Abstract
The number of researches on hybrid models has been grown significantly in the last years, both in the development of intelligent systems and in the study of cognitive models. The integration of Case Based Reasoning and Artificial Neural Networks has received large attention by the area of neurosymbolic models. This paper proposes a new Case Based Reasoning approach using hybrid mechanisms for case retrieval and adaptation.
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Policastro, C.A., Carvalho, A.C.P.L.F., Delbem, A.C.B. (2003). Hybrid Approaches for Case Retrieval and Adaptation. In: Günter, A., Kruse, R., Neumann, B. (eds) KI 2003: Advances in Artificial Intelligence. KI 2003. Lecture Notes in Computer Science(), vol 2821. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39451-8_22
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DOI: https://doi.org/10.1007/978-3-540-39451-8_22
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