Multi-Agent Coordination

Multi-Agent Coordination refers to the strategies and mechanisms that enable multiple AI agents to work together effectively toward shared or complementary goals. In AI agent prompts, this topic covers how agents communicate, negotiate, share information, allocate tasks, resolve conflicts, and synchronize actions to achieve optimal collective outcomes. It includes both centralized and decentralized coordination approaches, addressing challenges such as scalability, robustness, and adaptability in dynamic environments.