Multi-Agent Simulation

Multi-Agent Simulation is a computerized approach that models the actions and interactions of multiple autonomous entities, called agents, within a shared environment. Each agent operates based on rules or goals, and their combined behaviors help researchers study complex systems—such as traffic flow, markets, or social dynamics. By simulating how individual agents respond and adapt, this method provides insights into emergent patterns and outcomes that are difficult to predict through simple analysis, making it a valuable tool for understanding and optimizing real-world systems.