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English(EN) Delayed Repression and Emergent Instability in Adaptive Multi-Agent Systems

研究发现:延迟调控会破坏自适应AI智能体的稳定性

一篇新研究论文探讨了监管干预延迟如何破坏自适应多智能体系统的稳定性。研究发现,对信号立即做出反应的反应式智能体在面对延迟抑制时极易出现不稳定性,导致振荡。相比之下,使用强化学习(Q学习)的智能体由于能够从过去的惩罚中学习,缓冲了延迟反馈的破坏性影响,因此表现出更强的韧性。 AI

影响 强调了系统设计和反应延迟可能导致AI智能体出现涌现不稳定性,从而影响安全可靠的多智能体系统的设计。

排序理由 这是一篇发表在arXiv上的研究论文,详细介绍了理论分析和模拟结果。

在 arXiv cs.MA (Multiagent) 阅读 →

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研究发现:延迟调控会破坏自适应AI智能体的稳定性

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这是一篇发表在arXiv上的研究论文,详细介绍了理论分析和模拟结果。
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报道来源 [2]

  1. arXiv cs.MA (Multiagent) TIER_1 English(EN) · Igor Itkin ·

    自适应多智能体系统中的延迟抑制与涌现不稳定性

    Regulatory institutions (from content moderation platforms to financial supervisors) observe, deliberate, and intervene only after a characteristic delay. We ask whether this processing lag alone can destabilize a multi-agent system that would otherwise remain stable, without exo…

  2. arXiv cs.MA (Multiagent) TIER_1 English(EN) · Igor Itkin ·

    自适应多智能体系统中的延迟抑制与涌现不稳定性

    Regulatory institutions (from content moderation platforms to financial supervisors) observe, deliberate, and intervene only after a characteristic delay. We ask whether this processing lag alone can destabilize a multi-agent system that would otherwise remain stable, without exo…