A Curiously Effective Backtracking Strategy for Connection Tableaux

Fuente: arXiv
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Autor principal: Färber, Michael
Formato: Preprint
Publicado: 2021
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author Färber, Michael
author_facet Färber, Michael
contents Automated proof search with connection tableaux, such as implemented by Otten's leanCoP prover, depends on backtracking for completeness. Otten's restricted backtracking strategy loses completeness, yet for many problems, it significantly reduces the time required to find a proof. I introduce a new, less restricted backtracking strategy based on the notion of exclusive cuts. I implement the strategy in a new prover called meanCoP and show that it greatly improves upon the previous best strategy in leanCoP.
format Preprint
id arxiv_https___arxiv_org_abs_2106_13722
institution arXiv
publishDate 2021
record_format arxiv
spellingShingle A Curiously Effective Backtracking Strategy for Connection Tableaux
Färber, Michael
Logic in Computer Science
F.4.1
Automated proof search with connection tableaux, such as implemented by Otten's leanCoP prover, depends on backtracking for completeness. Otten's restricted backtracking strategy loses completeness, yet for many problems, it significantly reduces the time required to find a proof. I introduce a new, less restricted backtracking strategy based on the notion of exclusive cuts. I implement the strategy in a new prover called meanCoP and show that it greatly improves upon the previous best strategy in leanCoP.
title A Curiously Effective Backtracking Strategy for Connection Tableaux
topic Logic in Computer Science
F.4.1
url https://arxiv.org/abs/2106.13722