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