Connection Hypothesis between Artificial Intelligence, Embodied Cognition and Body Percussion

This work explores the hypothesis of a connection between Artificial Intelligence (AI), Embodied Cognition and Body Percussion. The fundamental premise is that traditional machine learning methods in AI differ greatly from the ways humans learn. Embodied Cognition emphasizes the essential role of the physical body and its interactions with the environment in the learning process. This revolutionary perspective contradicts traditional cognitive theories that isolate the mind as an information processor far from the body. In this context, the hypothesis is considered that intelligent agents, including virtual robots, should learn in a similar way to humans, actively interacting with the environment and their body. Body Percussion, a musical-motor activity that involves the human body in the creation of rhythms and sounds, emerges as a bridge between Embodied Cognition and AI. This work suggests that the practice of Body Percussion can be an innovative method to develop cognitive and motor skills and promote inclusion in education. It also stresses the importance of considering the body and the environment as key components in designing more advanced AI systems. This study provides food for thought for further research and practical applications in education and robotics.