2-ASP(Q) programs with weak constraints: Complexity and efficient implementation
About
ASP(Q) extends Answer Set Programming (ASP) with Quantifiers over answer sets. In this paper we focus on the class of ASP(Q) programs with two quantifiers and weak constraints, denoted as 2-ASP(Q)^w. 2-ASP(Q)^w is a practically relevant fragment of ASP(Q) that is expressive enough to capture optimization problems up to the class Delta_3^P. On the theoretical side, we provide a complete complexity characterization of the main computational tasks for 2-ASP(Q)^w programs, including tight completeness results and the analysis of nontrivial cases that have not been addressed in previous works. On the practical side, we introduce novel strategies for computing (optimal) quantified answer sets in the Casper system, that rely on a Counterexample-Guided Abstraction Refinement (CEGAR) technique tailored to ASP(Q). An experimental evaluation on hard benchmarks from different application domains shows that the proposed techniques are effective in practice.
Related benchmarks
| Task | Dataset | Result | Rank | |
|---|---|---|---|---|
| Optimal answer set | PAP-OPT | Solved Instances Count123 | 3 | |
| Optimal answer set | MTD | Solved Instances Count74 | 3 | |
| Optimal answer set | SMOKERS | Solved Instances99 | 3 | |
| Optimal answer set | MMC-OPT | Solved Instances44 | 3 | |
| Optimal answer set | COLORING | Solved Instances Count11 | 3 | |
| Coherence | PAP-NEC | Solved Instances282 | 2 | |
| Coherence | PAP-REL | Solved Instances294 | 2 | |
| Coherence | MMC-BOUND | Solved Instances225 | 2 | |
| Coherence | CC | Solved Instances370 | 2 |