| authors |
Ho, Chun-Heng |
| year |
1998 |
| title |
A Computational Model for Problem-Decomposing Strategy |
| source |
CAADRIA ‘98 [Proceedings of The Third Conference on Computer Aided Architectural Design Research in Asia / ISBN 4-907662-009] Osaka (Japan) 22-24 April 1998, pp. 415-424 |
| doi |
https://doi.org/10.52842/conf.caadria.1998.415
|
| summary |
Conventional computational models such as Soar, Act, and Mental Models,
solve problems by pattern matching. However, according to other cognitive
psychology-related studies, the searching strategies employed by experts and novices in
well-structured problems closely resemble each other. Restated, problem-decomposing
strategies allow expert designers to perform more effectively than novices. In this study,
we construct a rule-based floor-planning CAD system in Lisp to closely examine the
relationship between problem-decomposing strategies and design behavior in
computation. Execution results demonstrate that the larger the number of elements that
the system considers implies more efficient problem-decomposing strategies.
|
| keywords |
Computational Model, Rule-Based Expert System, Housing Floor Planning, Problem-Decomposing Strategy |
| series |
CAADRIA |
| email |
|
| more |
http://www.caadria.org |
| full text |
 file.pdf (137,225 bytes) |
| references |
Content-type: text/plain
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| last changed |
2022/06/07 07:50 |
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