Trinity College Dublin, Department of Computer Science
[Author surname, forename]. 'Experiments in Adaptation-Guided Retrieval in Case-Based Design'. - Dublin, Trinity College Dublin, Department of Computer Science, TCD-CS-94-17, 1994, pp16
Computer Science Technical Report TCD-CS-94-17
Case-based reasoning (CBR) has been applied with some success to complex
planning and design tasks. In such systems, the best case is retrieved and adapted
to solve a particular target problem. In general, the best case is that which can be
most easily adapted to the target problem (as the overhead in adaptation is often
very high). Standard CBR systems use semantic-similarity to retrieve cases, on the
assumption that the most similar case is the best or easiest case to adapt. However,
this assumption can be shown to be unwarranted. In this paper, we report a novel
retrieval method, called adaptation-guided retrieval, that is sensitive to the ease-ofadaptation
of cases. In the context of a CBR system for software-design, called
Déjà Vu, we show through a series of experiments that adaptation-guided retrieval
is more accurate than standard retrieval techniques, that it scales well to large casebases
and that it results in more efficient overall problem-solving performance.
The implications of this method and these results are discussed.
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