Finding Finite Models in Multi-sorted First-Order Logic
Paper in proceeding, 2016

This work extends the existing MACE-style finite model finding approach to multi-sorted first-order logic. This existing approach iteratively assumes increasing domain sizes and encodes the related ground problem as a SAT problem. When moving to the multi-sorted setting each sort may have a different domain size, leading to an explosion in the search space. This paper focusses on methods to tame that search space. The key approach adds additional information to the SAT encoding to suggest which domains should be grown. Evaluation of an implementation of techniques in the Vampire theorem prover shows that they dramatically reduce the search space and that this is an effective approach to find finite models in multi-sorted first-order logic.

Author

G. Reger

University of Manchester

M. Suda

University of Manchester

Andrei Voronkov

Chalmers, Computer Science and Engineering (Chalmers), Software Technology (Chalmers)

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

03029743 (ISSN) 16113349 (eISSN)

Vol. 9710 323-341
978-3-319-40970-2 (ISBN)

Areas of Advance

Information and Communication Technology

Subject Categories

Bioinformatics (Computational Biology)

DOI

10.1007/978-3-319-40970-2_20

ISBN

978-3-319-40970-2

More information

Latest update

2/28/2018