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The "What" and "How" of Learning in Design
May-June 1997 (vol. 12 no. 3)
pp. 71-76

Machine-learning in design offers tremendous potential to actively support designers in all of their problem-solving and knowledge-requirement activities. This article surveys what designers and their systems have accomplished so far using machine-learning techniques.

Previous experiences hold a wealth of knowledge that we often take for granted but use every day. In design, those experiences can play a crucial role in the success or failure of a design project, influencing the quality, cost, and development time of a product. But how can we empower computer-based design systems to acquire this knowledge? How would we use such systems to support design? This article outlines how researchers have applied and developed machine-learning techniques to support design--in particular, how systems use previous designs and how they learn the design process.

Alex H.B. Duffy, "The "What" and "How" of Learning in Design," IEEE Intelligent Systems, vol. 12, no. 3, pp. 71-76, May-June 1997, doi:10.1109/64.590079
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