Bayesian Modeling of a Human MMORPG Player
Gabriel Synnaeve, Pierre Bessìère, Ali Mohammad‐Djafari, Jean‐François Bercher, Pierre Bessìère · AIP conference proceedings · 2011
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.