Believability Testing and Bayesian Imitation in Interactive Computer Games
Bernard Gorman, Christian Thurau, Christian Bauckhage and Mark Humphrys
Simulation of Adaptive Behavior 2006 (SAB 2006)
Rome, Italy, 25-29 September 2006
Summary
In imitation learning agents are trained to carry out certain actions by examining a demonstration of the task at hand. Though common in robotics, little work has been done in translating these concepts to computer games.Given that present-day games utilize AI techniques which often lead to stilted, mechanical and conspicuously artificial behaviour, it seems likely that approaches based on the imitation of human players may produce agents which convey a more humanlike impression. At the same time, there exists no formal method of quantifying what constitutes a `humanlike' impression. Therefore, an equivalent of the Turing test is needed where an agent's appearance and behaviour may deceive an observer into misidentifying it as human. The aims of this paper are thus threefold; we describe an approach to the imitation of strategic behaviour and motion, propose a formal method of quantifying the degree to which different agents are perceived as `humanlike', and present the results of a series ofexperiments using these two systems.