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English(EN) The Delegation Dilemma: Economies of Scale, Accountability, and Polycentric Governance

LLM 代理在新的研究论文中探讨委托困境

作者 PulseAugur 编辑部 · [2 个来源] ·

一篇题为《委托困境：规模经济、问责制和多中心治理》的新研究论文探讨了集体行动系统中的代理如何组织成机构。这项由 Panayiotis Danassis 进行的研究使用大型语言模型 (LLM) 代理进行模拟，以研究选区规模与其对代表的问责制之间的权衡。研究结果表明，更大的群体受益于成本分摊，但可能导致问责制降低，并且在某些情况下可能出现多中心治理结构。 AI

影响 研究 LLM 代理在模拟集体行动场景中的行为，为人工智能治理和决策提供见解。

排序理由 在 arXiv 上发表的研究论文。

在 arXiv cs.MA (Multiagent) 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

LLM 代理在新的研究论文中探讨委托困境

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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Arin Mukhopadhyay, Aris Filos-Ratsikas, Panayiotis Danassis ·

    代表团困境：规模经济、问责制与多中心治理

    arXiv:2610.21746v1 Announce Type: cross Abstract: Many collective-action systems are neither fully decentralized nor fully centralized: agents voluntarily organize into institutions that share organizational costs and delegate decisions to representatives. Delegation can reduce i…

  2. arXiv cs.MA (Multiagent) TIER_1 English(EN) · Panayiotis Danassis ·

    代表团困境：规模经济、问责制与多中心治理

    Many collective-action systems are neither fully decentralized nor fully centralized: agents voluntarily organize into institutions that share organizational costs and delegate decisions to representatives. Delegation can reduce individual costs, but it also transfers control to …

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