Agent-Based Modeling (ABM) is a powerful technique for simulating real-world systems, including organizations, transportation networks, supply chains, financial markets, war-zones, and ecological environments. These models are populated with artificial agents designed to replicate the behavior of real-world actors such as customers, traders, vehicles, aircrafts, militias, and Agentic AIs.

This workshop will teach you how to build, calibrate, and deploy large-scale agent-based models to solve real-world problems. The workshop is open to participants from industry and academia. Proficiency in programming with Python, C++, Java, or another general-purpose programming language is a prerequisite.

To know more about agent-based modeling, see the following article in the Harvard Business Review https://hbr.org/2002/03/predicting-the-unpredictable