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Dimensions of machine learning in design

Published online by Cambridge University Press:  01 April 1998

DAN L. GRECU  and
DAVID C. BROWN
DAN L. GRECU
Affiliation:
AI in Design Group, Department of Computer Science, Worcester Polytechnic Institute, Worcester, MA 01609, U.S.A.
DAVID C. BROWN
Affiliation:
AI in Design Group, Department of Computer Science, Worcester Polytechnic Institute, Worcester, MA 01609, U.S.A.
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Abstract

Many of the design systems developed in recent years incorporate some machine learning. The number of such systems already available, and the multitude of design learning opportunities that are slowly being revealed, suggest that the time is ripe to attempt to put these developments into a systematic framework. Consequently, in this paper we present a set of dimensions for machine learning in design research. We hope that it can be used as a guide for comparing existing work, and that it may suggest new directions for future exploration in this area.

Keywords

DesignDimensionsMachine LearningTaxonomy
Type
Research Article
Information
AI EDAM , Volume 12 , Issue 2 , April 1998 , pp. 117 - 121
Copyright
© 1998 Cambridge University Press

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