Simulation And Modeling Questions
Agent-based modeling is a computational modeling technique used to simulate complex systems by representing individual entities, known as agents, and their interactions within a given environment. Each agent is programmed with a set of rules and behaviors, allowing them to autonomously make decisions and interact with other agents based on their local information and the environment. These interactions can lead to emergent behavior, where the collective behavior of the agents produces patterns or outcomes that cannot be predicted by analyzing individual agents in isolation. Agent-based modeling is particularly useful for studying systems with a large number of interacting components, such as social networks, ecological systems, and traffic flow.