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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
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
full text file.pdf (137,225 bytes)
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