Abstract
Transformational analogy is currently more widely employed than derivational analogy in CBR applications, even though the latter has significant advantages over the former. The main reason for the reluctance to use derivational analogy is the complexity of representation. Other factors include issues related to retrieval and difficulties in system validation. Means of addressing these issues are described in this paper. Unique opportunities offered by the approach are illustrated with examples.
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Raphael, B. (2006). Derivational Analogy: Challenges and Opportunities. In: Smith, I.F.C. (eds) Intelligent Computing in Engineering and Architecture. EG-ICE 2006. Lecture Notes in Computer Science(), vol 4200. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11888598_49
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DOI: https://doi.org/10.1007/11888598_49
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-46246-0
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