How generative models are created in Predictive Processing

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dc.contributor.advisorKwisthout, J.H.P.
dc.contributor.advisorOtworowska, M.E.
dc.contributor.authorBorg, M.M.C. ter
dc.date.issued2017-05-11
dc.description.abstractThe predictive processing account uses generative models to get prediction errors. How these generative models are developed is still unclear. This research focuses on how generative models possibly are generated in predictive processing. We give a theory how a first very simple generative model could be generated and then test this theory using a Lego NXT robot. After this we discuss our results and conclude with recommendations to further study this theory.en_US
dc.identifier.urihttp://theses.ubn.ru.nl/handle/123456789/4377
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.titleHow generative models are created in Predictive Processingen_US
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