CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

authors Shih, Shen-Guan
year 1991
title Case-based Representation and Adaptation in Design
source Computer Aided Architectural Design Futures: Education, Research, Applications [CAAD Futures ‘91 Conference Proceedings / ISBN 3-528-08821-4] Zürich (Switzerland), July 1991, pp. 301-312
summary By attempting to model the raw memory of experts, case-based reasoning is distinguished from traditional expert systems, which compile experts' knowledge into rules before new problems are given. A case-based reasoning system processes new problems with the most similar prior experiences available, and adapts the prior solutions to solve new problems. Case-based representation, of design knowledge utilizes the desirable features of the selected case as syntax rules to adapt the case to a new context. As a central issue of the paper, three types of adaptation aimed at topological modifications are described. The first type - casebased search - can be viewed as a localized search process. It follows the syntactical structure of the case to search for variations which provide the required functionality. Regarding the complexity of computation, it is recognized that when a context sensitive grammar is used to describe the desirable features, the search process become intractable. The second type of adaptation can be viewed as a process of self-organization, in which context-sensitive grammars play an essential role. Evaluations have to be simulated by local interaction among design primitives. The third type is called direct transduction. A case is translated directly to another structure according to its syntax by some translation functions. A direct transduction is not necessarily a composition of design operators and thus, a crosscontextual mapping is possible. As a perspective use of these adaptation methods, a CAD system which provides designers with the ability to modify the syntactical structure of a group of design elements, according to some concerned semantics, would support designers better than current CAD systems.
series CAAD Futures
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