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  1. Probabilistic logic.Nils J. Nilsson - 1986 - Artificial Intelligence 28 (1):71-87.
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  • Die methodologische Symmetrie von Verifikation und Falsifikation.Béla Juhos - 1970 - Zeitschrift Für Allgemeine Wissenschaftstheorie 1 (1):41-70.
    Es wird ausgegangen von den in den empirischen Wissenschaften vorkommenden Satzarten. Die Abhängigkeit der Kennzeichnungen "vollständig" bzw. "hinreichend verifiziert" von den Kriterien der benützten Überprüfungsverfahren wird untersucht. Die irrigen Voraussetzungen extremer Verallgemeinerungen, wie der "Verifikations-these" Wittgensteins und der "asymmetrischen Falsifikationstheorie" Poppers, werden aufgezeigt. Die methodologische Symmetrie von Verifikation und Falsifikation wird durch den Hinweis auf die gleicherweise unerläßliche Bedeutung der induktiven Schritte und des kontrollierenden Aufsuchens von Unverträglichkeiten für den wissenschaftlichen Fortschritt begründet. Unter Berücksichtigung dieser Kriterien werden empirische Allsätze als (...)
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  • Probleme und Resultate der Wissenschaftstheorie und analytischen Philosophie.Wolfgang Stegmüller - 1972 - Zeitschrift für Philosophische Forschung 26 (2):316-320.
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  • (1 other version)The Logic of Conditionals.Ernest Adams, Ernest W. Adams, Jaakko Hintikka & Patrick Suppes - 1965 - Journal of Symbolic Logic 39 (3):609-611.
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  • (1 other version)Logical Foundations of Probability.Rudolf Carnap - 1950 - Mind 62 (245):86-99.
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  • (1 other version)Eliminative Materialism and the Propositional Attitudes.Paul M. Churchland - 1981 - Journal of Philosophy 78 (2):67-90.
    Eliminative materialism is the thesis that our common-sense conception of psychological phenomena constitutes a radically false theory, a theory so fundamentally defective that both the principles and the ontology of that theory will eventually be displaced, rather than smoothly reduced, by completed neuroscience. Our mutual understanding and even our introspection may then be reconstituted within the conceptual framework of completed neuroscience, a theory we may expect to be more powerful by far than the common-sense psychology it displaces, and more substantially (...)
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  • (1 other version)Laws and Symmetry.Bas C. Van Fraassen - 1989 - Revue Philosophique de la France Et de l'Etranger 182 (3):327-329.
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  • (1 other version)Vaulting Ambition.Philip Kitcher - 1988 - Noûs 22 (3):479-482.
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  • Laws, theories, and generalizations.Ronald Giere - 1988 - In A. Grünbaum & W. Salmon (eds.), Limitstions of Deductivism. University of California Press, Berkeley, Ca. pp. 37--46.
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  • Probabilistic Causality Emancipated.John Dupré - 1984 - Midwest Studies in Philosophy 9 (1):169-175.
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  • Aspects of scientific explanation.Carl G. Hempel - 1965 - In Carl Gustav Hempel (ed.), Aspects of Scientific Explanation and Other Essays in the Philosophy of Science. New York: The Free Press. pp. 504.
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  • Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference.Judea Pearl - 1988 - Morgan Kaufmann.
    The book can also be used as an excellent text for graduate-level courses in AI, operations research, or applied probability.
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  • A Primer on Determinism.John Earman - 1986 - D. Reidel.
    Determinism is a perennial topic of philosophical discussion. Very little acquaintance with the philosophical literature is needed to reveal the Tower of ...
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  • Counterfactuals.David K. Lewis - 1973 - Malden, Mass.: Blackwell.
    Counterfactuals is David Lewis' forceful presentation of and sustained argument for a particular view about propositions which express contrary to fact conditionals, including his famous defense of realism about possible worlds and his theory of laws of nature.
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  • A logic for default reasoning.Ray Reiter - 1980 - Artificial Intelligence 13 (1-2):81-137.
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  • Laws and symmetry.Bas C. Van Fraassen - 1989 - New York: Oxford University Press.
    Metaphysicians speak of laws of nature in terms of necessity and universality; scientists, in terms of symmetry and invariance. In this book van Fraassen argues that no metaphysical account of laws can succeed. He analyzes and rejects the arguments that there are laws of nature, or that we must believe there are, and argues that we should disregard the idea of law as an adequate clue to science. After exploring what this means for general epistemology, the author develops the empiricist (...)
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  • How the laws of physics lie.Nancy Cartwright - 1983 - New York: Oxford University Press.
