---
id: 20261024-T0-04
title: "RoleFlow：多角色AI智能体靠结构自适应自我进化"
title_en: "RoleFlow Lets Multi-Role AI Agents Self-Evolve via Structural Adaptation"
url: https://ai.daily.yangsir.net/daily/20261024-T0-04
issue_date: 2026-10-24
publish_date: 2026-10-23T04:00:00.000Z
category: research
source_name: "arXiv cs.AI"
source_url: https://arxiv.org/abs/2610.30429
---

# RoleFlow：多角色AI智能体靠结构自适应自我进化

arXiv 新论文提出 RoleFlow，一种让基于大语言模型的多智能体系统摆脱预设协作结构的方法。现有系统多依赖固定的角色分工和交互流程，任务需求变化时难以调整；RoleFlow 通过结构自适应机制，让智能体在运行中动态调整协作方式，并用轨迹级奖励信号驱动优化。论文称该方法提升了系统对演化任务的适应能力。实际意义在于：多智能体开发可以减少手工设计协作流程的工作量，让系统在任务变化时自行重组分工。

## English Version

**RoleFlow Lets Multi-Role AI Agents Self-Evolve via Structural Adaptation**

A new arXiv paper introduces RoleFlow, a method that lets LLM-based multi-agent systems move beyond predefined collaboration structures. Existing systems typically rely on fixed role assignments and interaction flows, which limit adaptability as task requirements evolve. RoleFlow uses structural adaptation to let agents dynamically reorganize how they collaborate at runtime, optimized with trajectory-level rewards. The approach aims to improve adaptability to changing tasks. In practice, it could reduce manual work in designing multi-agent workflows and allow systems to reorganize roles on their own.

---

**来源**：[arXiv cs.AI](https://arxiv.org/abs/2610.30429)

**详情页**：https://ai.daily.yangsir.net/daily/20261024-T0-04

---

*智语观潮 · Daily — https://ai.daily.yangsir.net/llms.txt*