This paper describes an application of Bayesian programming to the control of an autonomous avatar in a multiplayer role-playing game (the example is based on World of Warcraft). We model a particular task, which consists of choosing what to do and to select which target in a situation where allies and foes are present. We explain the model in Bayesian programming and show how we could learn the conditional probabilities from data gathered during human-played sessions.
@article{arxiv.1011.5480,
title = {Bayesian Modeling of a Human MMORPG Player},
author = {Gabriel Synnaeve and Pierre Bessiere},
journal= {arXiv preprint arXiv:1011.5480},
year = {2015}
}
Comments
30th international workshop on Bayesian Inference and Maximum Entropy, Chamonix : France (2010)