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  1. Nonmonotonic reasoning, preferential models and cumulative logics.Sarit Kraus, Daniel Lehmann & Menachem Magidor - 1990 - Artificial Intelligence 44 (1-2):167-207.
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  • (1 other version)What does a conditional knowledge base entail?Daniel Lehmann & Menachem Magidor - 1992 - Artificial Intelligence 55 (1):1-60.
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  • Abduction as belief revision.Craig Boutilier & Veronica Beche - 1995 - Artificial Intelligence 77 (1):43-94.
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  • Five faces of minimality.David Makinson - 1993 - Studia Logica 52 (3):339 - 379.
    We discuss similarities and residual differences, within the general semantic framework of minimality, between defeasible inference, belief revision, counterfactual conditionals, updating — and also conditional obligation in deontic logic. Our purpose is not to establish new results, but to bring together existing material to form a clear overall picture.
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  • Epistemic entrenchment and possibilistic logic.Didier Dubois & Henri Prade - 1991 - Artificial Intelligence 50 (2):223-239.
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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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  • Algorithms for selective enumeration of prime implicants.Luigi Palopoli, Fiora Pirri & Clara Pizzuti - 1999 - Artificial Intelligence 111 (1-2):41-72.
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  • Abduction versus closure in causal theories.Kurt Konolige - 1992 - Artificial Intelligence 53 (2-3):255-272.
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  • Jumping to explanations versus jumping to conclusions.Ramón Pino-Pérez & Carlos Uzcátegui - 1999 - Artificial Intelligence 111 (1-2):131-169.
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  • On representation theorems for nonmonotonic consequence relations.Ramon Perez & Carlos Uzcategui - 2000 - Journal of Symbolic Logic 65 (3):1321-1337.
    One of the main tools in the study of nonmonotonic consequence relations is the representation of such relations in terms of preferential models. In this paper we give an unified and simpler framework to obtain such representation theorems.
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  • Abductive consequence relations.Jorge Lobo & Carlos Uzcátegui - 1997 - Artificial Intelligence 89 (1-2):149-171.
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  • Nonmonotonic inference based on expectations.Peter Gärdenfors & David Makinson - 1994 - Artificial Intelligence 65 (2):197-245.
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