Teaching Bayesian Behaviours to Video Game Characters

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

1 E-MOTION - Geometry and Probability for Motion and Action

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.

Domaines: Autre [cs.OH]

Ronan Le Hy, Anthony Arrigoni, Pierre Bessiere, Olivier Lebeltel. Teaching Bayesian Behaviours to Video Game Characters. Robotics and Autonomous Systems, 2004, 47, 47, pp.177--185. ⟨inria-00182073⟩