Computation Problems for Envy Stable Solutions of Allocation Problems with Public Resources

N. Naumova
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Abstract

We consider generalizations of TU games with restricted cooperation in partition function form and propose their interpretation as allocation problems with several public resources. Either all resources are goods or all resources are bads. Each resource is distributed between points of its set and permissible coalitions are subsets of the union of these sets. Each permissible coalition estimates each allocation of resources by its gain/loss function, that depends only on the restriction of the allocation on that coalition. A solution concept of "fair" allocation (envy stable solution) was proposed by the author in (Naumova, 2019). This solution is a simplification of the generalized kernel of cooperative games and it generalizes the equal sacrifice solution for claim problems. An allocation belongs to this solution if there do not exist special objections at this allocation between permissible coalitions. For several classes of such problems we describe methods for computation selectors of envy stable solutions.
公共资源配置问题羡慕稳定解的计算问题
我们以配分函数的形式考虑具有限制合作的TU对策的推广问题,并将其解释为具有多个公共资源的分配问题。要么所有资源都是好的,要么所有资源都是坏的。每个资源分布在其集合的点之间,允许的联盟是这些集合的并集的子集。每个允许的联盟通过其收益/损失函数来估计资源的每次分配,该函数仅取决于对该联盟的分配限制。作者在(Naumova, 2019)中提出了“公平”分配的解决方案概念(嫉妒稳定方案)。该解是对合作对策广义核的简化,推广了索赔问题的等牺牲解。如果在允许的联盟之间的分配不存在特殊的反对意见,则该分配属于该解决方案。对于这类问题,我们给出了羡慕稳定解选择器的计算方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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