Título | Toward a Knowledge Transfer Model of Case-Based Inference |
Publication Type | Conference Paper |
Year of Publication | 2012 |
Authors | Ontañón S, Plaza E |
Conference Name | Twenty-Fifth International Florida Artificial Intelligence Research Society Conference |
Editorial | AAAI Press |
Conference Location | Marco Island, Florida USA |
Paginación | 341-346 |
Date Published | 23 May 2012 |
ISBN Number | ISBN 978-1-57735-558-8 |
Palabras clave | Amalgam, analogy, CBR |
Resumen | 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. |