NDLI: Cognitive Informatics: Towards Future Generation Computers that Think and Feel

Content Provider	IEEE Xplore Digital Library
Author	Yingxu Wang
Copyright Year	2006
Description	Author affiliation: Schulich Schools of Eng., Calgary Univ., Alta. (Yingxu Wang)
Abstract	This keynote lecture presents a set of the latest advances in cognitive informatics (CI) that leads to the design and implementation of future generation computers known as the cognitive computers that are capable of thinking and feeling. The theory and philosophy behind the next generation computers and computing technologies are CI. The theoretical framework of CI may be classified as an entire set of cognitive functions and processes of the brain and an enriched set of descriptive mathematics, the cognitive computers are created for cognitive and perceptible concept/knowledge processing based on contemporary mathematics such as concept algebra, real-time process algebra, and system algebra. Because the cognitive computers implement the fundamental cognitive processes of the natural intelligence such as the learning, thinking, formal inference, and perception processes, they are novel information processing systems that think and feel. The cognitive computers are centered by the parallel inference engine and perception engine that implement autonomic learning/reasoning and perception mechanisms based on descriptive mathematics
Starting Page	3
Ending Page	7
File Size	2428723
Page Count	5
File Format	PDF
ISBN	1424404754
DOI	10.1109/COGINF.2006.365666
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-07-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cognitive informatics Algebra Intelligent robots Mathematics Brain modeling Humans Information processing Machine intelligence Design engineering Computers neural informatics descriptive mathematics computer architectures autonomic computing agent systems cognitive models cognitive processes natural intelligence
Content Type	Text
Resource Type	Article

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