Research

I work in Genetic Algorithms, Evolutionary Computing and their applications to Artificial Intelligence, Machine Learning, and Optimization. My current work investigates adaptive AI for RTS-games, interaction design for controlling large numbers of heterogenous, semi-autonomous entities, and generating real-time micro for game and real-world agents. The Evolutionary Computing Systems Lab (ECSL), which I direct, has investigated new techniques for machine learning using Case-Injected Genetic AlgoRithms (CIGAR), new techniques for playing to learn to play computer games, and new techniques for evolving Real-Time Strategy (RTS) game micro and macro .

We will now learn much more about artificial intelligence from developing computer-game players than we did from developing chess players. If you are a graduate student or want to be one, I am looking for graduate students interested in evolving Game AI for RTS games. Send email.

Learn More

I got my Ph.d. from the Department of Computer Science at Indiana University, Bloomington in 1993. My thesis advisor was Greg Rawlins. Others on my committee were Doug Hofstadter, Chris Haynes, and Esther Thelene.