| id |
5a6e |
| authors |
Ji-Hyun Lee |
| year |
2003 |
| title |
HOUSING TYPES AND CLASSIFICATION SYSTEMS IN CASE-BASED DESIGN |
| source |
Proceedings of the 37th ANZAScA Conference (S Mayman ed), November 1-4, University of Sydney, Australia, pp. 383-395. |
| summary |
Expert designers typically refer to and re-use past solutions for recurring design problems. Case-based design (CBD) attempts to transfer this natural design reasoning process to computer-aided design using artificial intelligence (AI) methods and databases. The housing design domain is particularly suited for applying the CBD approach because the traditional method of home design already makes extensive use of precedents and solutions are highly standardized in that industry, at least in the U.S. This paper introduces classificatory types of housing precedents that provide a basis for a structured knowledge representation that supports case retrieval. The classificatory types gives to a research prototype an efficient classification and indexing mechanism that combines form- and component-based features and remains flexible (i.e. can be modified and customized by users), and a retrieval mechanism that uses the indexing mechanism. |
| keywords |
Case-based design, design precedents, design knowledge, classificatory types |
| series |
other |
| type |
normal paper |
| email |
|
| full text |
 file.pdf (258,000 bytes) |
| references |
Content-type: text/plain
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| last changed |
2007/07/26 07:34 |
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