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.Comment: 30th international workshop on Bayesian Inference and Maximum
  Entropy, Chamonix : France (2010

Bessiere, Pierre

Synnaeve, Gabriel

English

arXiv

International audienceThis 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.Ce papier décrit l'application de la programmation bayésienne au problème du contrôle autonome d'un avatar dans un jeu de rôle massivement multi-joueur (l'exemple est basé sur World of Warcraft). Nous modélisons une tâche particulière, qui est de choisir la cible et l'action dans une situation de combat, avec alliés et ennemis. Nous expliquons le modèle en programmation bayésienne et montrons comme nous pourrions apprendre ses paramètres d'après les données que fournissent une session jouée par un humain

Bayesian Modeling of a Human MMORPG Player

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Hal - Université Grenoble Alpes