WASP

WASP: a native ASP solver based on constraint learning. This paper introduces WASP, an ASP solver handling disjunctive logic programs under the stable model semantics. WASP implements techniques originally introduced for SAT solving that have been extended to cope with ASP programs. Among them are restarts, conflict-driven constraint learning and backjumping. Moreover, WASP combines these SAT-based techniques with optimization methods that have been specifically designed for ASP computation, such as source pointers enhancing unfounded-sets computation, forward and backward inference operators based on atom support, and techniques for stable model checking. Concerning the branching heuristics, WASP adopts the BerkMin criterion hybridized with look-ahead techniques. The paper also reports on the results of experiments, in which WASP has been run on the system track of the third ASP Competition.


References in zbMATH (referenced in 51 articles , 1 standard article )

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  1. Bertolucci, Riccardo; Capitanelli, Alessio; Dodaro, Carmine; Leone, Nicola; Maratea, Marco; Mastrogiovanni, Fulvio; Vallati, Mauro: Manipulation of articulated objects using dual-arm robots via answer set programming (2021)
  2. Calimeri, Francesco; Cauteruccio, Francesco; Cinelli, Luca; Marzullo, Aldo; Stamile, Claudio; Terracina, Giorgio; Durand-Dubief, Françoise; Sappey-Marinier, Dominique: A logic-based framework leveraging neural networks for studying the evolution of neurological disorders (2021)
  3. Alviano, Mario; Dodaro, Carmine: Unsatisfiable core analysis and aggregates for optimum stable model search (2020)
  4. Amendola, Giovanni; Ricca, Francesco; Truszczynski, Miroslaw: New models for generating hard random Boolean formulas and disjunctive logic programs (2020)
  5. Bichler, Manuel; Morak, Michael; Woltran, Stefan: selp: a single-shot epistemic logic program solver (2020)
  6. Bomanson, Jori; Janhunen, Tomi: Boosting answer set optimization with weighted comparator networks (2020)
  7. Calimeri, Francesco; Dodaro, Carmine; FuscĂ , Davide; Perri, Simona; Zangari, Jessica: Technical note. Efficiently coupling the (\mathscrI)-DLV grounder with ASP solvers (2020)
  8. Dodaro, Carmine; Eiter, Thomas; Ogris, Paul; Schekotihin, Konstantin: Managing caching strategies for stream reasoning with reinforcement learning (2020)
  9. Dodaro, Carmine; Ricca, Francesco: The external interface for extending WASP (2020)
  10. Gebser, Martin; Maratea, Marco; Ricca, Francesco: The Seventh Answer Set Programming Competition: design and results (2020)
  11. Ianni, Giovambattista; Pacenza, Francesco; Zangari, Jessica: Incremental maintenance of overgrounded logic programs with tailored simplifications (2020)
  12. Weinzierl, Antonius; Taupe, Richard; Friedrich, Gerhard: Advancing lazy-grounding ASP solving techniques -- restarts, phase saving, heuristics, and more (2020)
  13. Alviano, Mario; Amendola, Giovanni; Dodaro, Carmine; Leone, Nicola; Maratea, Marco; Ricca, Francesco: Evaluation of disjunctive programs in WASP (2019)
  14. Alviano, Mario; Dodaro, Carmine; Fichte, Johannes K.; Hecher, Markus; Philipp, Tobias; Rath, Jakob: Inconsistency proofs for ASP: the ASP-DRUPE format (2019)
  15. Alviano, Mario; Faber, Wolfgang: Chain answer sets for logic programs with generalized atoms (2019)
  16. Alviano, Mario; Leone, Nicola; Veltri, Pierfrancesco; Zangari, Jessica: Enhancing magic sets with an application to ontological reasoning (2019)
  17. Amendola, Giovanni; Dodaro, Carmine; Maratea, Marco: Abstract solvers for computing cautious consequences of ASP programs (2019)
  18. Amendola, Giovanni; Dodaro, Carmine; Ricca, Francesco: Better paracoherent answer sets with less resources (2019)
  19. Amendola, Giovanni; Ricca, Francesco; Truszczynski, Miroslaw: Beyond NP: quantifying over answer sets (2019)
  20. Calimeri, Francesco; Ianni, Giovambattista; Pacenza, Francesco; Perri, Simona; Zangari, Jessica: Incremental answer set programming with overgrounding (2019)

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