ASP-FZN: A Translation-based Constraint Answer Set Solver

Thomas Eiter, Tobias Geibinger, Tobias Kaminski, Nysret Musliu, Johannes Oetsch
7/30/2025
cs.AI

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Abstract

We present the solver asp-fzn for Constraint Answer Set Programming (CASP), which extends ASP with linear constraints. Our approach is based on translating CASP programs into the solver-independent FlatZinc language that supports several Constraint Programming and Integer Programming backend solvers. Our solver supports a rich language of linear constraints, including some common global constraints. As for evaluation, we show that asp-fzn is competitive with state-of-the-art ASP solvers on benchmarks taken from past ASP competitions. Furthermore, we evaluate it on several CASP problems from the literature and compare its performance with clingcon, which is a prominent CASP solver that supports most of the asp-fzn language. The performance of asp-fzn is very promising as it is already competitive on plain ASP and even outperforms clingcon on some CASP benchmarks.

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Cite this paper

@article{eiter2025aspfzn,
  title  = {ASP-FZN: A Translation-based Constraint Answer Set Solver},
  author = {Thomas Eiter and Tobias Geibinger and Tobias Kaminski and Nysret Musliu and Johannes Oetsch},
  year   = {2025},
  eprint = {2507.22774},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2507.22774v3}
}

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