Agent-based simulation is a research area within computer science and social science that focuses on modeling complex systems using individual autonomous entities, or agents. These agents interact with each other and their environments based on predefined rules and behaviors, allowing researchers to study emergent phenomena that arise from the interactions of these agents. Agent-based simulation is commonly used in fields such as sociology, economics, biology, and ecology to study the behavior of complex systems that are difficult to model using traditional mathematical or analytical methods. Researchers can use agent-based simulation to test hypotheses, explore different scenarios, and analyze the impact of various factors on the overall system. Overall, agent-based simulation is a powerful tool for studying complex systems and gaining insights into how different factors interact and influence the behavior of these systems.