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  1. A logic for default reasoning.Ray Reiter - 1980 - Artificial Intelligence 13 (1-2):81-137.
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  • Redundancy in logic II: 2CNF and Horn propositional formulae.Paolo Liberatore - 2008 - Artificial Intelligence 172 (2-3):265-299.
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  • Alternative approaches to default logic.James P. Delgrande, Torsten Schaub & W. Ken Jackson - 1994 - Artificial Intelligence 70 (1-2):167-237.
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  • Circumscription — A Form of Non-Monotonic Reasoning.John McCarthy - 1980 - Artificial Intelligence 13 (1-2):27–39.
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  • Optimal compression of propositional Horn knowledge bases: complexity and approximation.Peter L. Hammer & Alexander Kogan - 1993 - Artificial Intelligence 64 (1):131-145.
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  • Eliminating the fixed predicates from a circumscription.Johan de Kleer & Kurt Konolige - 1989 - Artificial Intelligence 39 (3):391-398.
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  • Evaluating the effect of semi-normality on the expressiveness of defaults.Tomi Janhunen - 2003 - Artificial Intelligence 144 (1-2):233-250.
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  • Redundancy in logic I: CNF propositional formulae.Paolo Liberatore - 2005 - Artificial Intelligence 163 (2):203-232.
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  • A logical framework for default reasoning.David Poole - 1988 - Artificial Intelligence 36 (1):27-47.
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  • On cumulative default logics.Laura Giordano & Alberto Martelli - 1994 - Artificial Intelligence 66 (1):161-179.
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  • Representability in Default Logic.Paolo Liberatore - 2005 - Logic Journal of the IGPL 13 (3):335-351.
    A default theory can be seen as a way for representing a set of formulae, i.e., its extensions. In this paper, we characterize the sets of formulae that can be expressed by a default theory according to various semantics: justified, constrained, rational, cumulative, QDL, CADL, and two semantics with priorities. These characterizations imply some non-translatability results between semantics.
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  • Removing redundancy from a clause.Georg Gottlob & Christian G. Fermüller - 1993 - Artificial Intelligence 61 (2):263-289.
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  • Saturation, nonmonotonic reasoning and the closed-world assumption.Genevieve Bossu & Pierre Siegel - 1985 - Artificial Intelligence 25 (1):13-63.
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