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Associative-Commutative Rewriting on Large Terms

  • Steven Eker
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2706)

Abstract

We introduce a novel representation for associative-commutative (AC) terms which, for certain important classes of rewrite rules, allows both the AC matching and the AC renormalization steps to be accomplished using time and space that is logarithmic in the size of the flattened AC argument lists involved. This novel representation can be cumbersome for other, more general algorithms and manipulations. Hence, we describe machine efficient techniques for converting to and from a more conventional representation together with a heuristic for deciding at runtime when to convert a term to the new representation. We sketch how our approach can be generalized to order-sorted AC rewriting and to other equational theories. We also present some experimental results using the Maude 2 interpreter.

Keywords

Function Symbol Equational Theory Ground Term Large Term Maximum Multiplicity 
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 2003

Authors and Affiliations

  • Steven Eker
    • 1
  1. 1.Computer Science LaboratorySRI InternationalMenlo ParkUSA

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