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GovSim-SelfGovern:LLM 智能体自我治理实验

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2026年10月9日,arXiv Multiagent Systems 发布一手研究,构建 GovSim-SelfGovern,让 LLM 智能体用可执行 Python 立法、在沙箱中测试并投票。实验显示:资源丰富时,自治将社区无人饿死的存活率从 52.5% 提升到 75.0%;资源不足时,治理无法拯救公共资源,因为智能体常起草驱逐法却投票否决。

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Oct 9, 2026
  1. arXiv · Multiagent Systems
    GovSim-SelfGovern:LLM 智能体能否在崩溃中自我治理并自我牺牲?

    研究构建 GovSim-SelfGovern,让 LLM 智能体用可执行 Python 立法、沙箱测试并投票。资源丰富时自治将社区无人饿死的存活率从 52.5% 提升到 75.0%;资源不足时治理无法拯救公共资源,因为智能体常起草驱逐法却投票否决。

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