Integrating BDI reasoning into agent based modeling and simulation

Agent Based modeling (ABM) platforms such as Repast and its predecessors are popular for developing simulations to understand complex phenomenon and interactions. Such simulations are increasingly used as support tools for policy and planning. This work takes a Belief Desire Intention (BDI) agent platform and embeds it into Repast, to support more powerful modeling of human behavior. We describe the issues faced in integrating the two paradigms, and how we addressed these issues to leverage the relevant advantages of the two approaches for real world applications.