Expert systems and learning.

Ibrahim, Zaidah and Mohamed, Azlinah (2002) Expert systems and learning. In: INSIGHTS Seminar 2002, 24-25 August 2002, Putra World Trade Centre (PWTC).

Abstract

Standard expert systems do not have learning capabilities. They require the software designer to incorporate qualitative knowledge of the domain, either in the knowledge base or in the inference process. It would be extremely useful if a program can produce its own knowledge and expands the content of the knowledge base or adapt to new situations. Thus, this research is concerned with the development of a PC-based expert system prototype with learning capabilities.

Item Details

Item Type:	Conference or Workshop Item (Paper)
Creators:	Creators Email / ID Num. Ibrahim, Zaidah UNSPECIFIED Mohamed, Azlinah UNSPECIFIED
Subjects:	Q Science > Q Science (General) > Machine learning T Technology > T Technology (General) > Information technology. Information systems
Divisions:	Universiti Teknologi MARA, Shah Alam > Research Management Centre (RMC) > Institute of Research, Development and Commercialization (IRDC) > Bureau of Research and Consultancy
Event Title:	INSIGHTS Seminar 2002
Event Dates:	24-25 August 2002
Page Range:	pp. 278-286
Keywords:	Expert system, Machine learning, Knowledge base, Learning capability, Artificial Intelligence (AI).
Date:	2002
URI:	https://ir.uitm.edu.my/id/eprint/143130

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