Multi-agent AI systems

Multi-agent AI systems (MAS) consist of multiple autonomous agents that interact within a shared environment to achieve individual or collective goals. Each agent possesses its own capabilities, knowledge, and objectives, allowing for specialization in tasks. These systems can operate cooperatively or competitively, enhancing problem-solving efficiency by distributing complex tasks among agents. Key features include decentralized control, where no single agent dominates, and dynamic interactions that facilitate coordination and communication. Applications range from robotics and automated trading to traffic management, showcasing their versatility in addressing challenges that exceed the capabilities of single-agent systems 124.