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Extraction of Expansion Trees

We define a new method for proof mining by CERES (cut-elimination by resolution) that is concerned with the extraction of expansion trees in first-order logic (see Miller in Stud Log 46(4):347–370, 1987) with equality. In the original CERES method expansion trees can be extracted from proofs in norm...

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Detalles Bibliográficos
Autores principales: Leitsch, Alexander, Lolic, Anela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6380194/
https://www.ncbi.nlm.nih.gov/pubmed/30862992
http://dx.doi.org/10.1007/s10817-018-9453-9
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author Leitsch, Alexander
Lolic, Anela
author_facet Leitsch, Alexander
Lolic, Anela
author_sort Leitsch, Alexander
collection PubMed
description We define a new method for proof mining by CERES (cut-elimination by resolution) that is concerned with the extraction of expansion trees in first-order logic (see Miller in Stud Log 46(4):347–370, 1987) with equality. In the original CERES method expansion trees can be extracted from proofs in normal form (proofs without quantified cuts) as a post-processing of cut-elimination. More precisely they are extracted from an ACNF, a proof with at most atomic cuts. We define a novel method avoiding proof normalization and show that expansion trees can be extracted from the resolution refutation and the corresponding proof projections. We prove that the new method asymptotically outperforms the standard method (which first computes the ACNF and then extracts an expansion tree). Finally we compare an implementation of the new method with the old one; it turns out that the new method is also more efficient in our experiments.
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spelling pubmed-63801942019-03-10 Extraction of Expansion Trees Leitsch, Alexander Lolic, Anela J Autom Reason Article We define a new method for proof mining by CERES (cut-elimination by resolution) that is concerned with the extraction of expansion trees in first-order logic (see Miller in Stud Log 46(4):347–370, 1987) with equality. In the original CERES method expansion trees can be extracted from proofs in normal form (proofs without quantified cuts) as a post-processing of cut-elimination. More precisely they are extracted from an ACNF, a proof with at most atomic cuts. We define a novel method avoiding proof normalization and show that expansion trees can be extracted from the resolution refutation and the corresponding proof projections. We prove that the new method asymptotically outperforms the standard method (which first computes the ACNF and then extracts an expansion tree). Finally we compare an implementation of the new method with the old one; it turns out that the new method is also more efficient in our experiments. Springer Netherlands 2018-01-27 2019 /pmc/articles/PMC6380194/ /pubmed/30862992 http://dx.doi.org/10.1007/s10817-018-9453-9 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Article
Leitsch, Alexander
Lolic, Anela
Extraction of Expansion Trees
title Extraction of Expansion Trees
title_full Extraction of Expansion Trees
title_fullStr Extraction of Expansion Trees
title_full_unstemmed Extraction of Expansion Trees
title_short Extraction of Expansion Trees
title_sort extraction of expansion trees
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6380194/
https://www.ncbi.nlm.nih.gov/pubmed/30862992
http://dx.doi.org/10.1007/s10817-018-9453-9
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