Journal article
Design codes as expert systems
Computer aided design, v 17(9), pp 399-409
01 Jan 1985
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Design codes contain a large amount of causal and experiential knowledge. However there are two primary difficulties in using them: they are large and complex; and they require substantial understanding on the part of the user. One of the significant difficulties in implementing expert systems is in acquiring the appropriate knowledge. However, design codes already represent knowledge in a codified form, albeit an ill structured one, and are therefore ripe for the application of this technology. An expert system shell written in Prolog has been implemented and examples of the use of the system with the Australian Model Uniform Building Code are presented to demonstrate its capabilities. Finally, some ideas about the future development of a comprehensive expert system and its environment are presented. © 1985.
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Details
- Title
- Design codes as expert systems
- Creators
- Michael A. Rosenman - The University of SydneyJohn S. Gero - The University of Sydney
- Publication Details
- Computer aided design, v 17(9), pp 399-409
- Number of pages
- 11
- Grant note
- National Energy Research, Development and Demonstration Programme Australian Computer Research Board Australian Research Grants Scheme
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Psychological and Brain Sciences (Psychology)
- Web of Science ID
- WOS:A1985AWF4400002
- Scopus ID
- 2-s2.0-0022151075
- Other Identifier
- 991022202927704721
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- Web of Science research areas
- Computer Science, Software Engineering