DocumentCode
2812574
Title
Commonsense knowledge representation and reasoning with fuzzy neural networks
Author
Kouzani, A.Z. ; He, F. ; Sammut, K.
Author_Institution
Sch. of Eng., Flinders Univ. of South Australia, Adelaide, SA, Australia
fYear
1996
fDate
18-20 Nov 1996
Firstpage
237
Lastpage
240
Abstract
This paper highlights the theory of common-sense knowledge in terms of representation and reasoning. A connectionist model is proposed for common-sense knowledge representation and reasoning. A generic fuzzy neuron is employed as a basic element for the connectionist model. The representation and reasoning ability of the model is described through examples
Keywords
common-sense reasoning; fuzzy neural nets; knowledge representation; common-sense knowledge representation; common-sense reasoning; connectionist model; fuzzy neural networks; Australia; Fuzzy logic; Fuzzy neural networks; Helium; Humans; Knowledge based systems; Knowledge engineering; Knowledge representation; Neurons; System testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Information Systems, 1996., Australian and New Zealand Conference on
Conference_Location
Adelaide, SA
Print_ISBN
0-7803-3667-4
Type
conf
DOI
10.1109/ANZIIS.1996.573944
Filename
573944
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