ABM Tutorial

Agent-based models (ABMs) are simulation models that have been used to study complex systems in a wide range of academic fields including Biology, Computer Science, Environmental Science, Economics, Geography, Planning, and Sociology among others. Agent-based models directly represent individual actors (agents, such as animals and plants in ecosystems, residents in cities, and cars in transportation networks), and simulate the interactions among agents and their environments, and the macroscopic patterns that emerge (patterns such as ecosystem structure, urban sprawl, and transport network congestion).

If you are interested in ABM models and want to learn how to develop your own model, please join us for a free series of ABM tutorials over the summer.

More details available here.