DocumentCode :
3392058
Title :
Granular Computing based cognitive computing
Author :
Wang, Guoyin ; Zhang, Qinghua
Author_Institution :
Inst. of Comput. Sci. & Technol., Chongqing Univ. of Posts & Telecommun., Chongqing, China
fYear :
2009
fDate :
15-17 June 2009
Firstpage :
155
Lastpage :
161
Abstract :
Human cognition is a very complicated process. Granular Computing (GrC) is a kind of new idea and new method in the artificial intelligence field to simulate the human problem solving in cognition process. In this paper, several typical cognition models are reviewed at first. A new cognition model based on the methodology of GrC, that is, the image cognition model based on GrC, is discussed then. The key problems of the image cognition model based on the GrC are analyzed. These results may contribute to the development of cognition theory.
Keywords :
cognition; image processing; ontologies (artificial intelligence); cognitive computing; granular computing; image cognition model; image processing; ontology; Artificial intelligence; Cognition; Cognitive science; Computational modeling; Humans; Information processing; Intelligent sensors; Machine intelligence; Problem-solving; Psychology; Cognitive Science; Granular Computing (GrC); Image Processing; Ontology; Psychology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cognitive Informatics, 2009. ICCI '09. 8th IEEE International Conference on
Conference_Location :
Kowloon, Hong Kong
Print_ISBN :
978-1-4244-4642-1
Type :
conf
DOI :
10.1109/COGINF.2009.5250774
Filename :
5250774
Link To Document :
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