图上联盟形成中的个体稳定动力学

Angelo FanelliLAMSADE, Laurent GourvèsLAMSADE, Ayumi IgarashiUTokyo, Luca MoscardelliUd'A
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引用次数: 0

摘要

图上的联盟形成是一类研究得很透彻的博弈,博弈者是顶点,可行联盟必须是连通的子图。在这种情况下,在各种稳定性条件下均衡状态的存在和计算引起了人们的广泛关注。然而,对于博弈者从任何可行状态出发,经过一系列单边改进偏离后努力达到均衡的自然过程,研究较少。我们从以下角度来研究动态趋近于个体稳定结果的问题:保证趋近的最一般的偏好和图拓扑是什么?为此,一方面,我们研究了偏好的层次,从最一般的偏好到可加可分偏好的子情形,包括个别理性和单调情形。另一方面,考虑到即使在我们最严格的偏好类别中,收敛也可能在允许循环的图中失败,我们分析了无循环图拓扑,如树、路径和星。
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Individually Stable Dynamics in Coalition Formation over Graphs
Coalition formation over graphs is a well studied class of games whose players are vertices and feasible coalitions must be connected subgraphs. In this setting, the existence and computation of equilibria, under various notions of stability, has attracted a lot of attention. However, the natural process by which players, starting from any feasible state, strive to reach an equilibrium after a series of unilateral improving deviations, has been less studied. We investigate the convergence of dynamics towards individually stable outcomes under the following perspective: what are the most general classes of preferences and graph topologies guaranteeing convergence? To this aim, on the one hand, we cover a hierarchy of preferences, ranging from the most general to a subcase of additively separable preferences, including individually rational and monotone cases. On the other hand, given that convergence may fail in graphs admitting a cycle even in our most restrictive preference class, we analyze acyclic graph topologies such as trees, paths, and stars.
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