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  1. Computational complexity of flat and generic Assumption-Based Argumentation, with and without probabilities.Kristijonas Čyras, Quentin Heinrich & Francesca Toni - 2021 - Artificial Intelligence 293 (C):103449.
  • A tutorial on assumption-based argumentation.Francesca Toni - 2014 - Argument and Computation 5 (1):89-117.
  • A generalised framework for dispute derivations in assumption-based argumentation.Francesca Toni - 2013 - Artificial Intelligence 195 (C):1-43.
  • Revisiting initial sets in abstract argumentation.Matthias Thimm - 2022 - Argument and Computation 13 (3):325-360.
    We revisit the notion of initial sets by Xu and Cayrol 2016), i. e., non-empty minimal admissible sets in abstract argumentation frameworks. Initial sets are a simple concept for analysing conflicts in an abstract argumentation framework and to explain why certain arguments can be accepted. We contribute with new insights on the structure of initial sets and devise a simple non-deterministic construction principle for any admissible set, based on iterative selection of initial sets of the original framework and its induced (...)
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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.
  • Characterizing strong equivalence for argumentation frameworks.Emilia Oikarinen & Stefan Woltran - 2011 - Artificial Intelligence 175 (14-15):1985-2009.
  • On argument acceptability change towards legal interpretation dynamics.Martín O. Moguillansky & Luciano H. Tamargo - 2020 - Artificial Intelligence and Law 29 (3):311-350.
    We propose a formal theory built upon an abstract argumentation framework for handling argumentation dynamics. To that end, we analyze the acceptability dynamics of arguments through the proposal of two different kinds of sets of arguments which are somehow responsible for the acceptability/rejection of a given argument. We develop a study of the consequences of breaking the construction of such sets towards the acceptance of an analyzed argument. This brings about the proposal of a novel change operation which allows to (...)
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  • On Argumentation Logic and Propositional Logic.Antonis C. Kakas, Paolo Mancarella & Francesca Toni - 2018 - Studia Logica 106 (2):237-279.
    This paper studies the relationship between Argumentation Logic, a recently defined logic based on the study of argumentation in AI, and classical Propositional Logic. In particular, it shows that AL and PL are logically equivalent in that they have the same entailment relation from any given classically consistent theory. This equivalence follows from a correspondence between the non-acceptability of sentences in AL and Natural Deduction proofs of the complement of these sentences. The proof of this equivalence uses a restricted form (...)
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  • Design and results of the Second International Competition on Computational Models of Argumentation.Sarah A. Gaggl, Thomas Linsbichler, Marco Maratea & Stefan Woltran - 2020 - Artificial Intelligence 279 (C):103193.
  • Complexity of fundamental problems in probabilistic abstract argumentation: Beyond independence.Bettina Fazzinga, Sergio Flesca & Filippo Furfaro - 2019 - Artificial Intelligence 268 (C):1-29.
  • Domain expansion for ASP-programs with external sources.Thomas Eiter, Michael Fink, Thomas Krennwallner & Christoph Redl - 2016 - Artificial Intelligence 233 (C):84-121.
  • Towards fixed-parameter tractable algorithms for abstract argumentation.Wolfgang Dvořák, Reinhard Pichler & Stefan Woltran - 2012 - Artificial Intelligence 186 (C):1-37.
  • Complexity-sensitive decision procedures for abstract argumentation.Wolfgang Dvořák, Matti Järvisalo, Johannes Peter Wallner & Stefan Woltran - 2014 - Artificial Intelligence 206 (C):53-78.
  • Complexity of abstract argumentation under a claim-centric view.Wolfgang Dvořák & Stefan Woltran - 2020 - Artificial Intelligence 285 (C):103290.
  • Weighted argument systems: Basic definitions, algorithms, and complexity results.Paul E. Dunne, Anthony Hunter, Peter McBurney, Simon Parsons & Michael Wooldridge - 2011 - Artificial Intelligence 175 (2):457-486.
  • Parametric properties of ideal semantics.Paul E. Dunne, Wolfgang Dvořák & Stefan Woltran - 2013 - Artificial Intelligence 202 (C):1-28.
  • Characteristics of multiple viewpoints in abstract argumentation.Paul E. Dunne, Wolfgang Dvořák, Thomas Linsbichler & Stefan Woltran - 2015 - Artificial Intelligence 228 (C):153-178.
  • Argument graphs and assumption-based argumentation.Robert Craven & Francesca Toni - 2016 - Artificial Intelligence 233 (C):1-59.
  • 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.
  • Before and after Dung: Argumentation in AI and Law.T. J. M. Bench-Capon - 2020 - Argument and Computation 11 (1-2):221-238.
  • On rejected arguments and implicit conflicts: The hidden power of argumentation semantics.Ringo Baumann, Wolfgang Dvořák, Thomas Linsbichler, Christof Spanring, Hannes Strass & Stefan Woltran - 2016 - Artificial Intelligence 241 (C):244-284.
  • On topology-related properties of abstract argumentation semantics. A correction and extension to Dynamics of argumentation systems: A division-based method.Pietro Baroni, Massimiliano Giacomin & Beishui Liao - 2014 - Artificial Intelligence 212 (C):104-115.
  • Automata for infinite argumentation structures.Pietro Baroni, Federico Cerutti, Paul E. Dunne & Massimiliano Giacomin - 2013 - Artificial Intelligence 203 (C):104-150.
  • Schemes of Inference, Conflict, and Preference in a Computational Model of Argument.Floris Bex & Chris Reed - 2011 - Studies in Logic, Grammar and Rhetoric 23 (36).
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