Simulation And Modeling Questions Medium
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 that govern their actions and decision-making processes. These agents can be autonomous and have the ability to adapt and learn from their interactions with other agents and the environment. By simulating the behavior of multiple agents over time, agent-based modeling allows researchers to study emergent phenomena and understand how individual-level interactions contribute to the overall system dynamics. This modeling approach is particularly useful in studying social, biological, and economic systems where the behavior of individual entities plays a crucial role in shaping the system as a whole.