Knowledge Engineering for Real Time Intelligent Control

Published: December 31, 2003


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


The key to real-time intelligent control lies in the knowledge models that the system contains. We argue that there needs to be a more rigorous approach to engineering the knowledge within intelligent controllers. 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. Examples of each from demonstration systems are presented.
Citation: Journal of Intelligent & Fuzzy Systems
Volume: 14
Pub Type: Journals

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geometic, iconic, intelligent control, Knowledge Engineering, knowledge representation, parametic, Robotics & Intelligent Systems, spatial, Unmanned System
Created December 31, 2003, Updated February 17, 2017