Agent-Based Modelling

Agent-Based Modeling (ABM) is a computational method used to simulate the interactions of individual "agents" within a system. These agents can represent people, animals, organizations, or any entities that act independently based on set rules. By observing how these agents interact, researchers can explore complex phenomena, such as economic trends, social behaviors, or environmental changes. ABM helps in understanding how local interactions lead to broader patterns, allowing scientists and policymakers to analyze potential outcomes and devise better strategies for real-world issues.