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Knowledge Engineering for Real Time Intelligent Control

Published

Author(s)

John Evans, Elena R. Messina, James S. Albus

Abstract

The key to real-time intelligent control lies in the knowledge models that the system contains. Three main classes of knowledge are identified: parametric, geometric/iconic, and symbolic. Each of these classes provides unique perspectives and advantages for the planning of behaviors by the intelligent system.
Proceedings Title
Proceedings of the International Workshop on Intelligent Knowledge Management Techniques (I-KOMAT 2003)
Conference Dates
September 16-18, 2002
Conference Location
Crema, IT
Conference Title
International Workshop on Intelligent Knowledge Management

Keywords

architectures, intelligent control, intelligent systems, knowledge engineering, knowledge representation, real-time control

Citation

Evans, J. , Messina, E. and Albus, J. (2002), Knowledge Engineering for Real Time Intelligent Control, Proceedings of the International Workshop on Intelligent Knowledge Management Techniques (I-KOMAT 2003), Crema, IT, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=823410 (Accessed June 20, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created September 18, 2002, Updated February 17, 2017