Abstract
In many real-world situations, it is impossible or impractical to fully specify all rules involved, yet it is easy to generate working solutions for commonly encountered situations. Case-Based Reasoning (CBR) is an expert systems methodology in which reasoning and learning are based on examples, significantly reducing the cost and effort previously spent in acquiring rules in the knowledge acquisition phase. CBR has emerged as a strong alternative to rule-based systems.
We should be careful to get out of an experience only the wisdom that’ in it - and stop there; lest we be like the cat that sits down on a hot stove-lid. She will never sit down on a hot stove-lid again - and that is well; but also she will never sit down on a cold one any more. Mark Twain, 1897
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Mohan, C.K. (2000). Case Based Reasoning Systems. In: Frontiers of Expert Systems. The Springer International Series in Engineering and Computer Science, vol 552. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-4509-5_7
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DOI: https://doi.org/10.1007/978-1-4615-4509-5_7
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