The SCIFF abductive proof-procedure

  • Authors:
  • Marco Alberti;Marco Gavanelli;Evelina Lamma;Paola Mello;Paolo Torroni

  • Affiliations:
  • ENDIF, Università di Ferrara;ENDIF, Università di Ferrara;ENDIF, Università di Ferrara;DEIS, Università di Bologna;DEIS, Università di Bologna

  • Venue:
  • AI*IA'05 Proceedings of the 9th conference on Advances in Artificial Intelligence
  • Year:
  • 2005

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Abstract

We propose an operational framework which builds on the classical understanding of abductive reasoning in logic programming, and extends it in several directions. The new features include the ability to reason with a dynamic knowledge base, where new facts can be added anytime, the ability to generate expectations about such new facts occurring in the future (forecasting), and the process of confirmation/disconfirmation of such expectations.