Multi-Agent Systems
This chapter explores collaboration, communication, and competition among multiple agents — from classical multi-agent theory to modern LLM-based multi-agent frameworks.
Contents:
- Overview of Multi-Agent Systems — Fundamental concepts and research paradigms
- Communication Protocols and Message Passing — Communication mechanisms, protocols, and message passing between agents
- Collaboration Patterns — Classification, implementation, and applicable scenarios of multi-agent collaboration
- Game Theory and Mechanism Design — Game-theoretic analysis frameworks and incentive mechanism design
- Multi-Agent Frameworks — AutoGen, CrewAI, MetaGPT, and other modern frameworks
- Emergent Behavior and Swarm Intelligence — Swarm intelligence, emergence, and self-organization
- Multi-Agent Frontiers — Frontier research and open problems in LLM multi-agent systems