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Knowledge Engineering for Real Time Intelligent Control



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.
Journal of Intelligent & Fuzzy Systems


geometic, iconic, intelligent control, Knowledge Engineering, knowledge representation, parametic, Robotics & Intelligent Systems, spatial, Unmanned System


Messina, E. , Albus, J. , Schlenoff, C. and Evans, J. (2003), Knowledge Engineering for Real Time Intelligent Control, Journal of Intelligent & Fuzzy Systems, [online], (Accessed April 25, 2024)
Created December 31, 2003, Updated February 17, 2017