He has been using a discrete state strategy game to study intelligent agents since 2003, addressing such problems as in situ divisions of labor, policy induction from examples, and visibly intelligent (as opposed to strictly optimal) behavior. He is now the chair for a task force on RTSGs for the IEEE Computational Intelligence Society's Games Technical Committee, and directs the Neuroevolution and Behavior Laboratory at UNR. His homepage can be found at: http://www.cse.unr.edu/~bdbryant/.