Teaching Bayesian Behaviours to Video Game Characters

Ronan Le Hy; Anthony Arrigoni; Pierre Bessiere; Olivier Lebeltel

inria-00182073, version 1

Teaching Bayesian Behaviours to Video Game Characters

Ronan Le Hy ¹, Anthony Arrigoni ¹, Pierre Bessiere () ¹, Olivier Lebeltel ¹

Robotics and Autonomous Systems 47 (2004) 177--185

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.

1: E-MOTION (IMAG-INRIA Rhône-Alpes / GRAVIR)
INRIA – Université Joseph Fourier - Grenoble I – Institut National Polytechnique de Grenoble (INPG)

inria-00182073, version 1
http://hal.inria.fr/inria-00182073
oai:hal.inria.fr:inria-00182073
From: Christian Laugier <>
Submitted on: Tuesday, 30 October 2007 16:28:57
Updated on: Monday, 14 January 2008 15:12:01

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