Interpreting Concept Learning in Cognitive Informatics and Granular Computing

Cognitive informatics and granular computing are two emerging fields of study concerning information and knowledge processing. A central notion to this processing is information and knowledge granularity. Concepts, as the basic units of thought underlying human intelligence and communication, may pl...

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Vydáno v:IEEE transactions on systems, man and cybernetics. Part B, Cybernetics Ročník 39; číslo 4; s. 855 - 866
Hlavní autor: Yao, Yiyu
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States IEEE 01.08.2009
Témata:
Algebra
Algorithms
Artificial Intelligence
Automatic Data Processing
Brain - physiology
Brain modeling
Cognitive informatics
Cognitive science
Communication
Computer science
concept formation
Concrete
granular computing
Humans
Informatics
Information processing
Intelligence
Machine intelligence
Mental Processes
Models, Neurological
Problem Solving
structured information processing
structured problem solving
structured thinking
ISSN:1083-4419, 1941-0492, 1941-0492
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Shrnutí:Cognitive informatics and granular computing are two emerging fields of study concerning information and knowledge processing. A central notion to this processing is information and knowledge granularity. Concepts, as the basic units of thought underlying human intelligence and communication, may play a fundamental role when integrating the results from the two fields in terms of information and knowledge coding, representation, communication, and processing. While cognitive informatics focuses on information processing in the abstract, in machines, and in the brain, granular computing models such processing at multiple levels of granularity. In this paper, we examine a conceptual framework for concept learning from the viewpoints of cognitive informatics and granular computing. Within the framework, we interpret concept learning based on a layered model of knowledge discovery.
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ISSN:1083-4419
1941-0492
1941-0492
DOI:10.1109/TSMCB.2009.2013334