Agent-Based Models (ABMs) are computational models used to simulate the actions and interactions of autonomous agents in order to assess their effects on the system as a whole. In the context of epidemiology, these agents can represent individuals, groups, or even populations, and their interactions can help in understanding the spread of infectious diseases.