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  1. Artificial nonmonotonic neural networks.B. Boutsinas & M. N. Vrahatis - 2001 - Artificial Intelligence 132 (1):1-38.
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  • Recovery of (non)monotonic theories.Cees Witteveen & Wiebe van der Hoek - 1998 - Artificial Intelligence 106 (1):139-159.
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  • Must Good Reasoning Satisfy Cumulative Transitivity?Shyam Nair - 2017 - Philosophy and Phenomenological Research 98 (1):123-146.
    There is consensus among computer scientists, logicians, and philosophers that good reasoning with qualitative beliefs must have the structural property of cumulative transitivity or, for short, cut. This consensus is typically explicitly argued for partially on the basis of practical and mathematical considerations. But the consensus is also implicit in the approach philosophers take to almost every puzzle about reasoning that involves multiple steps: philosophers typically assume that if each step in reasoning is acceptable considered on its own, the whole (...)
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  • Safe Contraction Revisited.Hans Rott & Sven Ove Hansson - 2014 - In Sven Ove Hansson (ed.), David Makinson on Classical Methods for Non-Classical Problems (Outstanding Contributions to Logic, Vol. 3). Springer. pp. 35–70.
    Modern belief revision theory is based to a large extent on partial meet contraction that was introduced in the seminal article by Carlos Alchourrón, Peter Gärdenfors, and David Makinson that appeared in 1985. In the same year, Alchourrón and Makinson published a significantly different approach to the same problem, called safe contraction. Since then, safe contraction has received much less attention than partial meet contraction. The present paper summarizes the current state of knowledge on safe contraction, provides some new results (...)
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  • Why It Is Time To Move Beyond Nagelian Reduction.Marie I. Kaiser - 2012 - In D. Dieks, S. Hartmann, T. Uebel & M. Weber (eds.), Probabilities, Laws and Structure. Springer. pp. 255-272.
    In this paper I argue that it is finally time to move beyond the Nagelian framework and to break new ground in thinking about epistemic reduction in biology. I will do so, not by simply repeating all the old objections that have been raised against Ernest Nagel’s classical model of theory reduction. Rather, I grant that a proponent of Nagel’s approach can handle several of these problems but that, nevertheless, Nagel’s general way of thinking about epistemic reduction in terms of (...)
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  • David Makinson on Classical Methods for Non-Classical Problems.Sven Ove Hansson (ed.) - 2013 - Dordrecht, Netherland: Springer.
    The volume analyses and develops David Makinson’s efforts to make classical logic useful outside its most obvious application areas. The book contains chapters that analyse, appraise, or reshape Makinson’s work and chapters that develop themes emerging from his contributions. These are grouped into major areas to which Makinsons has made highly influential contributions and the volume in its entirety is divided into four sections, each devoted to a particular area of logic: belief change, uncertain reasoning, normative systems and the resources (...)
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  • An axiomatic analysis of structured argumentation with priorities.Phan Minh Dung - 2016 - Artificial Intelligence 231 (C):107-150.
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  • 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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  • A Resource-bounded Default Logic.Gregory Wheeler - 2004 - In J. Delgrande & T. Schaub (eds.), Proceedings of NMR 2004. AAAI.
    This paper presents statistical default logic, an expansion of classical (i.e., Reiter) default logic that allows us to model common inference patterns found in standard inferential statistics, including hypothesis testing and the estimation of a populations mean, variance and proportions. The logic replaces classical defaults with ordered pairs consisting of a Reiter default in the first coordinate and a real number within the unit interval in the second coordinate. This real number represents an upper-bound limit on the probability of accepting (...)
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  • Abductive inference in defeasible reasoning: a model for research programmes.Claudio Delrieux - 2004 - Journal of Applied Logic 2 (4):409-437.
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  • A counterexample to six fundamental principles of belief formation.Hans Rott - 2004 - Synthese 139 (2):225 - 240.
