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The episodal associative memory: Managing manufacturing information on the basis of similarity and associativity
Authors:Yoh-Han Pao  Kambiz Komeyli  Darlene Shei  Steven Leclair  Alan Winn
Affiliation:(1) Electrical Engineering and Computer Science, Case Western Reserve University, 44106 Cleveland, Ohio, USA;(2) Wright Laboratories, Air Force Systems Command, WPAFB, 45433-6533 Ohio, USA
Abstract:In this paper we report on continuing research on the organization and functionalities of a certain type of computer-implemented associative memory. The associative memory in question is being created to serve as part of a feature-based design system, at present to be used primarily in support of the design, fabrication planning, or inspection planning of discrete mechanical machine parts. This present effort is consonant with prior related work in the realm of case-based reasoning, especially as related to the role of memory in design. Our associative memory innovations are in the use of fuzzy sets and neural net computing in the representation, storage and retrieval of design, fabrication, inspection and materials knowledge. We have designed and implemented a considerable portion of the associative memory and have demonstrated retrieval of previous designs on the basis of qualitative geometry. We have also demonstrated ability to explore materials composition with the objective of meeting critical materials properties constraints.
Keywords:Associative memory  feature-based design
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