Mario Alviano, Carmine Dodaro, Wolfgang Faber, Nicola Leone & Francesco Ricca (2013):
WASP: A Native ASP Solver Based on Constraint Learning.
In: Proceedings of the 12th International Conference on Logic Programming and Nonmonotonic Reasoning (LPNMR 2013),
LNCS 8148.
Springer,
pp. 54–66,
doi:10.1007/978-3-642-40564-8_6.
Mutsunori Banbara, Benjamin Kaufmann, Max Ostrowski & Torsten Schaub (2017):
Clingcon: The next generation.
Theory and Practice of Logic Programming 17(4),
pp. 408–461,
doi:10.1017/S1471068417000138.
Aysu Bogatarkan & Esra Erdem (2020):
Explanation Generation for Multi-Modal Multi-Agent Path Finding with Optimal Resource Utilization using Answer Set Programming.
Theory and Practice of Logic Programming 20(6),
pp. 974–989,
doi:10.1017/S1471068420000320.
Piero A. Bonatti (1996):
Sequent Calculi for Default and Autoepistemic Logics.
In: Proceedings of the 5th International Conference on Theorem Proving with Analytic Tableaux and Related Methods (TABLEAUX 1996),
LNCS 1071.
Springer,
pp. 127–142,
doi:10.1007/3-540-61208-4_9.
Pedro Cabalar, Jorge Fandinno & Brais Muñiz (2020):
A System for Explainable Answer Set Programming.
In: Technical Communications of the 36th International Conference on Logic Programming (ICLP 2020),
EPTCS 325,
pp. 124–136,
doi:10.4204/EPTCS.325.19.
Carlos Viegas Damásio, João Moura Pires & Anastasia Analyti (2015):
Unifying Justifications and Debugging for Answer-Set Programs.
In: Technical Communications of the 31st International Conference on Logic Programming (ICLP 2015),
CEUR Workshop Proceedings 1433.
CEUR-WS.org.
Available at ceur-ws.org/Vol-1433/tc_84.pdf.
Carmine Dodaro, Philip Gasteiger, Benjamin Musitsch, Francesco Ricca & Kostyantyn M. Shchekotykhin (2015):
Interactive Debugging of Non-ground ASP Programs.
In: Proceedings of 13th International Conference on Logic Programming and Nonmonotonic Reasoning (LPNMR 2015),
LNCS 9345.
Springer,
pp. 279–293,
doi:10.1007/978-3-319-23264-5_24.
Thomas Eiter, Michael Fink, Giovambattista Ianni, Thomas Krennwallner, Christoph Redl & Peter Schüller (2016):
A model building framework for answer set programming with external computations.
Theory and Practice of Logic Programming 16(4),
pp. 418–464,
doi:10.1017/S1471068415000113.
Thomas Eiter & Tobias Geibinger (2023):
Explaining Answer-Set Programs with Abstract Constraint Atoms.
In: Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023, to appear).
Thomas Eiter, Tobias Geibinger, Nelson Higuera Ruiz & Johannes Oetsch (2023):
A Logic-based Approach to Contrastive Explainability for Neurosymbolic Visual Question Answering.
In: Proceedings of the 32rd International Joint Conference on Artificial Intelligence (IJCAI 2023, to appear).
Thomas Eiter, Georg Gottlob & Nicola Leone (1997):
Abduction from Logic Programs: Semantics and Complexity.
Theoretical Computer Science 189(1-2),
pp. 129–177,
doi:10.1016/S0304-3975(96)00179-X.
Thomas Eiter, Giovambattista Ianni & Thomas Krennwallner (2009):
Answer Set Programming: A Primer.
In: Reasoning Web.
Springer,
pp. 40–110,
doi:10.1007/978-3-642-03754-2_2.
Esra Erdem, Michael Gelfond & Nicola Leone (2016):
Applications of Answer Set Programming.
AI Magazine 37(3),
pp. 53–68,
doi:10.1609/aimag.v37i3.2678.
Wolfgang Faber, Nicola Leone & Gerald Pfeifer (2004):
Recursive Aggregates in Disjunctive Logic Programs: Semantics and Complexity.
In: Proceedings of the 9th European Conference on Logics in Artificial Intelligence (JELIA 2004),
LNCS 3229.
Springer,
pp. 200–212,
doi:10.1007/978-3-540-30227-8_19.
Andreas Falkner, Gerhard Friedrich, Konstantin Schekotihin, Richard Taupe & Erich C. Teppan (2018):
Industrial Applications of Answer Set Programming.
KI 32(2),
pp. 165–176,
doi:10.1007/s13218-018-0548-6.
Jorge Fandinno (2016):
Deriving conclusions from non-monotonic cause-effect relations.
Theory and Practice of Logic Programming 16(5-6),
pp. 670–687,
doi:10.1017/S1471068416000466.
Jorge Fandinno & Claudia Schulz (2019):
Answering the “why” in answer set programming – A survey of explanation approaches.
Theory and Practice of Logic Programming 19(2),
pp. 114–203,
doi:10.1017/S1471068418000534.
Martin Gebser, Roland Kaminski, Benjamin Kaufmann, Max Ostrowski, Torsten Schaub & Philipp Wanko (2016):
Theory Solving Made Easy with Clingo 5.
In: Technical Communications of the 32nd International Conference on Logic Programming (ICLP 2016),
OASIcs 52.
Schloss Dagstuhl–Leibniz-Zentrum fuer Informatik,
pp. 2:1–2:15,
doi:10.4230/OASIcs.ICLP.2016.2.
