Title :
Inference in Knowware System
Author :
Ding, Li-ya ; Lo, Sio-Long
Author_Institution :
Fac. of Inf. Technol., Macau Univ. of Sci. & Technol., Taipa, China
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;
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
DOI :
10.1109/ICMLC.2009.5212528
