Usages of Generalization in Case-Based Reasoning

Authors:
Eva Armengol
Affiliations:
IIIA, Artificial Intelligence Research Institute, CSIC, Spanish Council for Scientific Research, Campus UAB, 08193 Bellaterra, Catalonia, Spain)
Venue:
ICCBR '07 Proceedings of the 7th international conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Year:
2007

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Abstract

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.