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  1. Collective argumentation: A survey of aggregation issues around argumentation frameworks.Gustavo Bodanza, Fernando Tohmé & Marcelo Auday - 2017 - Argument and Computation 8 (1):1-34.
    Dung’s argumentation frameworks have been applied for over twenty years to the analysis of argument justification. This representation focuses on arguments and the attacks among them, abstracting away from other features like the internal structure of arguments, the nature of utterers, the specifics of the attack relation, etc. The model is highly attractive because it reduces most of the complexities involved in argumentation processes. It can be applied to different settings, like the argument evaluation of an individual agent or the (...)
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  • The first international competition on computational models of argumentation: Results and analysis.Matthias Thimm & Serena Villata - 2017 - Artificial Intelligence 252 (C):267-294.
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  • Methods for solving reasoning problems in abstract argumentation – A survey.Günther Charwat, Wolfgang Dvořák, Sarah A. Gaggl, Johannes P. Wallner & Stefan Woltran - 2015 - Artificial Intelligence 220 (C):28-63.
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  • The attack as strong negation, part I.D. Gabbay & M. Gabbay - 2015 - Logic Journal of the IGPL 23 (6):881-941.
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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.
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  • Complexity-sensitive decision procedures for abstract argumentation.Wolfgang Dvořák, Matti Järvisalo, Johannes Peter Wallner & Stefan Woltran - 2014 - Artificial Intelligence 206 (C):53-78.
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  • 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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