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  1. Using arguments for making and explaining decisions.Leila Amgoud & Henri Prade - 2009 - Artificial Intelligence 173 (3-4):413-436.
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  • Audiences in argumentation frameworks.Trevor J. M. Bench-Capon, Sylvie Doutre & Paul E. Dunne - 2007 - Artificial Intelligence 171 (1):42-71.
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  • Dialectic proof procedures for assumption-based, admissible argumentation.P. M. Dung, R. A. Kowalski & F. Toni - 2006 - Artificial Intelligence 170 (2):114-159.
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  • On the computational complexity of assumption-based argumentation for default reasoning.Yannis Dimopoulos, Bernhard Nebel & Francesca Toni - 2002 - Artificial Intelligence 141 (1-2):57-78.
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  • An abstract, argumentation-theoretic approach to default reasoning.A. Bondarenko, P. M. Dung, R. A. Kowalski & F. Toni - 1997 - Artificial Intelligence 93 (1-2):63-101.
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  • On the acceptability of arguments and its fundamental role in nonmonotonic reasoning, logic programming and n-person games.Phan Minh Dung - 1995 - Artificial Intelligence 77 (2):321-357.
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  • On principle-based evaluation of extension-based argumentation semantics.Pietro Baroni & Massimiliano Giacomin - 2007 - Artificial Intelligence 171 (10-15):675-700.
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  • Computational properties of argument systems satisfying graph-theoretic constraints.Paul E. Dunne - 2007 - Artificial Intelligence 171 (10-15):701-729.
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  • Explanations, belief revision and defeasible reasoning.Marcelo A. Falappa, Gabriele Kern-Isberner & Guillermo R. Simari - 2002 - Artificial Intelligence 141 (1-2):1-28.
    We present different constructions for nonprioritized belief revision, that is, belief changes in which the input sentences are not always accepted. First, we present the concept of explanation in a deductive way. Second, we define multiple revision operators with respect to sets of sentences (representing explanations), giving representation theorems. Finally, we relate the formulated operators with argumentative systems and default reasoning frameworks.
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  • Relating protocols for dynamic dispute with logics for defeasible argumentation.Henry Prakken - 2001 - Synthese 127 (1-2):187-219.
    This article investigates to what extent protocols for dynamicdisputes, i.e., disputes in which the information base can vary at differentstages, can be justified in terms of logics for defeasible argumentation. Firsta general framework is formulated for dialectical proof theories for suchlogics. Then this framework is adapted to serve as a framework for protocols fordynamic disputes, after which soundness and fairness properties are formulated for such protocols relative to dialectical proof theories. It then turns out that certaintypes of protocols that are (...)
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  • 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.
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  • SCC-recursiveness: a general schema for argumentation semantics.Pietro Baroni, Massimiliano Giacomin & Giovanni Guida - 2005 - Artificial Intelligence 168 (1-2):162-210.
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  • On the merging of Dung's argumentation systems.Sylvie Coste-Marquis, Caroline Devred, Sébastien Konieczny, Marie-Christine Lagasquie-Schiex & Pierre Marquis - 2007 - Artificial Intelligence 171 (10-15):730-753.
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  • Reaching agreements through argumentation: a logical model and implementation.Sarit Kraus, Katia Sycara & Amir Evenchik - 1998 - Artificial Intelligence 104 (1-2):1-69.
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  • Reasoning about preferences in argumentation frameworks.Sanjay Modgil - 2009 - Artificial Intelligence 173 (9-10):901-934.
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  • Computing ideal sceptical argumentation.P. M. Dung, P. Mancarella & F. Toni - 2007 - Artificial Intelligence 171 (10-15):642-674.
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