Identification and Characteristic Descriptions of Procedural Chunks

When dealing with cognitive architecture and behavior, chunks are one of the most well known and accepted constructs. Despite that, the nature of chunks still remains very elusive, especially with understanding chunks in procedural knowledge. Our attempt is to show the existence of chunks in procedural knowledge, define them, and describe their characteristics. With this purpose in mind, we use data mining techniques. We chose the game of chess as an experimental domain, due to its complexity, well defined rules, and a standardized measure of chess-players´ knowledge. Results could contribute to the understanding of human information processing and cognitive architecture. They could be beneficial for tutoring and student modeling, and may serve as a framework for knowledge-based driven AI agents.