Abstract
This work presents a new version of the incremental learning system INTHELEX, whose multistrategy learning capabilities have been further enhanced. To improve effectiveness and efficiency of the learning process, pure induction and abduction have been augmented with abstraction and deduction. Some results proving the benefits that the addition of each strategy can bring are also reported. INTHELEX will be the learning component in the architecture of the EU project COLLATE, dealing with cultural heritage documents.
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Esposito, F., Ferilli, S., Fanizzi, N., Basile, T.M.A., Di Mauro, N. (2002). Cooperation of Multiple Strategies for Automated Learning in Complex Environments. In: Hacid, MS., Raś, Z.W., Zighed, D.A., Kodratoff, Y. (eds) Foundations of Intelligent Systems. ISMIS 2002. Lecture Notes in Computer Science(), vol 2366. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48050-1_61
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DOI: https://doi.org/10.1007/3-540-48050-1_61
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