On First-Order Model-Based Reasoning

  • Maria Paola Bonacina
  • Ulrich Furbach
  • Viorica Sofronie-Stokkermans
Chapter
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9200)

Abstract

Reasoning semantically in first-order logic is notoriously a challenge. This paper surveys a selection of semantically-guided or model-based methods that aim at meeting aspects of this challenge. For first-order logic we touch upon resolution-based methods, tableaux-based methods, DPLL-inspired methods, and we give a preview of a new method called SGGS, for Semantically-Guided Goal-Sensitive reasoning. For first-order theories we highlight hierarchical and locality-based methods, concluding with the recent Model-Constructing satisfiability calculus.

Keywords

Prefix Alan Glean 

Notes

Acknowledgments

The first author thanks David Plaisted, for starting the research on SGGS and inviting her to join in August 2008; and Leonardo de Moura, for the discussions on MCsat at Microsoft Research in Redmond in June 2013. The third author’s work was partially supported by the German Research Council (DFG) as part of the Transregional Collaborative Research Center “Automatic Verification and Analysis of Complex Systems” (SFB/TR 14 AVACS, www.avacs.org).

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Maria Paola Bonacina
    • 1
  • Ulrich Furbach
    • 2
  • Viorica Sofronie-Stokkermans
    • 2
  1. 1.Dipartimento di InformaticaUniversità Degli Studi di VeronaVeronaItaly
  2. 2.Fachbereich InformatikUniversität Koblenz-LandauKoblenzGermany

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