A Doctrine of Cognitive Informatics (CI)

Issue title: Cognitive Informatics, Cognitive Computing, and Their Denotational Mathematical Foundations (I)

Article type: Research Article

Authors: Wang, Yingxu | Kinsner, Witold | Anderson, James A. | Zhang, Du | Yao, Yiyu | Sheu, Philip | Tsai, Jeffrey | Pedrycz, Witold | Latombe, Jean-Claude | Zadeh, Lotfi A. | Patel, Dilip | Chan, Christine

Affiliations: University of Calgary, Canada, [email protected] | University of Manitoba, Canada | Brown University, USA | California State University, Sacramento, USA | University of Regina, Canada | University of California, Irvine, USA | University of Illinois, Chicago, USA | University of Alberta, Canada | Stanford University, USA | University of California, Berkeley, USA | London South Bank University, UK | University of Regina, Canada

Note: [] Address for correspondence: Dept. of Electrical and Computer Engineering, Schulich School of Engineering University of Calgary, 2500 University Drive, NW, Calgary, Canada T2N 1N4

Abstract: Cognitive informatics (CI) is the transdisciplinary enquiry of cognitive and information sciences that investigates into the internal information processing mechanisms and processes of the brain and natural intelligence, and their engineering applications via an interdisciplinary approach. CI develops a coherent set of fundamental theories and denotational mathematics, which form the foundation for most information and knowledge based science and engineering disciplines such as computer science, cognitive science, neuropsychology, systems science, cybernetics, software engineering, knowledge engineering, and computational intelligence. This paper reviews the central doctrine of CI and its applications. The theoretical framework of CI is described on the architecture of CI and its denotational mathematic means. A set of theories and formal models of CI is presented in order to explore the natural and computational intelligence. A wide range of applications of CI are described in the areas of cognitive computers, cognitive properties of knowledge, simulations of human cognitive behaviors, cognitive complexity of software, autonomous agent systems, and computational intelligence.

Keywords: Cognitive informatics, natural intelligence, brain and mind, cognitive psychology, cognitive computing, software engineering, knowledge engineering, artificial intelligence, neural informatics, abstract intelligence, cognitive science, denotational mathematics, cognitive computing, cybernetics, computational intelligence, autonomous agent systems

DOI: 10.3233/FI-2009-0015

Journal: Fundamenta Informaticae, vol. 90, no. 3, pp. 203-228, 2009