Bong-Soo Youn

Abstract

IKAS (Intelligent Knowledge Acquisition System) is an expert system building shell with a machine-assisted concept checker for easy integrated rule-entry. Unlike most expert system shells currently available, IKAS not only performs rule syntax checking, but also maintains semantic integration of the knowledge base by using a Concept Base. The Concept Base is incrementally grown during the cycle of expert system application development and safeguards the whole domain from conceptually conflicting rules by finding possible inconsistencies or duplications of concepts and giving recommendations for possible solutions. Also automatic generalized concept forming using the Inductive Extension Generalization method gives IKAS a capability to discover new inductive hypotheses from the existing knowledge base. IKAS can be an advancement for the current expert system technology in terms of complex knowledge representation and utilization.

Library of Congress Subject Headings

Expert systems (Computer science)--Design and construction; Machine learning; Artificial intelligence

Publication Date

1989

Document Type

Thesis

Department, Program, or Center

Computer Science (GCCIS)

Advisor

Biles, John

Advisor/Committee Member

Radziszowski, Stanislaw

Advisor/Committee Member

Anderson, Peter

Comments

Note: imported from RIT’s Digital Media Library running on DSpace to RIT Scholar Works. Physical copy available through RIT's The Wallace Library at: QA76.9.E96 Y683 1989

Campus

RIT – Main Campus

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