智能体系统中的协同进化：迈向超越人类设计的自导进化

AI 摘要

该论文是一篇关于智能体系统协同进化的综述，提出了一种渐进式三阶段分类法，涵盖智能体间、智能体与环境以及元协同进化。文章讨论了评估、扩展和安全控制等开放挑战，旨在为构建超越人类固定设计路径的开放型智能体系统提供统一基础。

正文节选

Co-Evolution in Agentic Systems: Toward Self-Directed Evolution Beyond Human Design Abstract Agentic systems can achieve open-ended improvement through multi-component co-evolution that progressively removes fixed human constraints across agents, environments, and evolution mechanisms. Agentic systems are increasingly expected to improve after deployment, yet single-entity self-evolution is often bounded by a static learning context, such as fixed tasks and feedback. This survey focuses on co-ev

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抓取时间：2026-08-12 12:13

来源机构：Hugging Face