@conference {4621, title = {Toward a Knowledge Transfer Model of Case-Based Inference}, booktitle = {Twenty-Fifth International Florida Artificial Intelligence Research Society Conference}, year = {2012}, month = {23 May 2012}, pages = {341-346}, publisher = {AAAI Press}, organization = {AAAI Press}, address = {Marco Island, Florida USA}, abstract = {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 un- derstood. 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 pa- per presents a preliminary formal model of knowledge transfer and relates it to the classical notion of analogy.}, keywords = {Amalgam, analogy, CBR}, isbn = {ISBN 978-1-57735-558-8}, author = {Santiago Onta{\~n}{\'o}n and Enric Plaza} }