While similarity and retrieval in case-based reasoning (CBR) have received a lot of attention in the literature, other aspects of CBR, such as case reuse are less understood. Specifically, we focus on one of such, less understood, problems: knowledge transfer. The issue we intend to elucidate can be expressed as follows: what knowledge present in a source case is transferred to a target problem in case-based inference? This paper presents a preliminary formal model of knowledge transfer and relates it to the classical notion of analogy. © 2012 Springer-Verlag.
CITATION STYLE
Ontañón, S., & Plaza, E. (2012). On knowledge transfer in case-based inference. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7466 LNAI, pp. 312–326). https://doi.org/10.1007/978-3-642-32986-9_24
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