@misc{cogprints3744, volume = {47}, author = {R Le Hy and A Arrigoni and Dr P Bessiere and Dr O Lebeltel}, editor = {A Billard and Prof. R Siegwart}, title = {Teaching Bayesian Behaviours to Video Game Characters}, publisher = {Elsevier}, journal = {Robotics and Autonomous Systems (Elsevier) Special issue: Robot Learning from Demonstration}, pages = {177--185}, year = {2004}, keywords = {Bayesian programming; Video games characters; Finite state machine; Learning by imitation}, url = {http://cogprints.org/3744/}, abstract = {This article explores an application of Bayesian programming to behaviours for synthetic video games characters. We address the problem of real-time reactive selection of elementary behaviours for an agent playing a first person shooter game. We show how Bayesian programming can lead to condensed and easier formalisation of finite state machine-like behaviour selection, and lend itself to learning by imitation, in a fully transparent way for the player.} }