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  1. Where are the chances?Katrina Elliott - 2021 - Synthese 199 (3-4):6761-6783.
    Not all probability ascriptions that appear in scientific theories describe chances. There is a question about whether probability ascriptions in non-fundamental sciences, such as those found in evolutionary biology and statistical mechanics, describe chances in deterministic worlds and about whether there could be any chances in deterministic worlds. Recent debate over whether chance is compatible with determinism has unearthed two strategies for arguing about whether a probability ascription describes chance—that is, to speak metaphorically, two different strategies for figuring out where (...)
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  • Why-Questions.Sylvain Bromberger - 1966 - In Robert Garland Colodny (ed.), Mind and Cosmos: Essays in Contemporary Science and Philosophy. [Pittsburgh]: University of Pittsburgh Press. pp. 86--111.
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  • The heuristic conception of inference to the best explanation.Finnur Dellsén - 2017 - Philosophical Studies 175 (7):1745-1766.
    An influential suggestion about the relationship between Bayesianism and inference to the best explanation holds that IBE functions as a heuristic to approximate Bayesian reasoning. While this view promises to unify Bayesianism and IBE in a very attractive manner, important elements of the view have not yet been spelled out in detail. I present and argue for a heuristic conception of IBE on which IBE serves primarily to locate the most probable available explanatory hypothesis to serve as a working hypothesis (...)
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  • Ockham’s Razors: A User’s Manual.Elliott Sober - 2015 - Cambridge: Cambridge University Press.
    Ockham's razor, the principle of parsimony, states that simpler theories are better than theories that are more complex. It has a history dating back to Aristotle and it plays an important role in current physics, biology, and psychology. The razor also gets used outside of science - in everyday life and in philosophy. This book evaluates the principle and discusses its many applications. Fascinating examples from different domains provide a rich basis for contemplating the principle's promises and perils. It is (...)
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  • Humean Supervenience Debugged.David Lewis - 1994 - Mind 103 (412):473--490.
    Tn this paper I explore and to an extent defend HS. The main philosophical challenges to HS come from philosophical views that say that nomic concepts-laws, chance, and causation-denote features of the world that fail to supervene on non-nomic features. Lewis rejects these views and has labored mightily to construct HS accounts of nomic concepts. His account of laws is fundamental to his program, since his accounts of the other nomic notions rely on it. Recently, a number of philosophers have (...)
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  • Objectivity, value judgment, and theory choice.Thomas S. Kuhn - 1981 - In David Zaret (ed.), Review of Thomas S. Kuhn The Essential Tension: Selected Studies in Scientific Tradition and Change. Duke University Press. pp. 320--39.
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  • Aspects of Scientific Explanation and Other Essays in the Philosophy of Science.Carl Gustav Hempel - 1965 - New York: The Free Press.
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  • Explanatory unification and the causal structure of the world.Philip Kitcher - 1962 - In Philip Kitcher & Wesley C. Salmon (eds.), Scientific Explanation. Univ of Minnesota Pr. pp. 410-505.
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  • Causal explanation.David Lewis - 1986 - In David K. Lewis (ed.), Philosophical Papers Vol. II. Oxford University Press. pp. 214-240.
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  • The scientific image.C. Van Fraassen Bas - 1980 - New York: Oxford University Press.
    In this book van Fraassen develops an alternative to scientific realism by constructing and evaluating three mutually reinforcing theories.
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  • Making things happen: a theory of causal explanation.James F. Woodward - 2003 - New York: Oxford University Press.
    Woodward's long awaited book is an attempt to construct a comprehensive account of causation explanation that applies to a wide variety of causal and explanatory claims in different areas of science and everyday life. The book engages some of the relevant literature from other disciplines, as Woodward weaves together examples, counterexamples, criticisms, defenses, objections, and replies into a convincing defense of the core of his theory, which is that we can analyze causation by appeal to the notion of manipulation.
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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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  • Do large probabilities explain better?Michael Strevens - 2000 - Philosophy of Science 67 (3):366-390.
    It is widely held that the size of a probability makes no difference to the quality of a probabilistic explanation. I argue that explanatory practice in statistical physics belies this claim. The claim has gained currency only because of an impoverished conception of probabilistic processes and an unwarranted assumption that all probabilistic explanations have a single form.
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  • The inference to the best explanation.Gilbert H. Harman - 1965 - Philosophical Review 74 (1):88-95.
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  • Explanation and scientific understanding.Michael Friedman - 1974 - Journal of Philosophy 71 (1):5-19.
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  • (3 other versions)Scientific Explanation.P. Kitcher & W. C. Salmon - 1992 - British Journal for the Philosophy of Science 43 (1):85-98.
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  • Locating IBE in the Bayesian Framework.Jonathan Weisberg - 2009 - Synthese 167 (1):125-143.
