CONSTRAINT MECHANISMS IN AUTOMATED KNOWLEDGE GENERATION

In the past decade, the use of control and diagnostic reasoning systems in different areas of government, industry, and university operations has increased. A great number of these systems find their basis in engineering, specifically in process control. The majority of the time devoted to the devel...

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Bibliographic Details
Published in:Applied artificial intelligence 1993-04, Vol.7 (2), p.113-134
Main Authors: TOWHIDNEJAD, M., MYLER, H. R., GONZALEZ, A. J.
Format: Article
Language:English
Subjects:
Applied sciences
Artificial intelligence
Computer science
control theory
systems
Exact sciences and technology
Learning and adaptive systems
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Summary:In the past decade, the use of control and diagnostic reasoning systems in different areas of government, industry, and university operations has increased. A great number of these systems find their basis in engineering, specifically in process control. The majority of the time devoted to the development of these systems is spent in the areas of Knowledge Engineering (KE) and Knowledge Acquisition (KA). Extensive research for the development of systems that perform the KE task is under way. This article presents an approach toward automatic knowledge acquisition. The objective of this research was to construct a complete knowledge base for a diagnostic and control reasoning system from information that resides in Computer Aided Design (CAD) databases. This work will decrease the amount of time spent in the manual generation of knowledge bases for diagnostic reasoning systems, ft will also enable the creation of more reliable knowledge bases since less hand coding is required.
ISSN:0883-9514
1087-6545
DOI:10.1080/08839519308949979