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Knowledge Engineering for Real-Time Intelligent 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
Intelligent Knowledge Management Techniques, (I-KOMAT 2002), International Workshop | 6th | |
Conference Dates
September 16-18, 2002
Conference Location
Crema, IT
Conference Title
International Workshop on Intelligent Knowledge Management

Keywords

intelligent control, intelligent systems, knowledge bases, knowledge engineering, knowledge representation, software architecture, world models

Citation

Evans, J. , Messina, E. , Albus, J. and Schlenoff, C. (2002), Knowledge Engineering for Real-Time Intelligent Control, Intelligent Knowledge Management Techniques, (I-KOMAT 2002), International Workshop | 6th | |, Crema, IT (Accessed June 21, 2024)

Issues

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Created September 1, 2002, Updated February 17, 2017