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Knowledge Engineering for Real Time Control

Published

Author(s)

John Evans, Elena R. Messina, James S. Albus, Craig I. Schlenoff

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 Symposium on Intelligent Control
Conference Dates
October 27-30, 2002
Conference Location
Vancouver, CA
Conference Title
International Symposium on Intelligent Control

Keywords

autonomous mobility, geometric, iconic, knowledge representation, parametic, symbolic

Citation

Evans, J. , Messina, E. , Albus, J. and Schlenoff, C. (2002), Knowledge Engineering for Real Time Control, Proceedings of the International Symposium on Intelligent Control, Vancouver, CA, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=821731 (Accessed June 19, 2024)

Issues

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

Created October 30, 2002, Updated February 17, 2017