Updating Generative Models with Predictive Processing

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dc.contributor.advisorKwisthout, Johan
dc.contributor.advisorOtworowska, Maria
dc.contributor.authorHerden, Sven
dc.date.issued2017-01-30
dc.description.abstractThis research focuses on the development and updating of generative models using predictive processing. It looks at the foundation of prediction errors in humans. It proposes three strategies that can be used to formulate new generative models to recreate the U curve principle. These are tested in a robot simulation experiment. Then the three strategies are compared in the sense of speed, efficiency and practical feasibility.en_US
dc.embargo.lift10000-01-01
dc.embargo.typePermanent embargoen_US
dc.identifier.urihttps://theses.ubn.ru.nl/handle/123456789/10794
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.titleUpdating Generative Models with Predictive Processingen_US
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