Assessing confidence in cased based reuse step

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Catalan Conference on Artificial Intelligence (CCIA)





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Case-Based Reasoning (CBR) is a learning approach that solves current situations by reusing previous solutions that are stored in a case base. In the CBR cycle the reuse step plays an important role into the problem solving process, since the solution for a new problem is based in the available solutions of the retrieved cases. In classification tasks a trivial reuse method is commonly used, which takes into account the most frequently solution proposed by the set of retrieved cases. We propose an alternative reuse process; we call confidence-reuse method, which make a qualitative assessment of the information retrieved. This approach is focused on measuring the solution accuracy, applying some confidence predictors based in a k-NN classifier with the aim of analyzing and evaluating the information offered by the retrieved cases.


artificial intelligence.

Scientific reference

F.A. García, F.J. Orozco, J. Gonzàlez and J.L. Arcos. Assessing confidence in cased based reuse step, 10th Catalan Conference on Artificial Intelligence, 2007, Sant Julià de Lòria, Andorra, in Artificial Intelligence Research and Development, Vol 163 of Frontiers in Artificial Intelligence and Applications, pp. 161-168, 2007, IOS Press.