Martin Gebser, Roland Kaminski, Benjamin Kaufmann & Torsten Schaub (2013):
Answer Set Solving in Practice.
Springer,
doi:10.1007/978-3-031-01561-8.
Martin Gebser, Roland Kaminski, Benjamin Kaufmann & Torsten Schaub (2014):
Clingo = ASP + Control: Preliminary Report.
CoRR abs/1405.3694.
Available at arxiv.org/abs/1405.3694.
Martin Gebser, Jörg Pührer, Torsten Schaub & Hans Tompits (2008):
A Meta-Programming Technique for Debugging Answer-Set Programs.
In: Proceedings of the 23rd AAAI Conference on Artificial Intelligence (AAAI 2008).
AAAI Press,
pp. 448–453.
Available at www.aaai.org/Library/AAAI/2008/aaai08-071.php.
Joohyung Lee & Yi Wang (2016):
Weighted Rules under the Stable Model Semantics.
In: Proceedings of the 15th International Conference on Principles of Knowledge Representation and Reasoning (KR 2016).
AAAI Press,
pp. 145–154.
Available at www.aaai.org/ocs/index.php/KR/KR16/paper/view/12901.
Peter Lipton (1990):
Contrastive Explanation.
Royal Institute of Philosophy Supplement 27,
pp. 247–266,
doi:10.1017/S1358246100005130.
Victor W. Marek & Miroslaw Truszczynski (2004):
Logic Programs with Abstract Constraint Atoms.
In: Proceedings of the 19th National Conference on Artificial Intelligence (AAAI 2004).
AAAI Press / The MIT Press,
pp. 86–91.
Available at www.aaai.org/Library/AAAI/2004/aaai04-014.php.
Joao Marques-Silva (2023):
Logic-Based Explainability in Machine Learning.
In: Leopoldo Bertossi & Guohui Xiao: Reasoning Web. Causality, Explanations and Declarative Knowledge.
Springer Nature Switzerland,
Cham,
pp. 24–104,
doi:10.1007/978-3-031-31414-8_2.
Tim Miller (2019):
Explanation in artificial intelligence: Insights from the social sciences.
Artificial Intelligence 267,
pp. 1–38,
doi:10.1016/j.artint.2018.07.007.
Johannes Oetsch, Jörg Pührer & Hans Tompits (2010):
Catching the Ouroboros: On debugging non-ground answer-set programs.
Theory and Practice of Logic Programming 10(4-6),
pp. 513–529,
doi:10.1017/S1471068410000256.
Johannes Oetsch, Jörg Pührer & Hans Tompits (2018):
Stepwise debugging of answer-set programs.
Theory and Practice of Logic Programming 18(1),
pp. 30–80,
doi:10.1017/S1471068417000217.
David Pearce (2006):
Equilibrium logic.
Annals of Mathematics and Artificial Intelligence 47,
pp. 3–41,
doi:10.1007/s10472-006-9028-z.
David Pearce, Inman P. de Guzmán & Agustín Valverde (2000):
A Tableau Calculus for Equilibrium Entailment.
In: Proceedings of the 9th International Conference on Automated Reasoning with Analytic Tableaux and Related Methods (TABLEAUX 2000),
LNCS 1847.
Springer,
pp. 352–367,
doi:10.1007/10722086_28.
David Pearce & Agustín Valverde (2001):
Abduction in equilibrium logic.
In: Proceeding of the 1st International Answer Set Programming Workshop (ASP 2001).
Available at http://www.cs.nmsu.edu/%7Etson/ASP2001/23.ps.
Enrico Pontelli, Tran Cao Son & Omar Elkhatib (2009):
Justifications for logic programs under answer set semantics.
Theory and Practice of Logic Programming 9(1),
pp. 1–56,
doi:10.1017/S1471068408003633.
Zeynep G. Saribatur, Thomas Eiter & Peter Schüller (2021):
Abstraction for non-ground answer set programs.
Artificial Intelligence 300,
pp. 103563,
doi:10.1016/j.artint.2021.103563.
Ly Ly T. Trieu, Tran Cao Son & Marcello Balduccini (2021):
exp(ASPc) : Explaining ASP Programs with Choice Atoms and Constraint Rules.
In: Technical Communications of the 37th International Conference on Logic Programming (ICLP 2021),
EPTCS 345,
pp. 155–161,
doi:10.4204/EPTCS.345.28.
Ly Ly T. Trieu, Tran Cao Son & Marcello Balduccini (2022):
xASP: An Explanation Generation System for Answer Set Programming.
In: Proceddings of the 16th International Conference on Logic Programming and Nonmonotonic Reasoning (LPNMR 2022),
LNCS 13416.
Springer,
pp. 363–369,
doi:10.1007/978-3-031-15707-3_28.
Carlos Viegas Damásio, Anastasia Analyti & Grigoris Antoniou (2013):
Justifications for Logic Programming.
In: Proceedings of the 12th International Conference on Logic Programming and Nonmonotonic Reasoning (LPNMR 2013),
LNCS 8148.
Springer,
pp. 530–542,
doi:10.1007/978-3-642-40564-8_53.
Yisong Wang, Thomas Eiter, Yuanlin Zhang & Fangzhen Lin (2022):
Witnesses for Answer Sets of Logic Programs.
ACM Transactions on Computational Logic,
doi:10.1145/3568955.
Zhun Yang, Adam Ishay & Joohyung Lee (2020):
NeurASP: Embracing neural networks into answer set programming.
In: Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI 2020),
pp. 1755–1762,
doi:10.24963/ijcai.2020/243.