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EZSMTV3 Advances Constraint Answer Set Programming with SMT Solvers.

Yuliya Lierler· July 16, 2026 View original

Key takeaways

  • EZSMTV3 is a new, extensible framework for Constraint Answer Set Programming.
  • It integrates state-of-the-art SMT solvers for efficient problem-solving.
  • The system supports expressive languages, optimization, and mixed-domain constraints.
  • It offers a robust platform for complex combinatorial search problems.

Who benefits

LogisticsManufacturingSoftware EngineeringAI/ML Research

Summary

EZSMTV3 is a new extensible framework for Constraint Answer Set Programming (CASP) that integrates state-of-the-art Satisfiability Modulo Theories (SMT) solvers. It offers an expressive input language, supports optimization, and simplifies the addition of new constraint types for complex combinatorial problems.

EZSMTV3 represents a significant evolution in Constraint Answer Set Programming (CASP), a powerful method for solving complex combinatorial search problems by combining declarative programming with constraint processing. This new version enhances the translational approach to CASP, leveraging advanced SMT solvers like CVC5, YICES, and Z3 instead of custom search algorithms. A key improvement is its streamlined architecture, which facilitates the integration of diverse constraint types, including those involving both integers and real numbers. Benchmarking results indicate that EZSMTV3 performs competitively against other CASP systems such as CLINGCON and CLINGO variants, demonstrating its robustness and potential for future expansion and theoretical research in the CASP domain.

Why it matters

Professionals working with complex scheduling, resource allocation, or verification problems can leverage this advanced tool to model and solve intricate constraints more efficiently and declaratively.

How to implement this in your domain

  1. 1Explore EZSMTV3's documentation to understand its new input language and features.
  2. 2Experiment with modeling a specific combinatorial optimization problem using the framework.
  3. 3Integrate EZSMTV3 with existing SMT solvers like Z3 or CVC5 for enhanced performance.
  4. 4Evaluate its effectiveness against current constraint programming solutions in your domain.

Original post by Yuliya Lierler

"arXiv:2607.13344v1 Announce Type: new Abstract: Constraint Answer Set Programming (CASP) is a hybrid reasoning paradigm that combines Answer Set Programming (ASP) with Constraint Processing and Satisfiability Modulo Theories (SMT), enabling powerful declarative encodings of compl…"

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