Abstract
FORSETI is a system that uses Case-Based Reasoning applied to Criminal law. It has two functional modes: the expert mode and the tutorial mode. The first mode makes use of its knowledge in order to resolve new cases, i.e. to determine a sentence (imprisonment, delay before request for parole, etc.). Canadian jurisprudence of similar cases to the one presented constitutes the basis for FORSETI’s judgement. An expert may also consult the case base in order to corroborate the result obtained and supply the base with new cases. The second mode is an educational tool for professionals in Criminal law. In virtue of this mode, two types of exercises are possible. The first one focuses on developing the user’s judgement in determining sentences and the second one on improving his jurisprudence analysis. FORSETI uses an experimental method for adaptation that we call planar interpolation. The goal of this method is to improve the level of consistency in the knowledge base and produce significant results in adaptation of new cases.
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© 1999 Springer-Verlag Berlin Heidelberg
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Bélanger, S., Thibodeau, MA., Aïmeur, E. (1999). Training of the Learner in Criminal Law by Case-Based Reasoning. In: Imam, I., Kodratoff, Y., El-Dessouki, A., Ali, M. (eds) Multiple Approaches to Intelligent Systems. IEA/AIE 1999. Lecture Notes in Computer Science(), vol 1611. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-48765-4_44
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DOI: https://doi.org/10.1007/978-3-540-48765-4_44
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