    In recent years there has been a growing consensus that ordinary reasoning does not conform to the laws of classical logic, but is rather nonmonotonic in the sense that conclusions previously drawn may well be removed upon acquiring further information. Even so, rational belief formation has up to now been modelled as conforming to some fundamental principles that are classically valid. The counterexample described in this paper suggests that a number of the most cherished of these principles should not be (...)
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  • On prediction in theorist.Michael Thielscher - 1993 - Artificial Intelligence 60 (2):283-292.
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  • Nonmonotonic reasoning by inhibition nets☆☆This paper has been supported by the Austrian Research Fund FWF (SFB F012).Hannes Leitgeb - 2001 - Artificial Intelligence 128 (1-2):161-201.
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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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  • An argument-based approach to reasoning with specificity.Phan Minh Dung & Tran Cao Son - 2001 - Artificial Intelligence 133 (1-2):35-85.
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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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  • 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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  • The Place of Logic in Reasoning.Daniel Kayser - 2010 - Logica Universalis 4 (2):225-239.
    Reasoning is a goal-oriented activity. The logical steps are at best the median part of a full reasoning: before them, a language has to be defined, and a model of the goal in this language has to be developed; after them, their result has to be checked in the real world with respect to the goal. Both the prior and the subsequent steps can be conducted rationally; none of them has a logical counterpart. Furthermore, Logic aims at prescribing what a (...)
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  • Defaults as restrictions on classical Hilbert-style proofs.Gianni Amati, Luigia Carlucci Aiello & Fiora Pirri - 1994 - Journal of Logic, Language and Information 3 (4):303-326.
    Since the earliest formalisation of default logic by Reiter many contributions to this appealing approach to nonmonotonic reasoning have been given. The different formalisations are here presented in a general framework that gathers the basic notions, concepts and constructions underlying default logic. Our view is to interpret defaults as special rules that impose a restriction on the juxtaposition of monotonic Hubert-style proofs of a given logicL. We propose to describe default logic as a logic where the juxtaposition of default proofs (...)
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  • Information, Interaction, and Agency.Wiebe van der Hoek (ed.) - 2005 - Dordrecht, Netherland: Springer.
    Contemporary epistemological and cognitive studies, as well as recent trends in computer science and game theory have revealed an increasingly important and intimate relationship between Information, Interaction, and Agency. Agents perform actions based on the available information and in the presence of other interacting agents. From this perspective Information, Interaction, and Agency neatly ties together classical themes like rationality, decision-making and belief revision with games, strategies and learning in a multi-agent setting. Unified by the central notions Information, Interaction, and Agency, (...)
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  • From the textual description of an accident to its causes.Daniel Kayser & Farid Nouioua - 2009 - Artificial Intelligence 173 (12-13):1154-1193.
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  • On cumulative default logics.Laura Giordano & Alberto Martelli - 1994 - Artificial Intelligence 66 (1):161-179.
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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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  • 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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  • Reasoning by cases in default logic.Nico Roos - 1998 - Artificial Intelligence 99 (1):165-183.
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  • A logic for reasoning with inconsistent knowledge.Nico Roos - 1992 - Artificial Intelligence 57 (1):69-103.
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  • Order independent and persistent typed default unification.Alex Lascarides, Ted Briscoe, Nicholas Asher & Ann Copestake - 1996 - Linguistics and Philosophy 19 (1):1 - 90.
    We define an order independent version of default unification on typed feature structures. The operation is one where default information in a feature structure typed with a more specific type, will override default information in a feature structure typed with a more general type, where specificity is defined by the subtyping relation in the type hierarchy. The operation is also able to handle feature structures where reentrancies are default. We provide a formal semantics, prove order independence and demonstrate the utility (...)
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  • Cumulative default logic: Finite characterization, algorithms, and complexity.Georg Gottlob & Mingyi Zhang - 1994 - Artificial Intelligence 69 (1-2):329-345.
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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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