This document provides an introduction to the Answer Set Programming (ASP) tools gringo, clasp, clingo, and iclingo, developed at the University of Potsdam. The first tool, gringo, is a grounder capable of translating logic programs provided by users into equivalent propositional logic programs. The answer sets of such programs can be computed by clasp, which is a solver. The third tool, clingo, integrates the functionalities of gringo and clasp, thus, acting as a monolithic solver for user programs. Finally, iclingo extends clingo by an incremental mode that incorporates both grounding and solving. For one, this document aims at enabling ASP novices to make use of the aforementioned tools. For another, it provides a reference of their features that ASP adepts might be tempted to exploit.

References in zbMATH (referenced in 94 articles , 1 standard article )

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  1. Amendola, Giovanni; Ricca, Francesco; Truszczynski, Miroslaw: New models for generating hard random Boolean formulas and disjunctive logic programs (2020)
  2. Cabalar, Pedro; Fandinno, Jorge; Schaub, Torsten; Schellhorn, Sebastian: Gelfond-Zhang aggregates as propositional formulas (2019)
  3. Calimeri, Francesco; Ianni, Giovambattista; Pacenza, Francesco; Perri, Simona; Zangari, Jessica: Incremental answer set programming with overgrounding (2019)
  4. Cuteri, Bernardo; Dodaro, Carmine; Ricca, Francesco; Schüller, Peter: Partial compilation of ASP programs (2019)
  5. Dodaro, Carmine; Gasteiger, Philip; Reale, Kristian; Ricca, Francesco; Schekotihin, Konstantin: Debugging non-ground ASP programs: technique and graphical tools (2019)
  6. Everardo, Flavio; Janhunen, Tomi; Kaminski, Roland; Schaub, Torsten: The return of \textitxorro (2019)
  7. Gelfond, Michael; Zhang, Yuanlin: Vicious circle principle, aggregates, and formation of sets in ASP based languages (2019)
  8. Harrison, Amelia; Lifschitz, Vladimir: Relating two dialects of answer set programming (2019)
  9. Kahl, Patrick Thor; Leclerc, Anthony P.; Tran, Son Cao: A parallel memory-efficient epistemic logic program solver: harder, better, faster (2019)
  10. Lifschitz, Vladimir: Answer set programming (2019)
  11. Lifschitz, Vladimir; Lühne, Patrick; Schaub, Torsten: Verifying strong equivalence of programs in the input language of \textscgringo (2019)
  12. Alviano, Mario; Dodaro, Carmine; Järvisalo, Matti; Maratea, Marco; Previti, Alessandro: Cautious reasoning in ASP via minimal models and unsatisfiable cores (2018)
  13. Alviano, Mario; Dodaro, Carmine; Maratea, Marco: Shared aggregate sets in answer set programming (2018)
  14. Baryannis, George; Tachmazidis, Ilias; Batsakis, Sotiris; Antoniou, Grigoris; Alviano, Mario; Sellis, Timos; Tsai, Pei-Wei: A trajectory calculus for qualitative spatial reasoning using answer set programming (2018)
  15. Brewka, Gerhard; Ellmauthaler, Stefan; Gonçalves, Ricardo; Knorr, Matthias; Leite, João; Pührer, Jörg: Reactive multi-context systems: heterogeneous reasoning in dynamic environments (2018)
  16. Cabalar, Pedro; Fandinno, Jorge; Fariñas Del Cerro, Luis; Pearce, David: Functional ASP with intensional sets: application to Gelfond-Zhang aggregates (2018)
  17. Gebser, Martin; Kaminski, Roland; Kaufmann, Benjamin; Schaub, Torsten: Multi-shot ASP solving with clingo (2018)
  18. Lifschitz, V., Lühne, P., Schaub, T.: anthem: Transforming gringo Programs into First-Order Theories (Preliminary Report) (2018) arXiv
  19. Schüller, Peter; Benz, Mishal: Best-effort inductive logic programming via fine-grained cost-based hypothesis generation. The inspire system at the inductive logic programming competition (2018)
  20. Aguado, Felicidad; Cabalar, Pedro; Pérez, Gilberto; Vidal, Concepción; Diéguez, Martín: Temporal logic programs with variables (2017)

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