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English(EN) Computing Equilibrium beyond Unilateral Deviation

新的均衡概念最小化联盟偏离激励

研究人员开发了一种新的博弈论解概念,解决了传统均衡模型的局限性。该概念侧重于最小化联盟偏离的激励,而不是要求完全不存在,从而确保其存在。该论文介绍了基于平均和最大联盟收益计算均衡的算法,并为这些目标设定了复杂性界限。 AI

影响 引入了分析战略互动的新理论框架,可能影响AI代理设计和多代理系统。

排序理由 关于新颖博弈论解概念的学术论文。

在 arXiv cs.AI 阅读 →

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新的均衡概念最小化联盟偏离激励

报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Mingyang Liu, Gabriele Farina, Asuman Ozdaglar ·

    Computing Equilibrium beyond Unilateral Deviation

    arXiv:2604.28186v1 Announce Type: cross Abstract: Most familiar equilibrium concepts, such as Nash and correlated equilibrium, guarantee only that no single player can improve their utility by deviating unilaterally. They offer no guarantees against profitable coordinated deviati…

  2. arXiv cs.AI TIER_1 English(EN) · Asuman Ozdaglar ·

    Computing Equilibrium beyond Unilateral Deviation

    Most familiar equilibrium concepts, such as Nash and correlated equilibrium, guarantee only that no single player can improve their utility by deviating unilaterally. They offer no guarantees against profitable coordinated deviations by coalitions. Although the literature propose…