AKARS-1 : an Automatic Knowledge Acquisition and Refinement System


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Expert Systems are definitely one of the major success of Artificial Intelligence. Unfortunately, the knowledge acquisition bottleneck hampers the development of Expert Systems in practical domains. Machine Learning is a promising solution to this problem and this paper discusses an Automatic Knowledge Acquisition and Refinement System(AKARS-1) for knowledge in rule form. Two major components AKARS-1, the learning component (AKA-1) and the Heuristic Refinement System (HERES) are detailed. A prototype of AKA-1 has been implemented and three case studies are used to validate this prototype. A comparison between ID3 and AKA-1 is presented. HERES employs heuristics and statistical methods to guide its search for refinements. These methods are also discussed in the paper.
Original languageEnglish
Title of host publicationKnowledge acquisition for knowledge-based systems
EditorsH. Motoda, R. Mizoguchi, J. Boose, B. Gaines
PublisherIOS Press
Number of pages14
ISBN (Print)9789051990447
Publication statusPublished - 1991
Externally publishedYes


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