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  1. 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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  • 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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  • A general account of argumentation with preferences.Sanjay Modgil & Henry Prakken - 2013 - Artificial Intelligence 195 (C):361-397.
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  • Abstract argumentation systems.Gerard A. W. Vreeswijk - 1997 - Artificial Intelligence 90 (1-2):225-279.
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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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  • Introduction to structured argumentation.Philippe Besnard, Alejandro Garcia, Anthony Hunter, Sanjay Modgil, Henry Prakken, Guillermo Simari & Francesca Toni - 2014 - Argument and Computation 5 (1):1-4.
    In abstract argumentation, each argument is regarded as atomic. There is no internal structure to an argument. Also, there is no specification of what is an argument or an attack. They are assumed to be given. This abstract perspective provides many advantages for studying the nature of argumentation, but it does not cover all our needs for understanding argumentation or for building tools for supporting or undertaking argumentation. If we want a more detailed formalization of arguments than is available with (...)
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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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  • The computational complexity of ideal semantics.Paul E. Dunne - 2009 - Artificial Intelligence 173 (18):1559-1591.
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  • Constructing argument graphs with deductive arguments: a tutorial.Philippe Besnard & Anthony Hunter - 2014 - Argument and Computation 5 (1):5-30.
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  • Answer-set programming encodings for argumentation frameworks.Uwe Egly, Sarah Alice Gaggl & Stefan Woltran - 2010 - Argument and Computation 1 (2):147-177.
    Answer-set programming (ASP) has emerged as a declarative programming paradigm where problems are encoded as logic programs, such that the so-called answer sets of theses programs represent the solutions of the encoded problem. The efficiency of the latest ASP solvers reached a state that makes them applicable for problems of practical importance. Consequently, problems from many different areas, including diagnosis, data integration, and graph theory, have been successfully tackled via ASP. In this work, we present such ASP-encodings for problems associated (...)
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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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  • A generalised framework for dispute derivations in assumption-based argumentation.Francesca Toni - 2013 - Artificial Intelligence 195 (C):1-43.
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