DocumentCode :
295993
Title :
Fuzzy logic and knowledge representation in a symbolic-subsymbolic architecture
Author :
Tang, Siong K. ; Dillon, Tharam S. ; Khosla, Rajiv
Author_Institution :
Dept. of Comput. Sci. & Comput. Eng., La Trobe Univ., Bundoora, Vic., Australia
Volume :
1
fYear :
1995
fDate :
Nov/Dec 1995
Firstpage :
349
Abstract :
In this paper, we show the relevance of fuzzy systems in an integrated symbolic and subsymbolic architecture for information processing. We also show how fuzzy logic can be used to represent knowledge in the integrated architecture. We end up with an integrated architecture of knowledge based, connectionist and fuzzy systems for information processing and knowledge modelling. The integrated information processing architecture assists the problem solver in determining the relevance of the three computational paradigms, and their strategy for integrating them in problem solving
Keywords :
fuzzy logic; fuzzy systems; knowledge based systems; knowledge representation; neural net architecture; problem solving; GENUES; fuzzy logic; fuzzy systems; generic neural expert system; information processing; knowledge based systems; knowledge modelling; knowledge representation; problem solving; symbolic-subsymbolic architecture; Artificial neural networks; Computer architecture; Fuzzy logic; Fuzzy systems; Humans; Information processing; Intelligent systems; Knowledge based systems; Knowledge representation; Problem-solving;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1995. Proceedings., IEEE International Conference on
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-2768-3
Type :
conf
DOI :
10.1109/ICNN.1995.488123
Filename :
488123
Link To Document :
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