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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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  • Reasoning about preferences in argumentation frameworks.Sanjay Modgil - 2009 - Artificial Intelligence 173 (9-10):901-934.
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  • Argument-based extended logic programming with defeasible priorities.Henry Prakken & Giovanni Sartor - 1997 - Journal of Applied Non-Classical Logics 7 (1-2):25-75.
    ABSTRACT Inspired by legal reasoning, this paper presents a semantics and proof theory of a system for defeasible argumentation. Arguments are expressed in a logic-programming language with both weak and strong negation, conflicts between arguments are decided with the help of priorities on the rules. An important feature of the system is that these priorities are not fixed, but are themselves defeasibly derived as conclusions within the system. Thus debates on the choice between conflicting arguments can also be modelled. The (...)
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  • Coherence in finite argument systems.Paul E. Dunne & T. J. M. Bench-Capon - 2002 - Artificial Intelligence 141 (1-2):187-203.
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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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  • Computational properties of argument systems satisfying graph-theoretic constraints.Paul E. Dunne - 2007 - Artificial Intelligence 171 (10-15):701-729.
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  • From statistical knowledge bases to degrees of belief.Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern & Daphne Koller - 1996 - Artificial Intelligence 87 (1-2):75-143.
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  • The computational complexity of ideal semantics.Paul E. Dunne - 2009 - Artificial Intelligence 173 (18):1559-1591.
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  • Probabilistic Horn abduction and Bayesian networks.David Poole - 1993 - Artificial Intelligence 64 (1):81-129.
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