The 'what' and 'how' of learning in design, invited paper

Alex H. B. Duffy

Research output: Contribution to journalArticlepeer-review

39 Citations (Scopus)
105 Downloads (Pure)


Previous experiences hold a wealth of knowledge which we often take for granted and use unknowingly through our every day working lives. In design, those experiences can play a crucial role in the success or failure of a design project, having a great deal of influence on 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 paper outlines some of the work which has been carried out in applying and developing Machine Learning techniques to support the design activity; particularly in utilising previous designs and learning the design process.
Original languageEnglish
Pages (from-to)71-76
Number of pages6
JournalIEEE Intelligent Systems
Issue number3
Publication statusPublished - Jun 1997


  • design experience
  • machine learning
  • design reuse
  • design process learning
  • agent based learning
  • design engineering


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