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Partial unification for graph based equational reasoning

  • Conference paper
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9th International Conference on Automated Deduction (CADE 1988)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 310))

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Abstract

The problems of mechanizing equational reasoning are discussed and two prominent approaches (E-resolution and RUE-resolution) that build equality into a resolution based calculus are evaluated. Their relative strengths and weaknesses are taken as a motivation for our own approach, whose evolution is described.

The essential idea in our equational reasoning method is to store the information about partially unified terms in a graphlike structure. This explicit representation supports a goaldirected planning approach at various levels of abstraction.

This work was supported by the Sonderforschungsbereich 314, (Artificial Intelligence) of the German Research Agency (DFG).

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Author information

Authors and Affiliations

  1. IBM Deutschland GmbH WT LILOG, Postfach 80 08 80, D-7000, Stuttgart 80, West Germany

    Karl Hans Bläsius

  2. University of Kaiserslautern FB Informatik, Postfach 3049, D-6750, Kaiserslautern, West Germany

    Jörg H. Siekmann

Authors
  1. Karl Hans Bläsius
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  2. Jörg H. Siekmann
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Editor information

Ewing Lusk Ross Overbeek

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© 1988 Springer-Verlag Berlin Heidelberg

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Bläsius, K.H., Siekmann, J.H. (1988). Partial unification for graph based equational reasoning. In: Lusk, E., Overbeek, R. (eds) 9th International Conference on Automated Deduction. CADE 1988. Lecture Notes in Computer Science, vol 310. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0012846

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  • DOI: https://doi.org/10.1007/BFb0012846

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-19343-2

  • Online ISBN: 978-3-540-39216-3

  • eBook Packages: Springer Book Archive

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