Bayesian Modeling of a Human MMORPG Player

Abstract : 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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https://hal.inria.fr/inria-00538744
Contributor : Gabriel Synnaeve <>
Submitted on : Tuesday, November 23, 2010 - 11:36:12 AM
Last modification on : Thursday, October 11, 2018 - 8:48:02 AM
Long-term archiving on : Thursday, February 24, 2011 - 3:01:20 AM

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  • HAL Id : inria-00538744, version 1
  • ARXIV : 1011.5480

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Gabriel Synnaeve, Pierre Bessiere. Bayesian Modeling of a Human MMORPG Player. 30th international workshop on Bayesian Inference and Maximum Entropy, Jul 2010, Chamonix, France. ⟨inria-00538744⟩

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