Updating Generative Models with Predictive Processing

Abstract

This 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.