Agent-Based Simulation

Agent-Based Simulation (ABS) is a modeling method that reproduces complex systems by simulating individual entities, called agents, each with their own behaviors and interactions. These agents can represent people, animals, organizations, or vehicles, and their actions influence the overall system. By observing how agents behave and interact over time, ABS helps us understand and predict emergent patterns and dynamics within real-world environments, such as traffic flow, market economies, or ecosystems. It's a powerful tool for exploring how simple rules at the individual level can lead to complex, system-wide phenomena.