Agent-Based Modeling

Agent-based modeling (ABM) is a computational technique that creates artificial environments populated by autonomous agents that follow programmed rules and interact with each other and their environment. Each agent has individual characteristics decision-making capabilities and behaviors allowing the model to capture emergent phenomena that arise from these interactions. The approach incorporates principles of complexity theory distributed artificial intelligence and social science methodologies to create realistic simulations of complex adaptive systems.

Used in epidemiology for disease spread prediction urban planning for traffic flow analysis economics for market behavior simulation ecology for studying population dynamics and social science research for understanding collective behaviors.