as Nash or core stability, and Pareto optimal assignments respectively. In this respect, particular focus is laid on two natural special cases of agents' preferences inherent in the considered model.
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