System ASPMT2SMT:Computing ASPMT Theories by SMT Solvers
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Abstract (arXiv)
Answer Set Programming Modulo Theories (ASPMT) is an approach to combining answer set programming and satisfiability modulo theories based on the functional stable model semantics. It is shown that the tight fragment of ASPMT programs can be turned into SMT instances, thereby allowing SMT solvers to compute stable models of ASPMT programs. In this paper we present a compiler called sc aspsmt2smt, which implements this translation. The system uses ASP grounder sc gringo and SMT solver sc z3. sc gringo partially grounds input programs while leaving some variables to be processed by sc z3. We demonstrate that the system can effectively handle real number computations for reasoning about continuous changes.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 0 of its 15 references that are in the map. First posted on arXiv 12 Jun 2025.
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- 2026Logic, Optimization, and Artificial Intelligencecited by 0
- 2026Logic, Optimization, and Artificial Intelligence17 Jul 2026