This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
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.

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
Usage of this product signifies your acceptance of the Terms of Use.