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Infinitary term rewriting implemented: Computing with infinite terms and infinite reductions in Haskell
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jeroenk/iTRSsImplemented
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Introduction ------------ This package provides an effective version of infinitary term rewriting, as described in "Computing with Infinite Terms and Infinite Reductions" by Jeroen Ketema and Jakob Grue Simonsen. The Haskell code in this package has been tested with version 8.0.2 of the Glasgow Haskell Compiler (GHC). To obtain GHC, it is best to install the Haskell Platform: http://hackage.haskell.org/platform/ Usage ----- To experiment, execute the interpreter supplied with GHC (ghci) with either: * IntroductionExample.hs (for the example from the Introduction), * CompressionExamples.hs (for the compression theorem), * ConfluenceExamples.hs (for the confluence theorem), or * ChurchRosserExamples.hs (for the Church-Rosser property). Then, input the examples as described in the comments of the .hs files. Structure --------- The code has been split in several files whose contents should be mostly obvious from the file names, or otherwise from the initial comments in each of the files. Note that there are a few minor differences compared to the paper: * Signatures are sets with an arity function instead of sets of pairs. * Terms are represented by a recursive data type instead of partial functions. * Rewrite systems are objects with a rule function instead of a rule set. * The implementation of Lemma 8.4 does not compute needed reductions to avoid duplicating computation of these reductions, instead these reductions are passed in as parameters. * To avoid clutter, rewrite systems are omitted as input parameters except in the top-level functions defining compression, the Strip Lemma, confluence, and the Church-Rosser property. * In several places only the steps of finite reductions are passed instead of both a sequence of terms and a sequence of steps. Steps suffice in these places. * Extraction of steps from a computably strongly convergent reduction exploits the fact that the assumed systems of notation have a less then or equal operator. As reductions are usually represented by lists, this leads to slightly more efficient code: Instead of having to work backwards through a list of steps from some ordinal determined by the modulus we can go forwards (see "select" in SystemOfNotation.hs). Correspondence with the Paper ----------------------------- The correspondence between the Turing machines defined in the the paper and the functions as present in the code is as follows: Example 3.6 : rationalTerm in RationalTerm.hs Lemma 3.10 : substitute in Substitution.hs Proposition 3.12 : subterm in PositionAndSubterm.hs Lemma 4.2 : rewriteStep in RuleAndSystem.hs Remark 5.6 : ordLimitPred in SystemOfNotation.hs Remark 5.10 : finalTerm in Reduction.hs Proposition 7.4 : descendantsAcrossStep in RuleAndSystem.hs Lemma 7.7 : origins in Reduction.hs Lemma 7.11 : neededSteps in Reduction.hs Lemma 7.12 : descendants in Reduction.hs Proposition 7.16 : neededReduction in Reduction.hs Proposition 8.3 : limitedPermute in ParallelReduction.hs Lemma 8.4 : filterSteps in ParallelReduction.hs Lemma 8.5 : parallelNeededSteps in ParallelReduction.hs Lemma 8.6 : diamondProperty in ParallelReduction.hs Theorem 9.1 : compression in Compression.hs Theorem 10.1 : confluence in Confluence.hs Lemma 10.2 : stripLemma in StripLemma.hs Lemma 10.4 : confluenceSide in Confluence.hs Theorem 10.5 : churchRosser in ChurchRosser.hs Lemma 10.6 : interleave in ChurchRosser.hs (End of README)
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