Sciweavers

Share
ICPR
2006
IEEE

Bayesian Imitation of Human Behavior in Interactive Computer Games

9 years 4 months ago
Bayesian Imitation of Human Behavior in Interactive Computer Games
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 approach 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. 1 Motivation and Related Work Interactive computer games, with their increasingly complex virtual worlds and ability to record the actions of humans within them, present interesting opportunities to the pattern-recognition community [7]. So far, the AI systems empl...
Bernard Gorman, Christian Bauckhage, Christian Thu
Added 09 Nov 2009
Updated 09 Nov 2009
Type Conference
Year 2006
Where ICPR
Authors Bernard Gorman, Christian Bauckhage, Christian Thurau, Mark Humphrys
Comments (0)
books