# 第二部分：群体智能与进化

- [第五章 多智能体协作模式](https://yeasy.gitbook.io/agentic_ai_guide/di-er-bu-fen-qun-ti-zhi-neng-yu-jin-hua/05_collaboration.md)
- [5.1 协作架构：层级、扁平与动态](https://yeasy.gitbook.io/agentic_ai_guide/di-er-bu-fen-qun-ti-zhi-neng-yu-jin-hua/05_collaboration/5.1_architectures.md)
- [5.2 角色分工与 SOP 流程编排](https://yeasy.gitbook.io/agentic_ai_guide/di-er-bu-fen-qun-ti-zhi-neng-yu-jin-hua/05_collaboration/5.2_roles_sop.md)
- [5.3 动态组队与自适应编排](https://yeasy.gitbook.io/agentic_ai_guide/di-er-bu-fen-qun-ti-zhi-neng-yu-jin-hua/05_collaboration/5.3_dynamic_teaming.md)
- [5.4 人机协作](https://yeasy.gitbook.io/agentic_ai_guide/di-er-bu-fen-qun-ti-zhi-neng-yu-jin-hua/05_collaboration/5.4_hitl.md)
- [本章小结](https://yeasy.gitbook.io/agentic_ai_guide/di-er-bu-fen-qun-ti-zhi-neng-yu-jin-hua/05_collaboration/summary.md)
- [第六章 通信与社会模拟](https://yeasy.gitbook.io/agentic_ai_guide/di-er-bu-fen-qun-ti-zhi-neng-yu-jin-hua/06_communication.md)
- [6.1 智能体间通信协议设计](https://yeasy.gitbook.io/agentic_ai_guide/di-er-bu-fen-qun-ti-zhi-neng-yu-jin-hua/06_communication/6.1_protocols.md)
- [6.2 生成式社会模拟：斯坦福小镇解析](https://yeasy.gitbook.io/agentic_ai_guide/di-er-bu-fen-qun-ti-zhi-neng-yu-jin-hua/06_communication/6.2_social_simulation.md)
- [6.3 博弈论视角下的冲突解决](https://yeasy.gitbook.io/agentic_ai_guide/di-er-bu-fen-qun-ti-zhi-neng-yu-jin-hua/06_communication/6.3_game_theory.md)
- [6.4 涌现行为与集体智慧](https://yeasy.gitbook.io/agentic_ai_guide/di-er-bu-fen-qun-ti-zhi-neng-yu-jin-hua/06_communication/6.4_emergence.md)
- [6.5 智能体间互操作协议](https://yeasy.gitbook.io/agentic_ai_guide/di-er-bu-fen-qun-ti-zhi-neng-yu-jin-hua/06_communication/6.5_a2a.md)
- [本章小结](https://yeasy.gitbook.io/agentic_ai_guide/di-er-bu-fen-qun-ti-zhi-neng-yu-jin-hua/06_communication/summary.md)
- [第七章 学习、评估与进化](https://yeasy.gitbook.io/agentic_ai_guide/di-er-bu-fen-qun-ti-zhi-neng-yu-jin-hua/07_evolution.md)
- [7.1 从反馈中学习：RLHF 与 RLAIF](https://yeasy.gitbook.io/agentic_ai_guide/di-er-bu-fen-qun-ti-zhi-neng-yu-jin-hua/07_evolution/7.1_rl.md)
- [7.2 评估体系：AgentBench 与基准测试](https://yeasy.gitbook.io/agentic_ai_guide/di-er-bu-fen-qun-ti-zhi-neng-yu-jin-hua/07_evolution/7.2_evaluation.md)
- [7.3 轨迹分析与行为可解释性](https://yeasy.gitbook.io/agentic_ai_guide/di-er-bu-fen-qun-ti-zhi-neng-yu-jin-hua/07_evolution/7.3_tracing.md)
- [7.4 持续学习与知识更新](https://yeasy.gitbook.io/agentic_ai_guide/di-er-bu-fen-qun-ti-zhi-neng-yu-jin-hua/07_evolution/7.4_continuous_learning.md)
- [7.5 推理能力的提升：从快速响应到深度思考](https://yeasy.gitbook.io/agentic_ai_guide/di-er-bu-fen-qun-ti-zhi-neng-yu-jin-hua/07_evolution/7.5_reasoning.md)
- [本章小结](https://yeasy.gitbook.io/agentic_ai_guide/di-er-bu-fen-qun-ti-zhi-neng-yu-jin-hua/07_evolution/summary.md)


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://yeasy.gitbook.io/agentic_ai_guide/di-er-bu-fen-qun-ti-zhi-neng-yu-jin-hua.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.