Multi-Agent System

A Multi-Agent System (MAS) is a sophisticated AI architecture consisting of multiple autonomous agents that interact, collaborate, and sometimes compete to solve complex problems that would be difficult or impossible for a single agent to handle. Each agent in the system operates independently with its own goals and capabilities, but they communicate and coordinate with other agents to achieve collective objectives. These systems are particularly valuable for handling complex, distributed problems that require diverse skills or perspectives. Applications include traffic management systems where multiple agents control different intersections, trading systems where agents represent different market participants, and robotics swarms where multiple robots work together. Multi-agent systems can exhibit emergent behaviors where the collective intelligence exceeds the capabilities of individual agents. Modern implementations often use advanced AI techniques including reinforcement learning and natural language processing to enable more sophisticated agent interactions and coordination.