Cognitive Informatics

Cognitive Informatics

Yingxu Wang (University of Calgary, Canada)
Copyright: © 2008 |Pages: 8
DOI: 10.4018/978-1-59904-881-9.ch017
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Abstract

Cognitive informatics (CI) is an emerging discipline that studies the natural intelligence and internal information processing mechanisms of the brain, as well as the processes involved in perception and cognition. CI provides a coherent set of fundamental theories and contemporary mathematics that 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, and knowledge engineering.

Key Terms in this Chapter

Imperative Computing System: A passive system that implements deterministic, context-free, and stored-program controlled behaviors.

Conventional Computers: Conventional computers with VNA are aimed at stored-program-controlled data processing based on mathematical logic and Boolean algebra.

Cognitive Computers: Cognitive computers are aimed at cognitive and perceptive concept/knowledge processing based on contemporary denotational mathematics , that is, concept algebra, Real-Time Process Algebra (RTPA), and system algebra.

Cognitive Informatics: 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.

Informatics: The science of information that studies the nature of information, its processing, and ways of transformation between information, matter and energy.

Autonomic Computing System: An intelligent system that autonomously carries out robotic and interactive actions based on goal- and event-driven mechanisms.

Information-Matter-Energy (IME) Model: The natural world ( NW ), which forms the context of human cognitive activities and the natural intelligence, is a dual world: one aspect of it is the physical or the concrete world ( PW ); the other is the abstract or the perceptive world ( AW ), where matter ( M ) and energy ( E ) are used to model the former, and information ( I ) to the latter.

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