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English(EN) WolfSociety: Understanding Collective Risk from Harmful-Agent Scaling in Financial Agent Societies

研究:恶意代理在金融社会中带来非线性、规模依赖性风险

一篇题为“WolfSociety”的新研究论文探讨了在金融代理社会中规模化恶意代理所带来的集体风险。研究发现,即使恶意代理数量固定,随着社会规模的增加,集体失败的可能性也越大,其特征是广泛的有害信息传播和严重的市场错位。该研究引入了一个名为“代理社会动力学”的框架,以更好地理解这些规模依赖性的崩溃转变,并强调了网络结构和代理从众性在加剧或缓解风险中的关键作用。 AI

影响 强调了规模化恶意AI代理可能导致不可预测的、非线性的社会风险,从而需要新的安全评估框架。

排序理由 关于AI安全风险的基于代理的模型分析的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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研究:恶意代理在金融社会中带来非线性、规模依赖性风险

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关于AI安全风险的基于代理的模型分析的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Lejun Zhang, Sarah Lu-Liang, Xin Jiang, Muning Wen, Weinan Zhang, Shangding Gu ·

    WolfSociety:理解金融代理人社会中来自有害代理人扩展的集体风险

    arXiv:2609.05591v1 Announce Type: cross Abstract: Safety evaluations typically focus on individual agents, but interacting agents can spread harmful information and influence the environment in which later decisions are made. We study how collective failure changes with harmful-a…