Book chapter
On Knowledge Transfer in Case-Based Inference
Case-Based Reasoning Research and Development, pp 312-326
2012
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 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.
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13 citations in Scopus
Details
- Title
- On Knowledge Transfer in Case-Based Inference
- Creators
- Santiago Ontañón - Drexel UniversityEnric Plaza - Artificial Intelligence Research Institute
- Publication Details
- Case-Based Reasoning Research and Development, pp 312-326
- Series
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg; Berlin, Heidelberg
- Resource Type
- Book chapter
- Language
- English
- Academic Unit
- Computer Science (Computing)
- Scopus ID
- 2-s2.0-84866688343
- Other Identifier
- 991021869112904721