The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Case-based reasoning: A review
Abstract
Case-Based Reasoning (CBR) is a relatively recent problem solving technique that is attracting increasing attention. However, the number of people with first-hand theoretical or practical experience of CBR is still small. The main objective of this review is to provide a comprehensive overview of the subject to people new to CBR. The paper outlines the development of CBR in the US in the 1980s. It describes the fundamental techniques of CBR and contrasts its approach to that of model-based reasoning systems. 1 A critical review of currently available CBR software tools is followed by descriptions of CBR applications both from academic research and, in more detail, three CBR systems that are presently being used commercially. Each of the three commercial case studies highlights features that made CBR particularly suitable for the application. Moreover, the last case study describes a development methodology for implementing CBR systems. The paper concludes with a research agenda for CBR. A detailed categorized bibliography of CBR research is provided in a companion paper (Marir & Watson, 1994).
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Cites
Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches
Aamodt, A., & Plaza, E. (1994) · AI Communications · doi:10.3233/aic-1994-7104 · Cited by 5,624
Clancey, W. J. (1985) · Artificial Intelligence · doi:10.1016/0004-3702(85)90016-5 · Cited by 880
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Clarke, P., & O’Connor, R. V. (2012) · Information and Software Technology · doi:10.1016/j.infsof.2011.12.003 · Cited by 332
Artificial Intelligence techniques: An introduction to their use for modelling environmental systems
Chen, S. H., Jakeman, A. J., & Norton, J. P. (2008) · Mathematics and Computers in Simulation · doi:10.1016/j.matcom.2008.01.028 · Cited by 323
Metadata
- Authors
- Watson, I., & Marir, F.
- Venue
- The Knowledge Engineering Review
- Publisher
- Maximum Academic Press
- Published
- 1994-12
- Volume
- 9
- Issue
- 4
- Pages
- 327-354
- ISSN
- 0269-8889 (ISSN-L)
- 1469-8005
- OpenAlex
- W2171553064
- Cited by
- 680
- References
- 2
- FWCI
- 15.79
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
