Inference in Knowware System

Author

Ding, Li-ya ; Lo, Sio-Long

Author_Institution

Fac. of Inf. Technol., Macau Univ. of Sci. & Technol., Taipa, China

Volume

1

fYear

2009

fDate

12-15 July 2009

Firstpage

215

Lastpage

220

Abstract

Knowware system (KWS) has been proposed as a framework of intelligent tool for modeling and development of knowledge-based system. It is to support application developers in constructing customized hybrid intelligent system without the necessity of being familiar with relevant AI techniques. As a continued work of previous studies of KWS, this article discusses the development of KWS inference engine from the aspects of truth value flow inference, confidence handling, protocol between intelligent components in knowledge hierarchy, control of execution, and feedback handling, and provides key algorithms.

Keywords

fuzzy set theory; inference mechanisms; knowledge based systems; protocols; AI technique; confidence handling; customized hybrid intelligent system; execution control; feedback handling; fuzzy set theory; inference engine; intelligent tool; knowledge hierarchy; knowledge-based system; knowware system; protocol; truth value flow inference; Cybernetics; Engines; Hybrid intelligent systems; Inference algorithms; Inference mechanisms; Information technology; Knowledge based systems; Learning systems; Machine learning; Protocols; Construction of knowledge-based system; KWS inference engine; Knowware system; Truth value flow inference;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2009 International Conference on

Conference_Location

Baoding

Print_ISBN

978-1-4244-3702-3

Electronic_ISBN

978-1-4244-3703-0

Type

conf

DOI

10.1109/ICMLC.2009.5212528

Filename

5212528