Title :
An acquisition method of implicit knowledge using fuzzy analogy
Author :
Inoue, Atsushi ; Tano, Shun´ichi ; Iwatani, Toshiharu ; Okamoto, Wataru ; Fujioka, Ryosuke
Author_Institution :
Lab. for Internat. Fuzzy Eng. Res., Kanagawa, Japan
Abstract :
A method to acquire implicit knowledge among several given cases using fuzzy analogy, called fuzzy analogical learning (FAL), is briefly described. This method is proposed as a learning feature in a natural language communication system, a fuzzy lingual system, which aims to emulate the observational features of human learning and problem solvings based on experiences. Cognitive models of learning and problem solvings for the further study of FAL and a prototype implementation for demonstrating the validity of the method are described as well as a formal description of the computational model
Keywords :
cognitive systems; computational linguistics; formal specification; fuzzy systems; knowledge acquisition; learning (artificial intelligence); problem solving; uncertainty handling; cognitive models; formal description; fuzzy analogical learning; fuzzy analogy; fuzzy lingual system; human learning emulation; implicit knowledge acquisition; natural language communication system; problem solvings; Communication systems; Computational modeling; Fuzzy reasoning; Fuzzy systems; Humans; Laboratories; Learning systems; Natural languages; Problem-solving; Prototypes;
Conference_Titel :
Fuzzy Systems, 1995. International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium., Proceedings of 1995 IEEE Int
Conference_Location :
Yokohama
Print_ISBN :
0-7803-2461-7
DOI :
10.1109/FUZZY.1995.409889
