Game Theory
Game theory is an elegant abstraction of multiagent interaction that can apply to both adversarial and cooperative settings (or any degree of goal alignment in between). Computer science brings the perspective of characterizing the computational complexity of finding various types of equilibria or other high-utility behavior.
Tsz-Chiu Au Postdoctoral Alumni chiu [at] cs utexas edu
Elad Liebman Ph.D. Student eladlieb [at] cs utexas edu
Peter Stone Faculty pstone [at] cs utexas edu
Modeling Uncertainty in Leading Ad Hoc Teams 2014
Noa Agmon, Samuel Barrett, and Peter Stone, In Proc. of 13th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS), May 2014.
Leading a Best-Response Teammate in an Ad Hoc Team 2009
Peter Stone, Gal A. Kaminka, and Jeffrey S. Rosenschein, In {AAMAS} Workshop on Agent Mediated Electronic Commerce, pp. 153-167, May 2009.
A Polynomial-time Nash Equilibrium Algorithm for Repeated Games 2005
Michael L. Littman and Peter Stone, Decision Support Systems, Vol. 39 (2005), pp. 55-66.
Implicit Negotiation in Repeated Games 2001
Michael L. Littman and Peter Stone, In Proceedings of The Eighth International Workshop on Agent Theories, Architectures, and Languages (ATAL-2001), pp. 393-404, August 2001.