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Usages of Generalization in Case-Based Reasoning

2007; Springer Science+Business Media; Linguagem: Inglês

10.1007/978-3-540-74141-1_3

1611-3349

Eva Armengol,

AI-based Problem Solving and Planning

The aim of this paper is to analyze how the generalizations built by a CBR method can be used as local approximations of a concept. From this point of view, these local approximations can take a role similar to the global approximations built by eager learning methods. Thus, we propose that local approximations can be interpreted either as: 1) a symbolic similitude among a set of cases, 2) a partial domain model, or 3) an explanation of the system classification. We illustrate these usages by solving the Predictive Toxicology task.