Abstract
A case-based reasoning approach assumes that there is a predefined mapping from a new problem definition to a solution. In design, this assumption is not valid. The mapping from the set of design specifications to a design solution cannot be predefined and in some cases the specifications cannot be predefined. For a specific design situation, the selection of a starting point can have a significant effect on the quality of the final design. Most case-based reasoning systems use the requirements of the new design context to search case memory and retrieve a set of design cases. In this article we argue that in design, the case retrieval process is should not be modelled as search, but as exploration, since the specifications of a design problem are likely to change and expand as the design progresses. We present two strategies for case retrieval that use case memory to explore the design space and describe the role of design models in supporting such case retrieval strategies.
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© 1994 Springer Science+Business Media Dordrecht
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Maher, M.L., Balachandran, B. (1994). Flexible Retrieval Strategies for Case-Based Design. In: Gero, J.S., Sudweeks, F. (eds) Artificial Intelligence in Design ’94. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-0928-4_10
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DOI: https://doi.org/10.1007/978-94-011-0928-4_10
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