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Issue No.03 - May-June (1997 vol.12)
pp: 71-76
ABSTRACT
<p>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. </p> <p>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. </p>
CITATION
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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