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@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.}
}