Integration framework for intelligent manufacturing processes |
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Authors: | Ming Rao James T Luxhoj |
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Affiliation: | (1) Intelligent Engineering Laboratory, Department of Chemical Engineering, The University of Alberta, T6G2G6 Edmonton, Alberta, Canada;(2) Department of Industrial and Systems Engineering, Rutgers, The State University of New Jersey, 08855-0909 Piscataway, NJ, USA |
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Abstract: | In this article, we describe a new approach to applying distributed artificial intelligence techniques to manufacturing processes. The construction of intelligent systems is one of the most important techniques among artificial intelligence research. Our goal is to develop an integrated intelligent system for real time manufacturing processes. An integrated intelligent system is a large knowledge integration environment that consists of several symbolic reasoning systems (expert systems) and numerical computation packages. These software programs are controlled by a meta-system which manages the selection, operation and communication of these programs. A meta-system can be implemented in different language environments and applied to many disciplines. This new architecture can serve as a universal configuration to develop high performance intelligent systems for many complicated industrial applications in real world domains.To whom all correspondence should be addressed. |
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Keywords: | Distributed artificial intelligence integration meta-system |
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