Cognitive Informatics in Automatic Pattern Understanding and Cognitive Information Systems

This chapter describes a new way of pattern interpretation aimed at the automatic semantic categorization and image content understanding. Such an understanding is based on the linguistic theories of pattern classification and is aimed at facilitating the content analysis of some classes of medical and economical patterns. The approach presented in this chapter shows great opportunities for the automatic disease interpretation in some analyzed structures, and for supporting information management using the grammar approach. The interpretation is based on cognitive resonance processes which imitate the psychological processes of understanding registered patterns which take place in the brain of a human beings. Cognitive and thinking processes taking place in the human brain have become the basis for defining classes of cognitive categorization systems designed for the in-depth, meaning-based interpretation and analysis of data. This type of an analysis is only possible thanks to applying interpretation and reasoning processes usually taking place in the human brain in a system. In addition, this type of an analysis is made possible by the use of linguistic algorithms for describing, analyzing and interpreting data in computer systems. Algorithms of this type support a meaning-based analysis of data which leads to understanding the semantic content of the analyzed data and to attempts at making forecasts with regard to the analyzed information.

[1]  Yingxu Wang,et al.  The Theoretical Framework of Cognitive Informatics , 2007, Int. J. Cogn. Informatics Nat. Intell..

[2]  M. Minsky.  The Society of Mind , 1986 .

[3]  Eiichi Tanaka,et al.  Theoretical aspects of syntactic pattern recognition , 1995, Pattern Recognit..

[4]  Mariusz Flasiński.  Review of Medical image understanding technology - artificial intelligence and soft-computing for image understanding by Ryszard Tadeusiewicz, Marek R. Ogiela, Springer Verlag 2004 , 2004 .

[5]  Jane P. Laudon,et al.  Management Information Systems: Managing the Digital Firm , 2010 .

[6]  David G. Stork,et al.  Pattern Classification (2nd ed.) , 1999 .

[7]  Lidia Ogiela,et al.  UBIAS systems for cognitive interpretation and analysis of medical images , 2009 .

[8]  Noam Chomsky,et al.  Language and problems of knowledge : the Managua lectures , 1990 .

[9]  Henri Cohen,et al.  Handbook of categorization in cognitive science , 2005 .

[10]  Noam Chomsky.  Language and Problems of Knowledge , 1987 .

[11]  Lotfi A. Zadeh,et al.  Toward Human Level Machine Intelligence - Is It Achievable? The Need for a Paradigm Shift , 2008, IEEE Computational Intelligence Magazine.

[12]  Marek R. Ogiela,et al.  The automatic understanding approach to systems analysis and design , 2008, Int. J. Inf. Manag..

[13]  Lidia Ogiela,et al.  Modern Methods for the Cognitive Analysis of Economic Data and Text Documents and their Application in Enterprise Management , 2008, 2008 7th Computer Information Systems and Industrial Management Applications.

[14]  Leszek Rutkowski,et al.  New Soft Computing Techniques for System Modeling, Pattern Classification and Image Processing , 2004 .

[15]  Shusaku Tsumoto,et al.  Foundations of Intelligent Systems, 15th International Symposium, ISMIS 2005, Saratoga Springs, NY, USA, May 25-28, 2005, Proceedings , 2005, ISMIS.

[16]  J. Kihlstrom.  The cognitive unconscious. , 1987, Science.

[17]  Thomas F. Lee.  Disease, Diagnosis, and Therapy , 1991 .

[18]  David G. Stork,et al.  Pattern Classification , 1973 .

[19]  R. Lazarus.  Emotion and Adaptation , 1991 .

[20]  Shimon Edelman,et al.  Representation and recognition in vision , 1999 .

[21]  Robert A. Wilson,et al.  Book Reviews: The MIT Encyclopedia of the Cognitive Sciences , 2000, CL.

[22]  Lidia Ogiela.  UBMSS (Understanding Based Managing Support Systems) as an Example of the Application of Cognitive Analysis in Data Analysis , 2007, 6th International Conference on Computer Information Systems and Industrial Management Applications (CISIM'07).

[23]  Kayvan Najarian,et al.  Biomedical Signal and Image Processing , 2005 .

