Agent-Based Modeling for Complexity Science

Catalog description

Agent-based modeling is a core research method to study emergent phenomena in complex systems. Students learn the basics of agent-based modeling in Python3, explore canonical models and understand how this method is used to study complex systems. Especially examines the method for scientific research, including the various ways of analyzing and testing models on empirical data.