Case‐Based Reasoning: an overview

Article type: Research Article

Authors: de Mántaras, Ramon López | Plaza, Enric

Affiliations: IIIA‐Artificial Intelligence Research Institute, CSIC‐Spanish National Research Council, Campus Universitat Autonoma de Barcelona, 08193 Bellaterra, Spain E‐mail: mantaras@ iiia.csic.es

Abstract: This paper contains a brief overview of Case‐Based Reasoning (CBR) with an emphasis on European activities in the field. The main objective was to have a balance between brevity and expressiveness and providing helpful pointers to the field. It identifies major open problems of CBR associated with: retrieval/selection, memory organization, matching, adaptation/evaluation, forgetting and, finally, integration with other techniques. It is intended for readers with knowledge in the area and contains a list of more than one hundred references in the field.

Keywords: Case‐Based Reasoning, learning, problem solving

Journal: AI Communications, vol. 10, no. 1, pp. 21-29, 1997