Hybrid approach for case adaptation

  • Authors:
  • Claudio A. Policastro;Andre C. P. L. F. Carvalho;Alexandre C. B. Delbern

  • Affiliations:
  • Institute of Mathematical and Computer Sciences - University of Sao Paulo., Av. Trabalhador Sao-Carlense, 400 - 13560-970 - Sao Carlos, Sao Paulo, Brazil;Institute of Mathematical and Computer Sciences - University of Sao Paulo., Av. Trabalhador Sao-Carlense, 400 - 13560-970 - Sao Carlos, Sao Paulo, Brazil;Institute of Mathematical and Computer Sciences - University of Sao Paulo., Av. Trabalhador Sao-Carlense, 400 - 13560-970 - Sao Carlos, Sao Paulo, Brazil

  • Venue:
  • Design and application of hybrid intelligent systems
  • Year:
  • 2003

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Abstract

When Case Based Reasoning systems are applied to real-world problems, the retrieved solutions in general require adaptations in order to be used on new contexts. Therefore, case adaptation is a desirable capability. However, case adaptation is still a challenge for this research area. In general, the the achievement of knowledge for case adaptation is harder than acquisition of cases. This paper proposes a hybrid approach for case adaptation able to learn adaptation knowledge from a Case Base.