EZSMTV3 framework advances hybrid reasoning for complex problems · 1 source tracked

A new framework called EZSMTV3 has been developed for Constraint Answer Set Programming (CASP), a hybrid reasoning paradigm combining Answer Set Programming with Constraint Processing and Satisfiability Modulo Theories (SMT). This system, EZSMTV3, is designed to be extensible and advances the translational approach to CASP solving. It utilizes existing SMT solvers like CVC5, YICES, and Z3 for reasoning, and its performance is benchmarked against other CASP systems such as CLINGCON and CLINGO[DL]. The framework supports optimization through weak constraints and is capable of handling mixed-domain constraints involving both integers and reals. AI

IMPACT Enhances declarative encoding for complex combinatorial search problems by integrating ASP with SMT solvers.

RANK_REASON The cluster contains a research paper detailing a new framework for a specific area of AI research. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

• Answer Set Programming
• CLINGCON
• CLINGO[DL]
• CLINGO[LP]
• Constraint Answer Set Programming
• Constraint Processing
• cvc5
• EZSMT+
• EZSMTV3
• Satisfiability Modulo Theories
• Yices
• Z3

• paper
• other

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