Agent Based Modeling

Agent-based modeling (ABM) simulates complex systems by representing individual agents and their interactions, aiming to understand emergent collective behavior. Current research emphasizes developing scalable and efficient ABM frameworks, often leveraging high-performance computing and novel algorithms to handle large numbers of agents and intricate dynamics, including multiscale models that integrate different levels of biological organization. These advancements are improving the accessibility and applicability of ABMs across diverse fields, from simulating biological processes and urban planning to analyzing social networks and predicting transportation demand.