Multiagent Systems
As autonomous agents proliferate in the real world, it becomes increasingly important to consider their interactions. Distinct agents may be teammates, opponents, or have unrelated goals. Game theory is a powerful tool for considering relatively small-scale interactions. Different tools are needed for more complex systems.
Accelerating Evolution via Egalitarian Social Learning Wesley Tansey, Eliana Feasley, and Risto Miikkulainen In Proceedings of the 14th Annual Genetic and Evolutionary Computation Conference (GECCO 2012) 2012

Evolving Multimodal Networks for Multitask Games Jacob Schrum and Risto Miikkulainen In Proceedings of the IEEE Conference on Computational Intelligence and Games (CIG 2011), 102... 2011

Evolving Multi-modal Behavior in NPCs Jacob Schrum and Risto Miikkulainen In IEEE Symposium on Computational Intelligence and Games (CIG 2009), 325--332, Milan, Italy,... 2009

Constructing Complex NPC Behavior via Multi-Objective Neuroevolution Jacob Schrum and Risto Miikkulainen In Proceedings of the Fourth Artificial Intelligence and Interactive Digital Entertainment Confer... 2008

Erkin Bahceci Ph.D. Alumni erkin [at] cs utexas edu
Jacob Schrum Ph.D. Alumni schrum2 [at] southwestern edu