#Metacognitive Learning

A concept contrasted with 'metaphysical learning'. It refers to the process, primarily observed in machine learning, of acquiring patterns and concepts through large amounts of data and iterative trials. This is learning based on trial and error and experience, equivalent to fundamental skill acquisition in humans and model training in AI. From a philosophical perspective, it considers the nature and limits of knowledge brought about by this repetition.