Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/7642
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Title: A knowledge-based architecture for intelligent design support
Authors: Tang, MX 
Issue Date: Dec-1997
Source: Knowledge engineering review, Dec. 1997, v. 12, no. 4, p. 387-406
Abstract: The development of a knowledge-based design support system is a lengthy and costly process because various computational techniques necessary for intelligent design support are not readily available in a knowledge-based environment. The systematisation of design knowledge needs combined e€orts from designers and knowledge engineers. Existing knowledge-based system development tools o€er limited support to intelligent design support which require sophisticated knowledge engineering techniques in terms of knowledge representation, inference, control, truth maintenance and learning. In this paper, a knowledge-based architecture for intelligent design support is described. The existing knowledge-based design system architectures are reviewed ®rst. Five key issues in intelligent design support using knowledge engineering techniques, i.e. design knowledge representation, structure of design knowledge base, intelligent control of design process, consistency and context management of design knowledge, and modelling of design collaboration are then discussed. These discussions provide a basis for a description of a knowledge-based design support system architecture which has been implemented in a Lisp-based environment and tested in two di€erent domains. Current application of this architecture in the development of a design support system in the domain of mechanical engineering design at the Cambridge Engineering Design Centre is presented and evaluated.
Publisher: Cambridge University Press
Journal: Knowledge engineering review 
ISSN: 0269-8889 (print)
1469-8005 (EISSN)
DOI: 10.1017/S0269888997004025 10.1017/S0269888997004025
Rights: © Cambridge University Press 1997.
The following article "MING XI TANG (1997). A knowledge-based architecture for intelligent design support. The Knowledge Engineering Review, 12, pp 387-406." is available at http://journals.cambridge.org/action/displayAbstract?fromPage=online&aid=35947.
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