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Games, Norms and Reasons: Logic at the Crossroads

Dordrecht, Netherland: Springer (2011)

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  1. Interpreted Dynamical Systems and Qualitative Laws: from Neural Networks to Evolutionary Systems.Hannes Leitgeb - 2005 - Synthese 146 (1-2):189-202.
    . Interpreted dynamical systems are dynamical systems with an additional interpretation mapping by which propositional formulas are assigned to system states. The dynamics of such systems may be described in terms of qualitative laws for which a satisfaction clause is defined. We show that the systems Cand CL of nonmonotonic logic are adequate with respect to the corresponding description of the classes of interpreted ordered and interpreted hierarchical systems, respectively. Inhibition networks, artificial neural networks, logic programs, and evolutionary systems are (...)
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  • Dynamic logic for belief revision.Johan van Benthem - 2007 - Journal of Applied Non-Classical Logics 17 (2):129-155.
    We show how belief revision can be treated systematically in the format of dynamicepistemic logic, when operators of conditional belief are added. The core engine consists of definable update rules for changing plausibility relations between worlds, which have been proposed independently in the dynamic-epistemic literature on preference change. Our analysis yields two new types of modal result. First, we obtain complete logics for concrete mechanisms of belief revision, based on compositional reduction axioms. Next, we show how various abstract postulates for (...)
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  • Knowledge and belief.Jaakko Hintikka - 1962 - Ithaca, N.Y.,: Cornell University Press.
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  • The logic of proofs, semantically.Melvin Fitting - 2005 - Annals of Pure and Applied Logic 132 (1):1-25.
    A new semantics is presented for the logic of proofs (LP), [1, 2], based on the intuition that it is a logic of explicit knowledge. This semantics is used to give new proofs of several basic results concerning LP. In particular, the realization of S4 into LP is established in a way that carefully examines and explicates the role of the + operator. Finally connections are made with the conventional approach, via soundness and completeness results.
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  • The logic of justification.Sergei Artemov - 2008 - Review of Symbolic Logic 1 (4):477-513.
    We describe a general logical framework, Justification Logic, for reasoning about epistemic justification. Justification Logic is based on classical propositional logic augmented by justification assertions t: F that read t is a justification for F. Justification Logic absorbs basic principles originating from both mainstream epistemology and the mathematical theory of proofs. It contributes to the studies of the well-known Justified True Belief vs. Knowledge problem. We state a general Correspondence Theorem showing that behind each epistemic modal logic, there is a (...)
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  • Reasoning about knowledge.Ronald Fagin, Joseph Y. Halpern, Yoram Moses & Moshe Vardi - 2003 - Cambridge: MIT Press.
    Reasoning About Knowledge is the first book to provide a general discussion of approaches to reasoning about knowledge and its applications to distributed ...
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  • Probabilities for multiple properties: The models of Hesse and Carnap and Kemeny. [REVIEW]Patrick Maher - 2001 - Erkenntnis 55 (2):183-215.
    In 1959 Carnap published a probability model that was meant to allow forreasoning by analogy involving two independent properties. Maher (2000)derived a generalized version of this model axiomatically and defended themodel''s adequacy. It is thus natural to now consider how the model mightbe extended to the case of more than two properties. A simple extension waspublished by Hess (1964); this paper argues that it is inadequate. Amore sophisticated one was developed jointly by Carnap and Kemeny in theearly 1950s but never (...)
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  • Reflective modalities and theory change.André Fuhrmann - 1989 - Synthese 81 (1):115 - 134.
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  • Representation of symmetric probability models.Peter H. Krauss - 1969 - Journal of Symbolic Logic 34 (2):183-193.
    This paper is a sequel to the joint publication of Scott and Krauss in which the first aspects of a mathematical theory are developed which might be called "First Order Probability Logic". No attempt will be made to present this additional material in a self-contained form. We will use the same notation and terminology as introduced and explained in Scott and Krauss, and we will frequently refer to the theorems stated and proved in the preceding paper. The main objective of (...)
