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新理论模拟大规模多智能体系统中的联盟动态

本文介绍了一种分析大规模多智能体系统中联盟动态的新理论。它扩展了诸如Aumann-Shapley值之类的概念,以模拟智能体如何决定加入、退出或留在联盟中。该研究建立了均衡条件并证明了向这些状态的收敛,统一了各种博弈论框架。 AI

影响 该研究为理解复杂的智能体交互提供了一个理论框架,可能适用于涉及多智能体协调的AI系统。

排序理由 该集群包含一篇发表在arXiv上的研究论文。

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

新理论模拟大规模多智能体系统中的联盟动态

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该集群包含一篇发表在arXiv上的研究论文。
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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Quanyan Zhu ·

    连续合作博弈中的退出-加入动态与均衡

    arXiv:2606.28824v1 Announce Type: cross Abstract: This paper develops a continuum theory of exit-and-join coalition dynamics in nonatomic cooperative games. We extend the Aumann-Shapley value and the Aumann-Dr\`eze value to coalition structures in which each coalition is treated …

  2. arXiv cs.MA (Multiagent) TIER_1 English(EN) · Quanyan Zhu ·

    连续合作博弈中的退出-加入动态与均衡

    This paper develops a continuum theory of exit-and-join coalition dynamics in nonatomic cooperative games. We extend the Aumann-Shapley value and the Aumann-Drèze value to coalition structures in which each coalition is treated as a restricted nonatomic game, yielding a marginal-…