Multi-Agent Systems (MAS)

Multi-Agent Systems (MAS) are distributed computing environments where multiple autonomous AI Agents interact, coordinate, and collaborate to solve complex problems that exceed the capabilities of individual agents. These systems feature agents with distinct roles, goals, and capabilities that communicate through message passing, shared environments, or coordination protocols to achieve collective objectives. MAS enable distributed problem-solving, parallel processing, fault tolerance, and emergent intelligent behavior through agent cooperation, competition, or negotiation. Key advantages include scalability, robustness, specialization, and the ability to handle dynamic, uncertain environments. Applications span autonomous vehicles, smart grids, supply chain management, and distributed manufacturing, where decentralized intelligence and coordination deliver superior performance compared to centralized approaches.