Towards a Principle-Based Approach for Case-Based Reasoning
Abstract
Case-based reasoning (CBR) is an experience-based approach to solving problems; it adapts previously successful cases to new problems following the key assumption: the more similar the cases, the more similar their solutions. Despite its popularity, there are few works on foundations, or properties, that may underlie CBR models. This paper bridges this gap by defining various notions capturing the above assumption, and proposing a set of principles that a CBR system would satisfy. We discuss their properties and show that the principles that are founded on the CBR assumption are incompatible with some axioms underlying non-monotonic reasoning (NMR). This shows that CBR and NMR are different forms of reasoning, and sheds light on the reasons behind their disagreements.
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