Non-Monotonic Reasoning

From International Center for Computational Logic
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Non-Monotonic Reasoning

Entailment in classical logics (e.g. first-order predicate logic) is montone, that is, if a formula F follows from a set S of formulas, then F also follows from any superset of S.

Non-monotonic reasoning is concerned with entailment relations that do not satisfy monotonicity. Such relations can be used to model default assumptions (such as “delivery is free of charge unless stated otherwise”), rules with exceptions (e.g. “birds typically fly, but penguins do not fly”) or priorities between rules (e.g. federal law trumping state law).

The research area investigates the formal modelling of various approaches to non-monotonic reasoning, analyses and compares such entailment relations and also deals with implementations and applications, e.g. in knowledge representation, logic programming, legal reasoning, or Natural-Language Understanding.

Scientific Staff

Journal Articles

Proceedings Articles

Lukas Gerlach, David Carral, Markus Hecher
Finite Groundings for ASP with Functions: A Journey through Consistency (Technical Report)
IJCAI 2024, to appear
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Stefan Ellmauthaler, Markus Krötzsch, Stephan Mennicke
Answering Queries with Negation over Existential Rules
Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI 2022), 5626-5633, 2022. AAAI Press
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Faiq Miftakhul Falakh, Sebastian Rudolph, Kai Sauerwald
Semantic Characterizations of AGM Revision for Tarskian Logics
In Guido Governatori, Anni-Yasmin Turhan, eds., Proceedings of the 6th International Joint Conference on Rules and Reasoning (RuleML+RR 2022), volume 13752 of LNCS, 95-110, September 2022. Springer
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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.
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School of Embedded Composite Artificial Intelligence

Abstract Dialectical Frameworks solved with Binary Decision Diagrams