    In this sequence of philosophical essays about natural science, the author argues that fundamental explanatory laws, the deepest and most admired successes of modern physics, do not in fact describe regularities that exist in nature. Cartwright draws from many real-life examples to propound a novel distinction: that theoretical entities, and the complex and localized laws that describe them, can be interpreted realistically, but the simple unifying laws of basic theory cannot.
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  • Normality as a biological concept.Robert Wachbroit - 1994 - Philosophy of Science 61 (4):579-591.
    The biological sciences employ a concept of normality that must be distinguished from statistical or value concepts. The concept of normality is presupposed in the standard explications of biological functions, and it is crucial to the strategy of explanation by approximations in, for example, physiology. Nevertheless, this concept of normality does not seem to be captured in the language of physics. Thus attempts at explaining the methodological relationship between the biological sciences and the physical sciences by concentrating only on the (...)
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  • Explanatory unification.Philip Kitcher - 1981 - Philosophy of Science 48 (4):507-531.
    The official model of explanation proposed by the logical empiricists, the covering law model, is subject to familiar objections. The goal of the present paper is to explore an unofficial view of explanation which logical empiricists have sometimes suggested, the view of explanation as unification. I try to show that this view can be developed so as to provide insight into major episodes in the history of science, and that it can overcome some of the most serious difficulties besetting the (...)
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  • The function of general laws in history.Carl Gustav Hempel - 1942 - Journal of Philosophy 39 (2):35-48.
    The classic logical positivist account of historical explanation, putting forward what is variously called the "regularity interpretation" (#Gardiner, The Nature of Historical Explanation), the "covering law model" (#Dray, Laws and Explanation in History), or the "deductive model" (Michael #Scriven, "Truisms as Grounds for Historical Explanations"). See also #Danto, Narration and Knowledge, for further criticisms of the model. Hempel formalizes historical explanation as involving (a) statements of determining (initial and boundary) conditions for the event to be explained, and (b) statements of (...)
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  • Evaluation of statistical hypotheses using information transmitted.James G. Greeno - 1970 - Philosophy of Science 37 (2):279-294.
    The main argument of this paper is that an evaluation of the overall explanatory power of a theory is less problematic and more relevant as an assessment of the state of knowledge than evaluation of statistical explanations of single occurrences in terms of likelihoods that are assigned to explananda.
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  • Functions.John Bigelow & Robert Pargetter - 1987 - Journal of Philosophy 84 (4):181-196.
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  • Functional analysis.Robert E. Cummins - 1975 - Journal of Philosophy 72 (November):741-64.
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  • Psychosemantics: The Problem of Meaning in the Philosophy of Mind.Jerry A. Fodor - 1987 - MIT Press. Edited by Margaret A. Boden.
    Preface 1 Introduction: The Persistence of the Attitudes 2 Individualism and Supervenience 3 Meaning Holism 4 Meaning and the World Order Epilogue Creation Myth Appendix Why There Still Has to be a Language of Thought Notes References Author Index.
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  • A logical framework for default reasoning.David Poole - 1988 - Artificial Intelligence 36 (1):27-47.
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  • All I know: A study in autoepistemic logic.Hector J. Levesque - 1990 - Artificial Intelligence 42 (2-3):263-309.
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  • Probabilistic logic revisited.Nils J. Nilsson - 1993 - Artificial Intelligence 59 (1-2):39-42.
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  • (1 other version)What does a conditional knowledge base entail?D. Lehmann & M. Magidor - 1994 - Artificial Intelligence 68 (2):411.
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  • An Introduction to Cybernetics. [REVIEW]W. R. Ashby - 1957 - Australasian Journal of Philosophy 35:147.
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  • Die Erklären: Verstehen Kontroverse in Transzendental-Pragmatischer Sicht.K.-O. APEL - 1979
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  • The role or negation in nonmonotonio loom and defeasible reasoning.Gerhard Schurz - 1996 - In Heinrich Wansing (ed.), Negation: a notion in focus. New York: W. de Gruyter. pp. 7--197.
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  • Semantic Considerations on nonmonotonic Logic.Robert C. Moore - 1985 - Artificial Intelligence 25 (1):75-94.
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  • Statistical explanation & statistical relevance.Wesley C. Salmon - 1971 - [Pittsburgh]: University of Pittsburgh Press. Edited by Richard C. Jeffrey & James G. Greeno.
    Through his S–R model of statistical relevance, Wesley Salmon offers a solution to the scientific explanation of objectively improbable events.
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  • (1 other version)Laws and explanation in history.William H. Dray - 1964 - Westport, Conn.: Greenwood Press.
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  • Aleatory explanations.Paul W. Humphreys - 1981 - Synthese 48 (2):225 - 232.
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  • Knowledge and Justification.John L. Pollock - 1974 - Princeton, N.J.: Princeton University Press. Edited by John Pollock.
