Agent-based Modeling


Agent-based modeling (ABM) is a computational modeling technique used to simulate complex systems by representing individual agents and their interactions with each other and the environment. Each agent has its own set of rules and behaviors, and the model allows for emergent behavior to arise from the interactions between agents. ABM is particularly useful for studying systems that are difficult to observe or experiment on in the real world, such as social systems, ecological systems, and economic systems. ABM can also be used to test hypotheses and make predictions about how a system might behave under different conditions.


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