title: Teaching Bayesian Behaviours to Video Game Characters
creator: Le Hy, R
creator: Arrigoni, A
creator: Bessiere, Dr P
creator: Lebeltel, Dr O
subject: Robotics
description: 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.
publisher: Elsevier
contributor: Billard, A
contributor: Siegwart, Prof. R
date: 2004
type: Journal (Paginated)
type: NonPeerReviewed
format: application/pdf
identifier: http://cogprints.org/3744/1/lehy04.pdf
identifier:   Le Hy, R and Arrigoni, A and Bessiere, Dr P and Lebeltel, Dr O  (2004) Teaching Bayesian Behaviours to Video Game Characters.  [Journal (Paginated)]     
relation: http://cogprints.org/3744/