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  A PLTL-Prover Based on Labelled Superposition with Partial Model Guidance

Suda, M., & Weidenbach, C. (2012). A PLTL-Prover Based on Labelled Superposition with Partial Model Guidance. In B. Gramlich, D. Miller, & U. Sattler (Eds.), Automated Reasoning (pp. 537-543). Berlin: Springer.

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Genre: Conference Paper
Latex : A {PLTL}-Prover Based on Labelled Superposition with Partial Model Guidance

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 Creators:
Suda, Martin1, Author           
Weidenbach, Christoph1, Author           
Affiliations:
1Automation of Logic, MPI for Informatics, Max Planck Society, ou_1116545              

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 Abstract: Labelled superposition (LPSup) is a new calculus for PLTL. One of its distinguishing features, in comparison to other resolution-based approaches, is its ability to construct partial models on the fly. We use this feature to design a new decision procedure for the logic, where the models are effectively used to guide the search. On a representative set of benchmarks, our implementation is then shown to considerably advance the state of the art.

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Language(s): eng - English
 Dates: 2012
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1007/978-3-642-31365-3_42
BibTex Citekey: SudaWeidenbachIJCAR2012
Other: Local-ID: BED98A2F132CC156C1257AD10038A23D-SudaWeidenbachIJCAR2012
 Degree: -

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Title: 6th International Joint Conference on Automated Reasoning
Place of Event: Manchester, UK
Start-/End Date: 2012-06-26 - 2012-06-29

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Title: Automated Reasoning
  Subtitle : 6th International Joint Conference, IJCAR 2012, Manchester, UK, June 26-29, 2012. Proceedings
  Abbreviation : IJCAR 2012
Source Genre: Proceedings
 Creator(s):
Gramlich, Bernhard1, Editor
Miller, Dale1, Editor
Sattler, Uli1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Berlin : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 537 - 543 Identifier: ISBN: 978-3-642-31364-6

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Title: Lecture Notes in Artificial Intelligence
  Abbreviation : LNAI
Source Genre: Series
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Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 7364 Sequence Number: - Start / End Page: - Identifier: ISSN: 0302-9743