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  1. Seminormalizing a default theory.Paolo Liberatore - 2005 - Journal of Applied Non-Classical Logics 15 (3):321-340.
    Most of the work in default logic is about default theories that are completely specified. In this category are the proposals of appropriate semantics for default logic, the characterizations of the complexity of reasoning with a default theory, the algorithms for finding consequences of default theories, etc. Relatively little attention has been paid to the process of building a default theory, and most of the work on this topic is about translating knowledge bases from other formalisms (such as circumscription, autoepistemic (...)
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  • Towards a classification of defaults logics.Thomas Link & Torsten Schaub - 1997 - Journal of Applied Non-Classical Logics 7 (4):397-451.
    ABSTRACT Reiter's default logic is one of the most prominent and well-studied approaches to nonmonotonic reasoning. Its evolution has resulted in diverse variants enjoying many interesting properties. This process however seems to be diverging because it has led to default logics that are difficult to compare due to different formal characterizations—sometimes even dealing with different objects of discourse. This problem is addressed in this paper in two ways. One the one hand, we elaborate on the relationships between different types of (...)
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  • Alternative foundations for Reiter's default logic.Thomas Linke & Torsten Schaub - 2000 - Artificial Intelligence 124 (1):31-86.
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  • Redundancy in logic III: Non-monotonic reasoning.Paolo Liberatore - 2008 - Artificial Intelligence 172 (11):1317-1359.
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  • Defaulting on Reasons.Daniel Bonevac - 2018 - Noûs:229-259.
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  • Compiling specificity into approaches to nonmonotonic reasoning.James P. Delgrande & Torsten H. Schaub - 1997 - Artificial Intelligence 90 (1-2):301-348.
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  • Prolog technology for default reasoning: proof theory and compilation techniques.Torsten Schaub & Stefan Brüning - 1998 - Artificial Intelligence 106 (1):1-75.
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  • The Qualification Problem: A solution to the problem of anomalous models.Michael Thielscher - 2001 - Artificial Intelligence 131 (1-2):1-37.
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  • Reasoning Processes as Epistemic Dynamics.Fernando R. Velázquez-Quesada - 2015 - Axiomathes 25 (1):41-60.
    This work proposes an understanding of deductive, default and abductive reasoning as different instances of the same phenomenon: epistemic dynamics. It discusses the main intuitions behind each one of these reasoning processes, and suggest how they can be understood as different epistemic actions that modify an agent’s knowledge and/or beliefs in a different way, making formal the discussion with the use of the dynamic epistemic logic framework. The ideas in this paper put the studied processes under the same umbrella, thus (...)
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  • Artificial nonmonotonic neural networks.B. Boutsinas & M. N. Vrahatis - 2001 - Artificial Intelligence 132 (1):1-38.
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  • Consistency Defaults.Paolo Liberatore - 2007 - Studia Logica 86 (1):89-110.
    A consistency default is a propositional inference rule that asserts the consistency of a formula in its consequence. Consistency defaults allow for a straightforward encoding of domains in which it is explicitely known when something is possible. The logic of consistency defaults can be seen as a variant of cumulative default logic or as a generalization of justified default logic; it is also able to simulate Reiter default logic in the seminormal case. A semantical characterization of consistency defaults in terms (...)
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  • Reasoning Processes as Epistemic Dynamics.Olga Pombo - 2015 - Axiomathes 25 (1):41-60.
    This work proposes an understanding of deductive, default and abductive reasoning as different instances of the same phenomenon: epistemic dynamics. It discusses the main intuitions behind each one of these reasoning processes, and suggest how they can be understood as different epistemic actions that modify an agent’s knowledge and/or beliefs in a different way, making formal the discussion with the use of the dynamic epistemic logic framework. The ideas in this paper put the studied processes under the same umbrella, thus (...)
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  • On prediction in theorist.Michael Thielscher - 1993 - Artificial Intelligence 60 (2):283-292.
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