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The different roles of abstraction in abductive reasoning

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Book cover Topics in Artificial Intelligence (AI*IA 1995)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 992))

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Abstract

The use of knowledge at different levels of abstraction can be proposed to make automated abduction more flexible. This paper analyzes several declarative and computational ways of exploiting abstractions in abduction, including the definition and implementation of preference criteria for explanations based on abstraction, and the use of abstractions to focus the explanation process.

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References

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Author information

Author notes

  1. Mauro Rossotto

    Present address: Artificial Intelligence Research Unit, CSELT, Torino, Italy

Authors and Affiliations

  1. Dipartimento di Informatica, Universitá di Torino, Corso Svizzera 185, 10149, Torino, Italy

    Daniele Theseider Dupré & Mauro Rossotto

Authors
  1. Daniele Theseider Dupré
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  2. Mauro Rossotto
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Marco Gori Giovanni Soda

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© 1995 Springer-Verlag Berlin Heidelberg

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Dupré, D.T., Rossotto, M. (1995). The different roles of abstraction in abductive reasoning. In: Gori, M., Soda, G. (eds) Topics in Artificial Intelligence. AI*IA 1995. Lecture Notes in Computer Science, vol 992. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60437-5_20

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  • DOI: https://doi.org/10.1007/3-540-60437-5_20

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-60437-2

  • Online ISBN: 978-3-540-47468-5

  • eBook Packages: Springer Book Archive

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