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  • (1 other version)On the interpretation of intuitionistic number theory.S. C. Kleene - 1945 - Journal of Symbolic Logic 10 (4):109-124.
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  • Two modellings for theory change.Adam Grove - 1988 - Journal of Philosophical Logic 17 (2):157-170.
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  • A query on confirmation.Nelson Goodman - 1946 - Journal of Philosophy 43 (14):383-385.
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  • Explicit provability and constructive semantics.Sergei N. Artemov - 2001 - Bulletin of Symbolic Logic 7 (1):1-36.
    In 1933 Godel introduced a calculus of provability (also known as modal logic S4) and left open the question of its exact intended semantics. In this paper we give a solution to this problem. We find the logic LP of propositions and proofs and show that Godel's provability calculus is nothing but the forgetful projection of LP. This also achieves Godel's objective of defining intuitionistic propositional logic Int via classical proofs and provides a Brouwer-Heyting-Kolmogorov style provability semantics for Int which (...)
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  • (1 other version)On the logic of theory change: Partial meet contraction and revision functions.Carlos E. Alchourrón, Peter Gärdenfors & David Makinson - 1985 - Journal of Symbolic Logic 50 (2):510-530.
    This paper extends earlier work by its authors on formal aspects of the processes of contracting a theory to eliminate a proposition and revising a theory to introduce a proposition. In the course of the earlier work, Gardenfors developed general postulates of a more or less equational nature for such processes, whilst Alchourron and Makinson studied the particular case of contraction functions that are maximal, in the sense of yielding a maximal subset of the theory (or alternatively, of one of (...)
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  • (3 other versions)Elusive Knowledge.David Lewis - 2000 - In Sven Bernecker & Fred I. Dretske (eds.), Knowledge: readings in contemporary epistemology. New York: Oxford University Press.
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  • A truth maintenance system.Jon Doyle - 1979 - Artificial Intelligence 12 (3):231-272.
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  • Carnap’s Theory of Probability and Induction.John G. Kemeny - 1963 - In Paul Arthur Schilpp (ed.), The philosophy of Rudolf Carnap. La Salle, Ill.,: Open Court. pp. 711--738.
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  • Rational Conceptual Change.William L. Harper - 1976 - PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1976:462 - 494.
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  • Replies and Systematic Expositions.Rudolf Carnap - 1963 - In ¸ Iteschilpp:Prc. pp. 859--1013.
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  • Is Knowledge Closed Under Known Entailment? The Case Against Closure.Fred Dretske - 2013 - In Matthias Steup & John Turri (eds.), Contemporary Debates in Epistemology. Chichester, West Sussex, UK: Blackwell. pp. 13-26.
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  • The epistemic closure principle.Steven Luper - 2008 - Stanford Encyclopedia of Philosophy.
    Most of us think we can always enlarge our knowledge base by accepting things that are entailed by (or logically implied by) things we know. The set of things we know is closed under entailment (or under deduction or logical implication), which means that we know that a given claim is true upon recognizing, and accepting thereby, that it follows from what we know. However, some theorists deny that knowledge is closed under entailment, and the issue remains controversial. The arguments (...)
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  • On infirmities of confirmation-theory.Nelson Goodman - 1947 - Philosophy and Phenomenological Research 8 (1):149-151.
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  • Probabilities for two properties.Patrick Maher - 2000 - Erkenntnis 52 (1):63-91.
    Let R(X, B) denote the class of probability functions that are defined on algebra X and that represent rationally permissible degrees of certainty for a person whose total relevant background evidence is B. This paper is concerned with characterizing R(X, B) for the case in whichX is an algebra of propositions involving two properties and B is empty. It proposes necessary conditions for a probability function to be in R(X, B), some of which involve the notion of statistical dependence. The (...)
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  • A perspective on assumption-based truth maintenance.Johan de Kleer - 1993 - Artificial Intelligence 59 (1-2):63-67.
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