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A Note on Symmetry Heuristics in SEM

  • Thierry Boy de la Tour
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2392)

Abstract

We analyse two symmetry heuristics, i.e. heuristics that reduce the search space through properties of symmetry, in the finite model generator SEM. These are SEM’s original LNH, and a recent extension XLNH. Our aim is to show how a simple group-theoretic framework brings much clarity in this matter, especially through group actions. Both heuristics can be seen as computationally efficient ways of applying a general symmetry pruning theorem. Moreover, simple combinatorics provide some insight into the relative performances of these heuristics. We finally expose a fundamental difficulty in making SEM symmetry efficient by symmetry pruning.

Keywords

Search Tree Partial Function Partial Evaluation Predicate Symbol Bijective Function 
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 2002

Authors and Affiliations

  • Thierry Boy de la Tour
    • 1
  1. 1.LEIBNIZ - IMAGGrenoble CedexFrance

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