Conference proceeding
Acquiring design knowledge from design cases
1993 the First New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems, November 24-26, 1993, Dunedin, New Zealand : proceedings, (1st), pp 338-340
1993
Abstract
Single-purpose learning algorithms are often not efficient in acquiring knowledge for expert systems in design. The authors present a method that learns design knowledge from design cases by the extensive generalization of abstract design schemas, which function as both a representation schema storing generalized knowledge and a memory organization facility indexing specific cases and aiding in retrieval. Unlike most current machine learning algorithms, it aims at multiple targets of prediction, feature reminding, case retrieval and new case generation in a single system.< >
Metrics
1 Record Views
Details
- Title
- Acquiring design knowledge from design cases
- Creators
- W. Wang - The University of SydneyJ.S. Gero - The University of Sydney
- Publication Details
- 1993 the First New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems, November 24-26, 1993, Dunedin, New Zealand : proceedings, (1st), pp 338-340
- Publisher
- IEEE Comput. Soc. Press
- Number of pages
- 3
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Psychological and Brain Sciences (Psychology)
- Scopus ID
- 2-s2.0-33747898141
- Other Identifier
- 991022202930804721