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  1. A logic for default reasoning.Ray Reiter - 1980 - Artificial Intelligence 13 (1-2):81-137.
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  • The logicist manifesto: At long last let logic-based artificial intelligence become a field unto itself.Selmer Bringsjord - 2008 - Journal of Applied Logic 6 (4):502-525.
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  • A Pragmatic Solution for the Paradox of Free Choice Permission.Katrin Schulz - 2005 - Synthese 147 (2):343-377.
    In this paper, a pragmatic approach to the phenomenon of free choice permission is proposed. Free choice permission is explained as due to taking the speaker (i) to obey certain Gricean maxims of conversation and (ii) to be competent on the deontic options, i.e. to know the valid obligations and permissions. The approach differs from other pragmatic approaches to free choice permission in giving a formally precise description of the class of inferences that can be derived based on these two (...)
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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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  • A logic road from special relativity to general relativity.Hajnal Andréka, Judit X. Madarász, István Németi & Gergely Székely - 2012 - Synthese 186 (3):633 - 649.
    We present a streamlined axiom system of special relativity in first-order logic. From this axiom system we "derive" an axiom system of general relativity in two natural steps. We will also see how the axioms of special relativity transform into those of general relativity. This way we hope to make general relativity more accessible for the non-specialist.
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  • ``Defeasible Reasoning with Variable Degrees of Justification".John L. Pollock - 2001 - Artificial Intelligence 133 (1-2):233-282.
    The question addressed in this paper is how the degree of justification of a belief is determined. A conclusion may be supported by several different arguments, the arguments typically being defeasible, and there may also be arguments of varying strengths for defeaters for some of the supporting arguments. What is sought is a way of computing the “on sum” degree of justification of a conclusion in terms of the degrees of justification of all relevant premises and the strengths of all (...)
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  • Deontic logic.Paul McNamara - 2010 - Stanford Encyclopedia of Philosophy.
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  • A computationally-discovered simplification of the ontological argument.Paul Oppenheimer & Edward N. Zalta - 2011 - Australasian Journal of Philosophy 89 (2):333 - 349.
    The authors investigated the ontological argument computationally. The premises and conclusion of the argument are represented in the syntax understood by the automated reasoning engine PROVER9. Using the logic of definite descriptions, the authors developed a valid representation of the argument that required three non-logical premises. PROVER9, however, discovered a simpler valid argument for God's existence from a single non-logical premise. Reducing the argument to one non-logical premise brings the investigation of the soundness of the argument into better focus. Also, (...)
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  • Vivid: A framework for heterogeneous problem solving.Konstantine Arkoudas & Selmer Bringsjord - 2009 - Artificial Intelligence 173 (15):1367-1405.
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  • How to reason defeasibly.John L. Pollock - 1992 - Artificial Intelligence 57 (1):1-42.
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  • The Philosophical Position of Proof Theory.Dag Prawitz - 1972 - In Raymond E. Olson (ed.), Contemporary philosophy in Scandinavia. Baltimore,: Johns Hopkins University Press. pp. 123–134.
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  • Facts and Possibilities: A Model‐Based Theory of Sentential Reasoning.Sangeet S. Khemlani, Ruth M. J. Byrne & Philip N. Johnson-Laird - 2018 - Cognitive Science 42 (6):1887-1924.
    This article presents a fundamental advance in the theory of mental models as an explanation of reasoning about facts, possibilities, and probabilities. It postulates that the meanings of compound assertions, such as conditionals (if) and disjunctions (or), unlike those in logic, refer to conjunctions of epistemic possibilities that hold in default of information to the contrary. Various factors such as general knowledge can modulate these interpretations. New information can always override sentential inferences; that is, reasoning in daily life is defeasible (...)
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  • Formal Philosophy: Selected Papers of Richard Montague.Richmond H. Thomason & Richard Montague - 1976 - Foundations of Language 14 (3):413-418.
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  • Melvin Fitting, Types Tableaus and Gödel's God. [REVIEW]Melvin Fitting - 2005 - Studia Logica 81 (3):425-427.
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  • An Introduction to Gödel's Theorems.Peter Smith - 2009 - Bulletin of Symbolic Logic 15 (2):218-222.
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  • A Computationally-Discovered Simplification of the Ontological Argument.Paul E. Oppenheimer - 2011 - Australasian Journal of Philosophy 89 (2):333-349.
    The authors investigated the ontological argument computationally. The premises and conclusion of the argument are represented in the syntax understood by the automated reasoning engine PROVER9. Using the logic of definite descriptions, the authors developed a valid representation of the argument that required three non-logical premises. PROVER9, however, discovered a simpler valid argument for God's existence from a single non-logical premise. Reducing the argument to one non-logical premise brings the investigation of the soundness of the argument into better focus. Also, (...)
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  • Formal Philosophy: Selected Papers of Richard Montague.Richard Montague & Richmond H. Thomason - 1978 - British Journal for the Philosophy of Science 29 (2):197-201.
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  • A Survey of Symbolic Logic.C. I. Lewis - 1918 - Journal of Philosophy, Psychology and Scientific Methods 17 (3):78-79.
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  • Hybrid-Logical Reasoning in the Smarties and Sally-Anne Tasks.Torben Braüner - 2014 - Journal of Logic, Language and Information 23 (4):415-439.
    The main aim of the present paper is to use a proof system for hybrid modal logic to formalize what are called false-belief tasks in cognitive psychology, thereby investigating the interplay between cognition and logical reasoning about belief. We consider two different versions of the Smarties task, involving respectively a shift of perspective to another person and to another time. Our formalizations disclose that despite this difference, the two versions of the Smarties task have exactly the same underlying logical structure. (...)
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