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Acquiring expert knowledge from characterized designs
Journal article   Peer reviewed

Acquiring expert knowledge from characterized designs

Sally McLaughlin and John S. Gero
Artificial intelligence for engineering design, analysis and manufacturing, v 1(2), pp 73-87
May 1987
DOI: https://doi.org/10.1017/S0890060400000172

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.

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