[24]  Jasjit S. Suri,et al.  Handbook of Biomedical Image Analysis , 2005 .

[25]  Marek R. Ogiela,et al.  Cognitive Informatics in Automatic Pattern Understanding , 2007, 6th IEEE International Conference on Cognitive Informatics.

[26]  João Branquinho.  The foundations of cognitive science , 2001 .

[27]  J. Fodor.  The Modularity of mind. An essay on faculty psychology , 1986 .

[28]  Jacek M. Zurada,et al.  Artificial Intelligence and Soft Computing - ICAISC 2008, 9th International Conference, Zakopane, Poland, June 22-26, 2008, Proceedings , 2008, ICAISC.

[29]  Mark H. Bickhard,et al.  Foundational issues in artificial intelligence and cognitive science - impasse and solution , 1995, Advances in psychology.

[30]  Marek R. Ogiela,et al.  A New Approach to the Computer Support of Strategic Decision Making in Enterprises by Means of a New Class of Understanding Based Management Support Systems , 2007, 6th International Conference on Computer Information Systems and Industrial Management Applications (CISIM'07).

[31]  J. Gabrieli.  Cognitive neuroscience of human memory. , 1998, Annual review of psychology.

[32]  Jerome Kagan,et al.  Unstable Ideas: Temperament, Cognition, and Self , 1989 .

[33]  Leszek Rutkowski,et al.  Computational intelligence - methods and techniques , 2008 .

[34]  Marek R. Ogiela,et al.  Image languages in intelligent radiological palm diagnostics , 2006, Pattern Recognit..

[35]  Marek R. Ogiela,et al.  Cognitive techniques in medical information systems , 2008, Comput. Biol. Medicine.

[36]  Janusz Kacprzyk,et al.  Advances in Web Intelligence , 2003, Lecture Notes in Computer Science.

[37]  Marek R. Ogiela,et al.  Cognitive Techniques in Visual Data Interpretation , 2009, Studies in Computational Intelligence.

[38]  Yingxu Wang,et al.  Editorial Recent Advances in Cognitive Informatics , 2006, IEEE Trans. Syst. Man Cybern. Syst..

[39]  Yingxu Wang,et al.  Deductive Semantics of RTPA , 2008, Int. J. Cogn. Informatics Nat. Intell..

[40]  Alain Villemeur,et al.  Methods and techniques , 1992 .

[41]  Yingxu Wang.  On Cognitive Informatics , 2003 .

[42]  Alexander M. Meystel,et al.  Intelligent Systems: Architecture, Design, and Control , 2000 .

[43]  Ryszard Tadeusiewicz,et al.  Artificial Intelligence and Soft Computing - ICAISC 2006, 8th International Conference, Zakopane, Poland, June 25-29, 2006, Proceedings , 2006, International Conference on Artificial Intelligence and Soft Computing.

[44]  M. Gabriel Khan,et al.  Heart Disease Diagnosis and Therapy , 2005 .

[45]  Yingxu Wang,et al.  The Cognitive Processes of Formal Inferences , 2007, Int. J. Cogn. Informatics Nat. Intell..

[46]  Lidia Ogiela,et al.  Selected Cognitive Categorization Systems , 2008, ICAISC.

[47]  James S. Albus,et al.  Engineering of Mind: An Introduction to the Science of Intelligent Systems , 2001 .

[48]  A. Newell.  Unified Theories of Cognition , 1990 .

[49]  Marek R. Ogiela,et al.  Cognitive Analysis Techniques in Business Planning and Decision Support Systems , 2006, ICAISC.

[50]  Marek R. Ogiela,et al.  Artificial Intelligence Techniques in Retrieval of Visual Data Semantic Information , 2003, AWIC.

[51]  Ryszard Tadeusiewicz,et al.  Shape understanding: knowledge generation and learning , 2001, The Seventh Australian and New Zealand Intelligent Information Systems Conference, 2001.

[52]  Marek R. Ogiela,et al.  Medical Image Understanding Technology - Artificial Intelligence and Soft-Computing for Image Understanding , 2004, Studies in Fuzziness and Soft Computing.