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An Universal Resolving Algorithm for Inverse Computation of Lazy Languages

  • Sergei Abramov
  • Robert Glück
  • Yuri Klimov
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4378)

Abstract

The Universal Resolving Algorithm was originally formulated for inverse computation of tail-recursive programs. We present an extension to general recursion that improves the efficiency and termination of inverse computation because partially produced output is used to reduce the search space. In addition, we present a transformation using a new unification-based equality operator. Examples demonstrate the advantages of the new technique. We found that these extensions can also improve inverse computation in the context of functional-logic languages.

Keywords

Search Space Logic Program Logic Programming Operational Semantic Equality Test 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Sergei Abramov
    • 1
  • Robert Glück
    • 2
  • Yuri Klimov
    • 3
  1. 1.Program Systems Institute, Russian Academy of Sciences, RU-152140 Pereslavl-ZalesskyRussia
  2. 2.DIKU, Department of Computer Science, University of Copenhagen, DK-2100 CopenhagenDenmark
  3. 3.M.V. Keldysh Institute for Applied Mathematics, Russian Academy of Sciences, RU-125047 MoscowRussia

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