Cooperation of Multiple Strategies for Automated Learning in Complex Environments

  • Floriana Esposito
  • Stefano Ferilli
  • Nicola Fanizzi
  • Teresa Maria Altomare Basile
  • Nicola Di Mauro
Conference paper

DOI: 10.1007/3-540-48050-1_61

Part of the Lecture Notes in Computer Science book series (LNCS, volume 2366)
Cite this paper as:
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

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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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Floriana Esposito
    • 1
  • Stefano Ferilli
    • 1
  • Nicola Fanizzi
    • 1
  • Teresa Maria Altomare Basile
    • 1
  • Nicola Di Mauro
    • 1
  1. 1.Dipartimento di InformaticaUniversità di BariBariItalia

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