Truth Value Flow Inference in Hybrid KBS Constructed by KWS

Author

Ding, Liya ; Lo, Sio-Long

Author_Institution

Macau Univ. of Sci. & Technol., Taipa

fYear

2008

fDate

18-20 June 2008

Firstpage

311

Lastpage

311

Abstract

The Knowware System (KWS) has been proposed as an intelligent tool to support the development of knowledge-based system (KBS). It offers a set of intelligent components as basic processing units for the user to model and develop a customized hybrid intelligent system more easily and conveniently without the necessity of being familiar with AI techniques. The framework of hierarchical knowledge representation and inference has been defined for the knowledge based processing in KBS constructed by KWS. As a continued work, this article discusses the confidence transfer among different types of intelligent components by further extending the truth value flow inference.

Keywords

inference mechanisms; knowledge based systems; knowledge representation; KWS; Knowware System; confidence transfer; customized hybrid intelligent system; hierarchical knowledge inference; hierarchical knowledge representation; hybrid KBS; intelligent tool; knowledge-based system; truth value flow inference; Artificial intelligence; Hybrid intelligent systems; Inference algorithms; Intelligent structures; Knowledge based systems; Knowledge engineering; Knowledge representation; Mathematical model; Multiresolution analysis; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on

Conference_Location

Dalian, Liaoning

Print_ISBN

978-0-7695-3161-8

Electronic_ISBN

978-0-7695-3161-8

Type

conf

DOI

10.1109/ICICIC.2008.582

Filename

4603500