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authors Mackenzie, C.A. and Gero, John S.
year 1987
title Learning Design Rules from Decisions and Performances
source Artificial Intelligence in Engineering. 1987. vol. 2: pp. 2-10
summary This paper examines an approach to the extraction of implicit knowledge in rule form about the relationships between design decisions and their performance consequences. The effects of an imposed structure on a performance space are observed in relation to matching points in a decision space. A mapping between the two spaces embodies the knowledge that is discovered. The performance space is structured by Pareto optimization and the knowledge extraction process is illustrated by two examples from building design. The use of the methodology for learning about decision/performance relationships in extant designs is proposed
keywords inference, expert systems, design process, evaluation, learning, theory, applications, systems
series CADline
email john@arch.usyd.edu.au
references Content-type: text/plain
last changed 2003/06/02 12:41
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