Toward a Knowledge Transfer Model of Case-Based Inference
Publication Type:
Conference PaperSource:
Twenty-Fifth International Florida Artificial Intelligence Research Society Conference, AAAI Press, Marco Island, Florida USA, p.341-346 (2012)ISBN:
ISBN 978-1-57735-558-8Keywords:
CBR; analogy; amalgamAbstract:
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.
