Bayesian Modeling of a Human MMORPG Player

Computer Science – Artificial Intelligence

Scientific paper

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

Scientific paper

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.

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