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Agentic Hives 框架模拟自组织多智能体系统动力学

研究人员引入了 Agentic Hive,一个用于管理具有动态种群的自组织多智能体 AI 系统的新型框架。该系统允许智能体实时创建、销毁或重新专业化,以适应不断变化的资源和目标。该框架借鉴了经济增长理论,证明了帕累托最优均衡的存在,并确定了多个均衡、内生周期和不稳定的条件。 AI

影响 为操作员提供了一个正式的工具包,用于预测和引导自组织多智能体系统的群体演变。

排序理由 这是一篇介绍多智能体系统新理论框架的研究论文。

在 arXiv cs.AI 阅读 →

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Agentic Hives 框架模拟自组织多智能体系统动力学

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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Jean-Philippe Garnier (Br.AI.K) ·

    Agentic Hives: 自组织多主体系统中的均衡、不确定性和内生周期

    arXiv:2603.00130v2 Announce Type: replace-cross Abstract: Current multi-agent AI systems operate with a fixed number of agents whose roles are specified at design time. No formal theory governs when agents should be created, destroyed, or re-specialized at runtime-let alone how t…