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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Veröffentlicht in:IEEE transactions on systems, man and cybernetics. Part B, Cybernetics Jg. 39; H. 4; S. 855 - 866
1. Verfasser: Yao, Yiyu
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States IEEE 01.08.2009
Schlagworte:
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
Online-Zugang:Volltext
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Abstract 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.
AbstractList 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.
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.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.
Author Yiyu Yao
Author_xml – sequence: 1
  givenname: Yiyu
  surname: Yao
  fullname: Yao, Yiyu
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  organization: Department of Computer Science, University of Regina, Regina, SK S4S 0A2, Canada. yyao@cs.uregina.ca
BackLink https://www.ncbi.nlm.nih.gov/pubmed/19342352$$D View this record in MEDLINE/PubMed
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Snippet Cognitive informatics and granular computing are two emerging fields of study concerning information and knowledge processing. A central notion to this...
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SubjectTerms 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
Title Interpreting Concept Learning in Cognitive Informatics and Granular Computing
URI https://ieeexplore.ieee.org/document/4808252
https://www.ncbi.nlm.nih.gov/pubmed/19342352
https://www.proquest.com/docview/67297670
https://www.proquest.com/docview/869846376
Volume 39
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