Multistrategy Theory Revision: Induction and Abduction in INTHELEX

@article{Esposito2000MultistrategyTR,
  title={Multistrategy Theory Revision: Induction and Abduction in INTHELEX},
  author={Floriana Esposito and Giovanni Semeraro and Nicola Fanizzi and Stefano Ferilli},
  journal={Machine Learning},
  year={2000},
  volume={38},
  pages={133-156}
}
This paper presents an integration of induction and abduction in INTHELEX, a prototypical incremental learning system. The refinement operators perform theory revision in a search space whose structure is induced by a quasi-ordering, derived from Plotkin's θ-subsumption, compliant with the principle of Object Identity. A reduced complexity of the refinement is obtained, without a major loss in terms of expressiveness. These inductive operators have been proven ideal for this search space… CONTINUE READING

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Towards Multistrategic Statistical Relational Learning

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