What is agent-based modeling?

Agent-based modeling (ABM) is a computational modeling approach where a system is simulated as a collection of autonomous decision-making entities called agents. Each agent individually assesses its situation and makes decisions based on a set of rules. These micro-level interactions lead to macro-level patterns. ABM is commonly used to simulate complex systems in various fields, including ecology, economics, social science, and epidemiology, to understand emergent behavior and predict outcomes.