Designing rule‐based expert systems with the aid of the model‐driven development approach

The problem of improving the efficiency of designing process of knowledge bases and expert systems remains a relevant issue. The effectiveness of this process can be improved by using the principles of conceptual (cognitive) modelling and generative programming‐based approaches, in particular, a mod...

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Bibliographic Details

Published in:	Expert systems Vol. 35; no. 5
Main Authors:	Yurin, Aleksandr Yurievich, Dorodnykh, Nikita Olegovich, Nikolaychuk, Olga Anatolievna, Grishenko, Maksim Andreevich
Format:	Journal Article
Language:	English
Published:	Oxford Blackwell Publishing Ltd 01.10.2018
Subjects:	CLIPS Computer programming Construction materials expert system Expert systems Intelligent systems knowledge base Knowledge bases (artificial intelligence) model‐driven architecture model‐driven development ontology Personal Knowledge Base Designer Programming languages rules System effectiveness
ISSN:	0266-4720, 1468-0394
Online Access:	Get full text
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