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

Volume

3

fYear

1995

fDate

20-24 Mar 1995

Firstpage

1581

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/FUZZY.1995.409889

Filename

409889