| authors |
McLaughlin, S. and Gero, John S. |
| year |
1987 |
| title |
Acquiring Expert Knowledge from Characterized Designs |
| source |
Artificial Intelligence for Engineering Design and Manufacturing. 1987. vol. 1: pp. 73-87 |
| summary |
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. Pareto optimization is discussed as a means of structuring designs on the basis of their performance. The induction algorithm ID3 is used as 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 a building design domain are compared with those extracted using a heuristic based learning system |
| keywords |
knowledge acquisition, design, optimization, algorithms, learning, inference, architecture, performance |
| series |
CADline |
| email |
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| references |
Content-type: text/plain
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| last changed |
2003/06/02 10:24 |
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