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Finding Finite Models in Multi-Sorted First Order Logic

2016/04/27 by Giles Reger, Martin Suda, Reger, Giles +3 · 1 citation
Computer Science · #FOS: Computer and information sciences #Formal Methods in Verification #Logic in Computer Science (cs.LO) #Logic, programming, and type systems #Software Testing and Debugging Techniques

paper · pdf · doi:10.48550/arxiv.1604.08040

openalex publication_date 2016/04/27 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

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.

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