English(EN) Degrees of Freedom in Multi-Agent Coordination: Between Centralized and Decentralized Regimes

新框架“自由度”优化大语言模型多智能体协调

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-13 05:32

研究人员引入了一个名为自由度（DoF）的新框架，用于探索大型语言模型（LLM）多智能体系统（MAS）中集中式与分布式控制之间的协调格局。DoF量化了委托给智能体的决策权，其端点代表完全集中式或分布式体制。跨不同任务领域的实验表明，中间的DoF配置通常优于两个极端，实现了更高的平均准确率。该研究强调，最优协调策略取决于任务，为设计更有效的大语言模型MAS提供了经验指导。 AI

影响通过探索中间协调策略，为优化大语言模型多智能体系统的性能提供了一个新框架。

排序理由介绍多智能体系统新框架的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.MA (Multiagent) 阅读 →

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arXiv cs.MA (Multiagent) TIER_1 English(EN) · Chengwei Qin · 2026-10-13 05:32

多智能体协调中的自由度：在集中式与分布式体制之间

Large language model (LLM)-based multi-agent systems (MAS) are commonly organized around two coordination regimes. Centralized coordination provides explicit control but can create a bottleneck at a single coordination locus, whereas decentralized coordination offers local autono…

本文如何被排名

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多智能体协调中的自由度：在集中式与分布式体制之间

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