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
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;
Conference_Titel :
Intelligent Information Systems, 1996., Australian and New Zealand Conference on
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-3667-4
DOI :
10.1109/ANZIIS.1996.573944
