Bayesian Imitation of Human Behavior in Interactive Computer Games

B. Gorman, C. Thurau, C. Bauckhage, M. Humphrys
2006 18th International Conference on Pattern Recognition (ICPR'06)  
Modern interactive computer games provide the ability to objectively record complex human behavior, offering a variety of interesting challenges to the pattern-recognition community. Such recordings often represent a multiplexing of long-term strategy, mid-term tactics and short-term reactions, in addition to the more low-level details of the player's movements. In this paper, we describe our work in the field of imitation learning; more specifically, we present a mature, Bayesian-based
more » ... to the extraction of both the strategic behavior and movement patterns of a human player, and their use in realizing a cloned artificial agent. We then describe a set of experiments demonstrating the effectiveness of our model.
doi:10.1109/icpr.2006.317 dblp:conf/icpr/GormanTBH06 fatcat:v7xwuhrf4fhupgbl5xv3wgkrky