1Interpreting Concept Learning in Cognitive Informatics and Granular Computing

Abstract—Cognitive informatics and granular computing are two emerging fields of study concerning information and knowl-edge processing. A central notion to this processing is information and knowledge granularity. Concepts, as the basic units of thought underlying human intelligence and communication, may play a fundamental role when integrating the results from the two fields in terms of information and knowledge coding, representation, communication, and processing. While cognitive informatics focuses on information processing in the abstract, in machines and in the brain, granular computing models such processing at multiple levels of granularity. In this paper, we examine a conceptual framework for concept learning from the viewpoints of cognitive informatics and granular computing. Within the framework, we interpret concept learning based on a layered model of knowledge discovery. Index Terms—Cognitive informatics, granular computing, con-cept formation, structured thinking, structured problem solving, structured information processing I