Many-Agents Systems

Many-Agent Systems are collections of independent entities, or "agents," that interact with each other and their environment to achieve specific goals. Each agent can make its own decisions, learn from experiences, and adapt to changes. These systems are often used in simulations, robotics, and artificial intelligence applications to solve complex problems that require collaboration, such as traffic management or resource allocation. By working together, agents can accomplish tasks more efficiently than a single agent could alone, leading to more effective solutions in dynamic and complex scenarios.