Sensorimotor Experience

Sensorimotor experience research investigates how interactions between sensory input and motor actions shape perception, cognition, and behavior, aiming to understand how this grounding in physical experience underpins intelligence. Current research focuses on developing computational models, including neural networks and cellular automata, to simulate and analyze the emergence of sensorimotor agency, compositionality, and the grounding of language in physical interactions. These studies utilize techniques like predictive coding, active inference, and diversity search to explore how abstract knowledge and symbolic representations arise from sensorimotor data, with implications for artificial intelligence, robotics, and cognitive science.