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Please use this identifier to cite or link to this item: http://hdl.handle.net/2328/25832

Title: Commonsense knowledge representation and reasoning with fuzzy neural networks
Authors: Kouzani, Abbas
He, Fangpo
Sammut, Karl
Keywords: Common-sense reasoning
Fuzzy sets
Neural network applications
Knowledge representation
Issue Date: 1996
Publisher: Institute of Electrical and Electronics Engineers Computer Society (IEEE Publishing)
Citation: Kouzani, A., He, F. and Sammut, K. 1996. Commonsense knowledge representation and reasoning with fuzzy neural networks. 1996 Proceedings of the Australian and New Zealand Conference on Intelligent Information Systems, 237-240.
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.
URI: http://hdl.handle.net/2328/25832
ISSN: 0780336674
Appears in Collections:Computer Science, Engineering and Mathematics - Collected Works

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