Conflict-Driven Satisfiability for Theory Combination: Lemmas, Modules, and Proofs
Abstract

Search-based satisfiability procedures try to build a model of the input formula by simultaneously proposing candidate models and deriving new formulae implied by the input.Conflict-drivenprocedures perform non-trivial inferences only when resolving conflicts between formulæ and assignments representing the candidate model. CDSAT (Conflict-Driven SATisfiability) is a method for conflict-driven reasoning inunions of theories. It combines inference systems for individual theories astheory moduleswithin a solver for the union of the theories. This article augments CDSAT with a more generallemma learningcapability and withproof generation. Furthermore, theory modules for several theories of practical interest are shown to fulfill the requirements forcompletenessandterminationof CDSAT. Proof generation is accomplished by aproof-carryingversion of the CDSAT transition system that producesproof objectsin memory accommodating multiple proof formats. Alternatively, one can apply to CDSAT theLCF approach to proofsfrom interactive theorem proving, by defining a kernel of reasoning primitives that guarantees the correctness by construction of CDSAT proofs.

Authors:
; ;
Publication Date:
NSF-PAR ID:
10307548
Journal Name:
Journal of Automated Reasoning
Volume:
66
Issue:
1
Page Range or eLocation-ID:
p. 43-91
ISSN:
0168-7433
Publisher:
National Science Foundation
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