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  1. Structural constraints for dynamic operators in abstract argumentation.Johannes P. Wallner - 2020 - Argument and Computation 11 (1-2):151-190.
  • Argumentation frameworks with necessities and their relationship with logic programs.Farid Nouioua & Sara Boutouhami - 2023 - Argument and Computation 14 (1):17-58.
    This paper presents a comprehensive study of argumentation frameworks with necessities (AFNs), a bipolar extension of Dung Abstract argumentation frameworks (AFs) where the support relation captures a positive interaction between arguments having the meaning of necessity: the acceptance of an argument may require the acceptance of other argument(s). The paper discusses new main acceptability semantics for AFNs and their characterization both by a direct approach and a labelling approach. It examines the relationship between AFNs and Dung AFs and shows the (...)
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  • Characterizing acceptability semantics of argumentation frameworks with recursive attack and support relations.Sebastian Gottifredi, Andrea Cohen, Alejandro J. García & Guillermo R. Simari - 2018 - Artificial Intelligence 262 (C):336-368.
    Over the last decade, several extensions of Dung’s Abstract Argumentation Frameworks (AFs) have been introduced in the literature. Some of these extensions concern the nature of the attack relation, such as the consideration of recursive attacks, whereas others incorporate additional interactions, such as a support relation. Recently, the Attack–Support Argumentation Framework (ASAF) was proposed, which accounts for recursive attacks and supports, attacks to supports and supports to attacks, at any level, where the support relation is interpreted as necessity. Currently, to (...)
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  • Logical theories and abstract argumentation: A survey of existing works.Philippe Besnard, Claudette Cayrol & Marie-Christine Lagasquie-Schiex - 2020 - Argument and Computation 11 (1-2):41-102.
  • Learning argumentation frameworks from labelings.Lars Bengel, Matthias Thimm & Tjitze Rienstra - forthcoming - Argument and Computation:1-39.
    We consider the problem of learning argumentation frameworks from a given set of labelings such that every input is a σ-labeling of these argumentation frameworks. Our new algorithm takes labelings and computes attack constraints for each argument that represent the restrictions on argumentation frameworks that are consistent with the input labelings. Having constraints on the level of arguments allows for a very effective parallelization of all computations. An important element of this approach is maintaining a representation of all argumentation frameworks (...)
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