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AI代理的信念形成反映了复杂的社会传染动力学

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员开发了一个新模型来理解信念如何在AI代理之间传播，重点关注社会传染的动力学。该研究实证测量了语言模型代理如何根据同伴的认可来采纳主张，发现采纳遵循复杂传染的特征性S形模式。这种采纳阈值受到主张的合理性、来源的可靠性以及代理的倾向性的影响，所有这些都可以概括为信念与代理先验知识的一致性。研究还观察到，信念传播在聚集网络中更为明显，一旦形成共识就难以逆转。 AI

影响 为了解AI代理可能如何形成和传播信念提供了见解，这对于理解多代理系统中出现的行为至关重要。

排序理由 该集群包含一篇详细介绍AI代理行为新研究发现的学术论文。

在 arXiv cs.AI 阅读 →

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AI代理的信念形成反映了复杂的社会传染动力学

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该集群包含一篇详细介绍AI代理行为新研究发现的学术论文。
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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Tathagata Banerjee, Nima Moghaddas ·

    Coherence-Driven Belief Formation and Population Dynamics of Contagion in LLM Agents

    arXiv:2610.02654v1 Announce Type: new Abstract: Models of social contagion usually assume how individuals adopt beliefs and derive population behavior from it. We instead empirically measure belief adoption in language model agents, quantifying the probability an agent adopts a c…

  2. arXiv cs.MA (Multiagent) TIER_1 English(EN) · Nima Moghaddas ·

    LLM代理中的一致性驱动信念形成与传染性种群动力学

    Models of social contagion usually assume how individuals adopt beliefs and derive population behavior from it. We instead empirically measure belief adoption in language model agents, quantifying the probability an agent adopts a claim given how many peers endorse it. We find th…

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