    Princeton University Press, 1974. This book is out of print, but can be downloaded as a pdf file (5 MB).
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  • Reduktion und Revision: Aspekte des nichtmonotonen Theorienwandels.Hans Rott - 1991 - Frankfurt, Germany: Peter Lang.
    The development of science does not proceed as a monotonous addition of information. A superior successor theory often contradicts its predecessor. The question as to what the logical relationship is between such theories, insofar as the transition from one to the other embodies continuity and progress, is the subject of this book. Proceeding from a discussion of intertheory reductions, the author proves that theories revision models from philosophical logic are fruitful for questions of scientific theory. Formal analyses of conditionals, autoepistemic (...)
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  • Inductive inconsistencies.Carl Gustav Hempel - 1960 - Synthese 12 (4):439-69.
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  • (2 other versions)Counterfactuals.David Lewis - 1973 - Tijdschrift Voor Filosofie 36 (3):602-605.
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  • (1 other version)Four Decades of Scientific Explanation.Wesley C. Salmon & Anne Fagot-Largeault - 1989 - History and Philosophy of the Life Sciences 16 (2):355.
    As Aristotle stated, scientific explanation is based on deductive argument--yet, Wesley C. Salmon points out, not all deductive arguments are qualified explanations. The validity of the explanation must itself be examined. _Four Decades of Scientific Explanation_ provides a comprehensive account of the developments in scientific explanation that transpired in the last four decades of the twentieth century. It continues to stand as the most comprehensive treatment of the writings on the subject during these years. Building on the historic 1948 essay (...)
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  • Applications of Circumscription to Formalizing Common Sense Knowledge.John McCarthy - 1986 - Artificial Intelligence 28 (1):89–116.
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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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  • (1 other version)Ordinal Conditional Functions.Wolfgang Spohn - 1988 - In Causation, Decision, Belief Change and Statistics. Kluwer Academic Publishers.
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  • Nature's capacities and their measurement.Nancy Cartwright - 1989 - New York: Oxford University Press.
    Ever since David Hume, empiricists have barred powers and capacities from nature. In this book Cartwright argues that capacities are essential in our scientific world, and, contrary to empiricist orthodoxy, that they can meet sufficiently strict demands for testability. Econometrics is one discipline where probabilities are used to measure causal capacities, and the technology of modern physics provides several examples of testing capacities (such as lasers). Cartwright concludes by applying the lessons of the book about capacities and probabilities to the (...)
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  • Inductive explanation.Raimo Tuomela - 1981 - Synthese 48 (2):257 - 294.
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  • Moral dilemmas and nonmonotonic logic.John Horty - 1994 - Journal of Philosophical Logic 23 (1):35 - 65.
    From a philosophical standpoint, the work presented here is based on van Fraassen [26]. The bulk of that paper is organized around a series of arguments against the assumption, built into standard deontic logic, that moral dilemmas are impossible; and van Fraassen only briefly sketches his alternative approach. His paper ends with the conclusion that “the problem of possibly irresolvable moral conflict reveals serious flaws in the philosophical and semantic foundations of ‘orthodox’ deontic logic, but also suggests a rich set (...)
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  • Completeness for systems including real numbers.W. Balzer & M. Reiter - 1989 - Studia Logica 48 (1):67 - 75.
    The usual completeness theorem for first-order logic is extended in order to allow for a natural incorporation of real analysis. Essentially, this is achieved by building in the set of real numbers into the structures for the language, and by adjusting other semantical notions accordingly. We use many-sorted languages so that the resulting formal systems are general enough for axiomatic treatments of empirical theories without recourse to elements of set theory which are difficult to interprete empirically. Thus we provide a (...)
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  • General Patterns in Nonmonotonic Reasoning.David Makinson - 1994 - In Handbook of Logic in Artificial Intelligence Nad Logic Programming, Vol. Iii. Clarendon Press. pp. 35-110.
    An extended review of what is known about the formal behaviour of nonmonotonic inference operations, including those generated by the principal systems in the artificial intelligence literature. Directed towards computer scientists and others with some background in logic.
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  • Deductive predictions.José Alberto Coffa - 1968 - Philosophy of Science 35 (3):279-283.
    According to Hempel, all scientific explanations and predictions which are produced exclusively with deterministic laws must be deductive, in the sense that the explanandum or the prediction must be a logical consequence of the laws and the initial conditions in the explanans. This deducibility thesis has been attacked from several quarters. Some time ago Canfield and Lehrer presented a “refutation” of DT as applied to predictions, in which they tried to prove that “if the deductive reconstruction [DT for predictions] were (...)
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  • Justification and defeat.John L. Pollock - 1994 - Artificial Intelligence 67 (2):377-407.
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