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Publication Citation: Knowledge Engineering for Real Time Intelligent Control

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Author(s): Elena R. Messina; James S. Albus; Craig I. Schlenoff; J L. Evans;
Title: Knowledge Engineering for Real Time Intelligent Control
Published: December 31, 2003
Abstract: 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
Pages: pp. 137 - 147
Keywords: geometic;iconic;intelligent control;Knowledge Engineering;knowledge representation;parametic;Robotics & Intelligent Systems;spatial;Unmanned System
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