Track coordinators: Chick Macal, Argonne National Laboratory and Michael North, Argonne National Laboratory
Agent-based modeling and simulation is a relatively new approach to modeling complex adaptive systems comprised of autonomous, interacting agents. Applications are growing rapidly many fields including healthcare and infectious diseases, economics, traffic and transportation modeling, supply chains, and many more. Emergent behavior and self-organization are often exhibited by agent-based simulations.
The Agent-based Simulation track will include sessions on methods, theory, and applications of agent-based simulation. Also, of interest are ABS development toolkits and methods, practical aspects of ABS model development, and the relationship of ABS to other simulation and modeling approaches. Papers on ABS implementations and demonstrations of models with results are strongly encouraged.