    Inference to the Best Explanation (IBE) and Bayesianism are our two most prominent theories of scientific inference. Are they compatible? Van Fraassen famously argued that they are not, concluding that IBE must be wrong since Bayesianism is right. Writers since then, from both the Bayesian and explanationist camps, have usually considered van Fraassen’s argument to be misguided, and have plumped for the view that Bayesianism and IBE are actually compatible. I argue that van Fraassen’s argument is actually not so misguided, (...)
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  • The Scientific Image.Bas C. Fraassen - 1983 - Mind 92 (366):291-293.
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  • The best explanation: Criteria for theory choice.Paul R. Thagard - 1978 - Journal of Philosophy 75 (2):76-92.
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  • (1 other version)Inference to the Best explanation.Peter Lipton - 2005 - In Martin Curd & Stathis Psillos (eds.), The Routledge Companion to Philosophy of Science. New York: Routledge. pp. 193.
    Science depends on judgments of the bearing of evidence on theory. Scientists must judge whether an observation or the result of an experiment supports, disconfirms, or is simply irrelevant to a given hypothesis. Similarly, scientists may judge that, given all the available evidence, a hypothesis ought to be accepted as correct or nearly so, rejected as false, or neither. Occasionally, these evidential judgments can be made on deductive grounds. If an experimental result strictly contradicts a hypothesis, then the truth of (...)
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  • Gender, politics, and the theoretical virtues.Helen E. Longino - 1995 - Synthese 104 (3):383 - 397.
    Traits like simplicity and explanatory power have traditionally been treated as values internal to the sciences, constitutive rather than contextual. As such they are cognitive virtues. This essay contrasts a traditional set of such virtues with a set of alternative virtues drawn from feminist writings about the sciences. In certain theoretical contexts, the only reasons for preferring a traditional or an alternative virtue are socio-political. This undermines the notion that the traditional virtues can be considered purely cognitive.
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  • Van Fraassen's Critique Of Inference To The Best Explanation.Samir Okasha - 2000 - Studies in History and Philosophy of Science Part A 31 (4):691-710.
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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)The Role of Chance in Explanation.Bradford Skow - 2014 - Australasian Journal of Philosophy 92 (1):103-123.
    ‘Those ice cubes melted because by melting total entropy increased and entropy increase has a very high objective chance.’ What role does the chance in this explanation play? I argue that it contributes to the explanation by entailing that the melting was almost necessary, and defend the claim that the fact that some event was almost necessary can, in the right circumstances, constitute a causal explanation of that event.
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  • Bayesianism and Inference to the Best Explanation.Leah Henderson - 2014 - British Journal for the Philosophy of Science 65 (4):687-715.
    Two of the most influential theories about scientific inference are inference to the best explanation and Bayesianism. How are they related? Bas van Fraassen has claimed that IBE and Bayesianism are incompatible rival theories, as any probabilistic version of IBE would violate Bayesian conditionalization. In response, several authors have defended the view that IBE is compatible with Bayesian updating. They claim that the explanatory considerations in IBE are taken into account by the Bayesian because the Bayesian either does or should (...)
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  • Taking the Naturalistic Turn or How Real Philosophy of Science Is Done.W. Callebaut - 1995 - Tijdschrift Voor Filosofie 57 (2):391-391.
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  • Inference to the loveliest explanation.Eric Barnes - 1995 - Synthese 103 (2):251 - 277.
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  • Taking the Naturalistic Turn, or How Real Philosophy of Science is Done.Werner Callebaut (ed.) - 1993 - Chicago: University of Chicago Press.
    Philosophers of science traditionally have ignored the details of scientific research, and the result has often been theories that lack relevance either to science or to philosophy in general. In this volume, leading philosophers of biology discuss the limitations of this tradition and the advantages of the "naturalistic turn"—the idea that the study of science is itself a scientific enterprise and should be conducted accordingly. This innovative book presents candid, informal debates among scholars who examine the benefits and problems of (...)
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  • A deductive-nomological model of probabilistic explanation.Peter Railton - 1978 - Philosophy of Science 45 (2):206-226.
    It has been the dominant view that probabilistic explanations of particular facts must be inductive in character. I argue here that this view is mistaken, and that the aim of probabilistic explanation is not to demonstrate that the explanandum fact was nomically expectable, but to give an account of the chance mechanism(s) responsible for it. To this end, a deductive-nomological model of probabilistic explanation is developed and defended. Such a model has application only when the probabilities occurring in covering laws (...)
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  • (1 other version)The role of chance in explanation.Bradford Skow - 2013 - Australasian Journal of Philosophy (1):1-21.
    ?Those ice cubes melted because by melting total entropy increased and entropy increase has a very high objective chance.? What role does the chance in this explanation play? I argue that it contributes to the explanation by entailing that the melting was almost necessary, and defend the claim that the fact that some event was almost necessary can, in the right circumstances, constitute a causal explanation of that event.
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  • Probability, explanation, and information.Peter Railton - 1981 - Synthese 48 (2):233 - 256.
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