How generative models are created in Predictive Processing

Abstract

The 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.