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 December 15, 2024)
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Knowledge Engineering for Real Time Intelligent Control
Published
Author(s)
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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
Pub Type
Conferences
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Keywords
architectures, intelligent control, intelligent systems, knowledge engineering, knowledge representation, real-time control
Citation
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Created September 18, 2002, Updated February 17, 2017