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  1. Embedding justification theory in approximation fixpoint theory.Simon Marynissen, Bart Bogaerts & Marc Denecker - 2024 - Artificial Intelligence 331 (C):104112.
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  • Non-deterministic approximation fixpoint theory and its application in disjunctive logic programming.Jesse Heyninck, Ofer Arieli & Bart Bogaerts - 2024 - Artificial Intelligence 331 (C):104110.
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  • Analyzing the computational complexity of abstract dialectical frameworks via approximation fixpoint theory.Hannes Strass & Johannes Peter Wallner - 2015 - Artificial Intelligence 226 (C):34-74.
  • Realizability of three-valued semantics for abstract dialectical frameworks.Jörg Pührer - 2020 - Artificial Intelligence 278 (C):103198.
  • Epistemic graphs for representing and reasoning with positive and negative influences of arguments.Anthony Hunter, Sylwia Polberg & Matthias Thimm - 2020 - Artificial Intelligence 281 (C):103236.
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  • Vicious circle principle, aggregates, and formation of sets in ASP based languages.Michael Gelfond & Yuanlin Zhang - 2019 - Artificial Intelligence 275 (C):28-77.
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  • Theory of Semi-Instantiation in Abstract Argumentation.D. M. Gabbay - 2016 - Logica Universalis 10 (4):431-516.
    We study instantiated abstract argumentation frames of the form, where is an abstract argumentation frame and where the arguments x of S are instantiated by I as well formed formulas of a well known logic, for example as Boolean formulas or as predicate logic formulas or as modal logic formulas. We use the method of conceptual analysis to derive the properties of our proposed system. We seek to define the notion of complete extensions for such systems and provide algorithms for (...)
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  • Representing the semantics of abstract dialectical frameworks based on arguments and attacks.Phan Minh Dung & Phan Minh Thang - 2018 - Argument and Computation 9 (3):249-267.
  • Reasoning in abstract dialectical frameworks using quantified Boolean formulas.Martin Diller, Johannes Peter Wallner & Stefan Woltran - 2015 - Argument and Computation 6 (2):149-177.
    dialectical frameworks constitute a recent and powerful generalisation of Dung's argumentation frameworks, where the relationship between the arguments can be specified via Boolean formulas. Recent results have shown that this enhancement comes with the price of higher complexity compared to AFs. In fact, acceptance problems in the world of ADFs can be hard even for the third level of the polynomial hierarchy. In order to implement reasoning problems on ADFs, systems for quantified Boolean formulas thus are suitable engines to be (...)
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  • Investigating subclasses of abstract dialectical frameworks.Martin Diller, Atefeh Keshavarzi Zafarghandi, Thomas Linsbichler & Stefan Woltran - 2020 - Argument and Computation 11 (1-2):191-219.
  • Comparing logic programming and formal argumentation; the case of ideal and eager semantics.Martin Caminada, Sri Harikrishnan & Samy Sá - 2022 - Argument and Computation 13 (1):93-120.
    The connection between logic programming and formal argumentation has been studied starting from the landmark 1995 paper of Dung. Subsequent work has identified a standard translation from logic programs to argumentation frameworks, under which pairwise correspondences hold between various logic programming semantics and various formal argumentation semantics. This includes the correspondence between 3-valued stable and complete semantics, between well-founded and grounded semantics and between 2-valued stable and stable semantics. In the current paper, we show that the existing translation is able (...)
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  • Safe inductions and their applications in knowledge representation.Bart Bogaerts, Joost Vennekens & Marc Denecker - 2018 - Artificial Intelligence 259 (C):167-185.
  • Fixpoint semantics for active integrity constraints.Bart Bogaerts & Luís Cruz-Filipe - 2018 - Artificial Intelligence 255 (C):43-70.
  • Grounded fixpoints and their applications in knowledge representation.Bart Bogaerts, Joost Vennekens & Marc Denecker - 2015 - Artificial Intelligence 224 (C):51-71.
  • An abstract, logical approach to characterizing strong equivalence in non-monotonic knowledge representation formalisms.Ringo Baumann & Hannes Strass - 2022 - Artificial Intelligence 305 (C):103680.