Title
Constraint Mechanisms In Automated Knowledgegeneration
Abstract
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 thesesystems find their basis in engineering, specifically in process control. The majority of thetime 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 systemsthat perform the KE task is under way. This article presents an approach toward automaticknowledge acquisition. The objective of this research was to construct a complete knowledgebase for a diagnostic and control reasoning system from information that resides in ComputerAided Design (CAD) databases. This work will decrease the amount of time spent in themanual generation of knowledge bases for diagnostic reasoning systems. It will also enablethe creation of more reliable knowledge bases since less hand coding is required. © 1988 Taylor & Francis Group, LLC.
Publication Date
1-1-1993
Publication Title
Applied Artificial Intelligence
Volume
7
Issue
2
Number of Pages
113-134
Document Type
Article
Identifier
scopus
Personal Identifier
scopus
DOI Link
https://doi.org/10.1080/08839519308949979
Copyright Status
Unknown
Socpus ID
0027574487 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/0027574487
STARS Citation
Towhidnejad, M.; Myler, H. R.; and Gonzalez, A. J., "Constraint Mechanisms In Automated Knowledgegeneration" (1993). Scopus Export 1990s. 761.
https://stars.library.ucf.edu/scopus1990/761