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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|
|Pages:||pp. 137 - 147|
|Keywords:||geometic,iconic,intelligent control,Knowledge Engineering,knowledge representation,parametic,Robotics & Intelligent Systems,spatial,Unmanned System|
|PDF version:||Click here to retrieve PDF version of paper (97KB)|