Intelligent Monsters: Downfall of the Gamer: Making game AI more interesting with predictive processing

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dc.contributor.advisorKwisthout, J.H.P.
dc.contributor.advisorOtworowska, M.E.
dc.contributor.authorBannink, W.R.J.
dc.date.issued2016-08-30
dc.description.abstractDue to the lack of recent development in game AI, new ideas may very well reinvigorate research and development in this area. This study aims to do exactly that with predictive processing. The predictive processing account proposes that the human brain attempts to predict future states, and that it subsequently tries to minimize the error of these predictions. The aims of this study to create a game AI using predictive processing to predict player moves in a grid-based world. As this study was meant to be explorative, an informal pilot was carried out, as opposed to a formal experiment. Five participants would play the game under observance, and provide feedback when done. Multiple rounds were played against an AI utilizing predictive processing, as well as against a simple AI that simply chased the player. Feedback and impressions from the gameplay suggest that the participants preferred the predictive AI above the simple AI.en_US
dc.identifier.urihttp://theses.ubn.ru.nl/handle/123456789/4364
dc.language.isoenen_US
dc.thesis.facultyFaculteit der Sociale Wetenschappenen_US
dc.thesis.specialisationBachelor Artificial Intelligenceen_US
dc.thesis.studyprogrammeArtificial Intelligenceen_US
dc.thesis.typeBacheloren_US
dc.titleIntelligent Monsters: Downfall of the Gamer: Making game AI more interesting with predictive processingen_US
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