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Acquiring expert knowledge from characterized designs

Published online by Cambridge University Press:  27 February 2009

Sally McLaughlin  and
John S. Gero
Sally McLaughlin
Affiliation:
Architectural Computing Unit, Department of Architectural Science, University of Sydney, NSW 2006, Australia
John S. Gero
Affiliation:
Architectural Computing Unit, Department of Architectural Science, University of Sydney, NSW 2006, Australia
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Abstract

The expertise of designers consists, primarily, of information about the relationship between goals or performance criteria and the attributes of the desired artifact that will result in performances that will satisfy these criteria. The designer like experts in other fields is typically better at applying the knowledge that constitutes his expertise than he is at articulating this knowledge. Generation and simulation models are discussed as a means of generating a set of designs for which the set of attributes defining these designs and the performance of these designs in terms of the criteria considered are explicitly defined. Pareto optimization is discussed as a means of structuring these designs on the basis of their performance. The induction algorithm ID3 is used as a means of inferring general statements about the nature of solutions which exhibit Pareto optimal performance in terms of a set of performance criteria. The rules inferred in building design domain are compared with those extracted using a heuristic based learning system.

Type
Research Article
Information
AI EDAM , Volume 1 , Issue 2 , May 1987 , pp. 73 - 87
Copyright
Copyright © Cambridge University Press 1987

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