Journal article
Learning design rules from decisions and performances
Artificial intelligence in engineering, v 2(1), pp 2-10
1987
Abstract
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. © 1987.
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Details
- Title
- Learning design rules from decisions and performances
- Creators
- Conrad A. Mackenzie - The University of SydneyJohn S. Gero - The University of Sydney
- Publication Details
- Artificial intelligence in engineering, v 2(1), pp 2-10
- Number of pages
- 9
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Psychological and Brain Sciences (Psychology)
- Scopus ID
- 2-s2.0-0023207079
- Other Identifier
- 991022202928704721