Name: Second Generation Expert Systems
Creator: Steels, Luc
Keywords: 05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, 0501 psychology and cognitive sciences, 02 engineering and technology

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Article , Other literature type , Report 01 Jun 1985 German Publisher:Vieweg+Teubner VerlagJournal:Future Generation Computer Systems, volume 1, pages 213-221 (issn: 0167-739X,

Authors: Steels, Luc;

doi: 10.1007/978-3-322-94662-1_32 , 10.1016/0167-739x(85)90010-x

handle: 10261/127949

Second Generation Expert Systems

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Abstract

Second generation expert systems are able to combine heuristic reasoning based on rules, with deep reasoning based on a model of the problem domain. This solves a number of major problems of current expert systems, most importantly the problem of knowledge acquisition: second generation expert systems can learn new rules by examining the results of deep reasoning. The paper outlines the components of second generation expert systems and gives an example.

This research is partially sponsored by the Belgian Ministry of Scientific Planning.

Peer Reviewed

Related Organizations

Vrije Universiteit Amsterdam
Netherlands
Vrije Universiteit Brussel
Belgium
Spanish National Research Council
Spain

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