Logische Programmierung und Argumentation

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Logische Programmierung und Argumentation

Die Forschungsgruppe Logische Programmierung und Argumentation an der Fakultät für Informatik und dem Institut für Künstliche Intelligenz befasst sich mit theoretischen und praktischen Aspekten der Logischen Programmierung im Speziellen mit Answer Set Programming (ASP), sowie mit Argumentations Theorie.

Neueste Publikationen

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Martin Diller, Sarah Alice Gaggl, Piotr Gorczyca
Strategies in Flexible Dispute Derivations for Assumption-Based Argumentation
Proceedings of the 4th International Workshop on Systems and Algorithms for Formal Argumentation (SAFA 2022), to appear
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Johannes Klaus Fichte, Sarah Alice Gaggl, Dominik Rusovac
Rushing and Strolling among Answer Sets – Navigation Made Easy (Extended Abstract)
In Yuliya Lierler, Jose F. Morales, Carmine Dodaro, Veronica Dahl, Martin Gebser, Tuncay Tekle, eds., Technical Communication Proceeding of the 38th International Conference on Logic Programming (ICLP 2022), volume 364 of EPTCS, 181-184, 2022. Open Publishing Association
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Sarah Alice Gaggl, Philipp Hanisch, Markus Krötzsch
Simulating Sets in Answer Set Programming
In Luc De Raedt, eds., Proceedings of the 31st International Joint Conference on Artificial Intelligence (IJCAI 2022), 2634--2640, 2022. ijcai.org
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Stefan Ellmauthaler, Sarah Alice Gaggl, Dominik Rusovac, Johannes P. Wallner
Representing Abstract Dialectical Frameworks with Binary Decision Diagrams
Proceedings of the 16th International Conference on Logic Programming and Non-monotonic Reasoning (LPNMR 2022), to appear
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Stefan Ellmauthaler, Sarah Alice Gaggl, Dominik Rusovac, Johannes P. Wallner
ADF - BDD : An ADF Solver Based on Binary Decision Diagrams
Proceedings of the 9th International Conference on Computational Models of Argument (COMMA 2022), to appear
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Nikolai Käfer, Christel Baier, Martin Diller, Clemens Dubslaff, Sarah Alice Gaggl, Holger Hermanns
Admissibility in Probabilistic Argumentation
Journal of Artificial Intelligence Research, 74:957-1004, June 2022
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Johannes Klaus Fichte, Sarah Alice Gaggl, Dominik Rusovac
Rushing and Strolling among Answer Sets - Navigation Made Easy
Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI 2022), volume 36 of 5, 5651-5659, June 2022
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Johannes Klaus Fichte, Sarah Alice Gaggl, Dominik Rusovac
Rushing and Strolling among Answer Sets - Navigation Made Easy (Extended Abstract)
KR Recently Published Research Track (KR 2022), August 2022
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Ridhwan Dewoprabowo, Johannes Klaus Fichte, Piotr Gorczyca, Markus Hecher
A Practical Account into Counting Dung’s Extensions by Dynamic Programming
Proceedings of the 16th International Conference on Logic Programming and Non-monotonic Reasoning (LPNMR 2022), to appear
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Johannes Klaus Fichte, Sarah Alice Gaggl, Markus Hecher, Dominik Rusovac
IASCAR: Incremental Answer Set Counting by Anytime Refinement
Proceedings of the 16th International Conference on Logic Programming and Non-monotonic Reasoning (LPNMR 2022), to appear
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Abgeschlossene Arbeiten

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CPEC
Grundlagen verständlicher Softwaresysteme

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NAVAS
Navigation im Lösungsraum von Answer Sets

Adf-bdd
Abstract Dialectical Frameworks mit Binary Decision Diagrammen lösen