creators_name: Le Hy, R
creators_name: Arrigoni, A
creators_name: Bessiere, P
creators_name: Lebeltel, O
editors_name: Billard, A
editors_name: Siegwart, R
type: journalp
datestamp: 2004-08-10
lastmod: 2011-03-11 08:55:39
metadata_visibility: show
title: Teaching Bayesian Behaviours to Video Game Characters
ispublished: pub
subjects: comp-sci-robot
full_text_status: public
keywords: Bayesian programming; Video games characters; Finite state machine; Learning by imitation
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.
date: 2004
date_type: published
publication: Robotics and Autonomous Systems (Elsevier) Special issue: Robot Learning from Demonstration
volume: 47
publisher: Elsevier
pagerange: 177-185
refereed: FALSE
citation:   Le Hy, R and Arrigoni, A and Bessiere, Dr P and Lebeltel, Dr O  (2004) Teaching Bayesian Behaviours to Video Game Characters.  [Journal (Paginated)]     
document_url: http://cogprints.org/3744/1/lehy04.pdf