Emergent case-based reasoning applications

  • Authors:
  • Ramon Lopez De Mantaras;Padraig Cunningham;Petra Perner

  • Affiliations:
  • Artificial Intelligence Research Institute, CSIC, Campus UAB, 08193 Bellaterra, Spain/ e-mail: mantaras&commat/iiia.csic.es;AI Group, Department of Computer Science, Trinity College, Dublin 2, Ireland/ e-mail: Padraig.Cunningham&commat/cs.tcd.ie;Institute of Computer Vision and Applied Computer Sciences, Kö/rnerstrasse 10, 04107 Leipzig, Germany/ e-mail: ibaiperner&commat/aol.com

  • Venue:
  • The Knowledge Engineering Review
  • Year:
  • 2005

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Abstract

The basic principle underpinning case-based reasoning (CBR) is that new problems can be solved by reusing solutions to past problems. The generality of this idea means that CBR is finding application in a wide variety of areas. The special advantage of CBR is that a case can be a very convenient means of capturing knowledge, especially in weak theory domains where the relationship between causes and effects may not be well understood. Cases may embody more than problem-solving knowledge; the knowledge in a case may be a creative structure or a complex behavior pattern. The widespread applicability of this idea means that it has been exploited in a diverse range of areas across the arts and sciences. This article provides a brief summary of some of these applications.