As demonstrated by Torrens et al. [9], the individual behavior in an agent-based model can be machine-learned from samples collected at the individual-agent level. In addition, modern ABM techniques can help in analysis through their ability to have adaptive agents in different changing environments [10]. The machine- learning-based inference model can thus provide an alterna- tive to coarse models of agents and can extend traditional agent-based transition schemes that hardcode agents’ behavior rules into a model—apriori