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Evolving a design focus in response to design solutions

Published online by Cambridge University Press:  27 February 2009

Mary Lou Maher
Mary Lou Maher
Affiliation:
Key Centre of Design Computing, University of Sydney, Sydney, Australia
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Extract

Most computer-based design tools assume designers work with a well-defined problem. The traditional treatment of design as two discrete phases; problem formulation and solution synthesis, is challenged by recent research. Though the view on discrete phases may be applicable to simple and/or well-defined design tasks, current research (Jonas, 1993; Logan & Smithers, 1993; Gero, 1994; Smithers et al., 1994) has shown that design is an ill-structured problem and the discrete phases view is not a good description of the process during which design alternatives are generated. A potential role of machine learning techniques is to provide a computational model of the changing representation of the design problem in response to the search for design solutions.

Information

Type
Research Abstracts
Information
AI EDAM , Volume 10 , Issue 2: Special Issue: Machine learning in design , April 1996 , pp. 161 - 162
Copyright
Copyright © Cambridge University Press 1996

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References

REFERENCES

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