Cognitive Informatics in Automatic Pattern Understanding

In the paper a new way of pattern interpretation directed for automatic semantic categorization and image content understanding will be described. Such an understanding will be based on the linguistic theories of pattern classification and is aimed at facilitation of merit content analysis of for some classes of medical and economical patterns. The approach presented in this paper will show the great possibilities of automatic diseases interpretation in some analysed structures, and supporting information management using the grammar approach. The interpretation will be based on cognitive resonance processes, which imitate the psychological processes of understanding the registered patterns as they take place in the brain of a human being.