2 Search Results for "Geser, Alfons"


Document
Simulating Dependency Pairs by Semantic Labeling

Authors: Teppei Saito and Nao Hirokawa

Published in: LIPIcs, Volume 299, 9th International Conference on Formal Structures for Computation and Deduction (FSCD 2024)


Abstract
We show that termination proofs by a version of the dependency pair method can be simulated by semantic labeling plus multiset path orders. By incorporating a flattening technique into multiset path orders the simulation result can be extended to the dependency pair method for relative termination, introduced by Iborra et al. This result allows us to improve applicability of their dependency pair method.

Cite as

Teppei Saito and Nao Hirokawa. Simulating Dependency Pairs by Semantic Labeling. In 9th International Conference on Formal Structures for Computation and Deduction (FSCD 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 299, pp. 13:1-13:20, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)


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@InProceedings{saito_et_al:LIPIcs.FSCD.2024.13,
  author =	{Saito, Teppei and Hirokawa, Nao},
  title =	{{Simulating Dependency Pairs by Semantic Labeling}},
  booktitle =	{9th International Conference on Formal Structures for Computation and Deduction (FSCD 2024)},
  pages =	{13:1--13:20},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-323-2},
  ISSN =	{1868-8969},
  year =	{2024},
  volume =	{299},
  editor =	{Rehof, Jakob},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.FSCD.2024.13},
  URN =		{urn:nbn:de:0030-drops-203423},
  doi =		{10.4230/LIPIcs.FSCD.2024.13},
  annote =	{Keywords: Term rewriting, Relative termination, Semantic labeling, Dependency pairs}
}
Document
Sparse Tiling Through Overlap Closures for Termination of String Rewriting

Authors: Alfons Geser, Dieter Hofbauer, and Johannes Waldmann

Published in: LIPIcs, Volume 131, 4th International Conference on Formal Structures for Computation and Deduction (FSCD 2019)


Abstract
A strictly locally testable language is characterized by its set of admissible factors, prefixes and suffixes, called tiles. We over-approximate reachability sets in string rewriting by languages defined by sparse sets of tiles, containing only those that are reachable in derivations. Using the partial algebra defined by a tiling for semantic labeling, we obtain a transformational method for proving local termination. These algebras can be represented efficiently as finite automata of a certain shape. Using a known result on forward closures, and a new characterisation of overlap closures, we can automatically prove termination and relative termination, respectively. We report on experiments showing the strength of the method.

Cite as

Alfons Geser, Dieter Hofbauer, and Johannes Waldmann. Sparse Tiling Through Overlap Closures for Termination of String Rewriting. In 4th International Conference on Formal Structures for Computation and Deduction (FSCD 2019). Leibniz International Proceedings in Informatics (LIPIcs), Volume 131, pp. 21:1-21:21, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)


Copy BibTex To Clipboard

@InProceedings{geser_et_al:LIPIcs.FSCD.2019.21,
  author =	{Geser, Alfons and Hofbauer, Dieter and Waldmann, Johannes},
  title =	{{Sparse Tiling Through Overlap Closures for Termination of String Rewriting}},
  booktitle =	{4th International Conference on Formal Structures for Computation and Deduction (FSCD 2019)},
  pages =	{21:1--21:21},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-107-8},
  ISSN =	{1868-8969},
  year =	{2019},
  volume =	{131},
  editor =	{Geuvers, Herman},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.FSCD.2019.21},
  URN =		{urn:nbn:de:0030-drops-105282},
  doi =		{10.4230/LIPIcs.FSCD.2019.21},
  annote =	{Keywords: relative termination, semantic labeling, locally testable language, overlap closure}
}
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