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  1. (1 other version)Causation and Preemption.Ned Hall & L. A. Paul - 2003 - In Peter Clark & Katherine Hawley (eds.), Philosophy of science today. New York: Oxford University Press. pp. 100-130.
    Causation is a deeply intuitive and familiar relation, gripped powerfully by common sense. Or so it seems. As is typical in philosophy, however, that deep intuitive familiarity has not led to any philosophical account of causation that is at once clean, precise, and widely agreed upon. Not for lack of trying: the last thirty years or so have seen dozens of attempts to provide such an account, and the pace of development is, if anything, accelerating. (See Collins et al. [2003a] (...)
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  • (4 other versions)Causation.D. Lewis - 1986 - In David K. Lewis (ed.), Philosophical Papers Vol. II. Oxford University Press. pp. 159-213.
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  • Causality: Models, Reasoning and Inference.Judea Pearl - 2000 - Tijdschrift Voor Filosofie 64 (1):201-202.
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  • (2 other versions)Counterfactuals.David Lewis - 1973 - Foundations of Language 13 (1):145-151.
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  • A Probabilistic Theory of Causality.P. Suppes - 1973 - British Journal for the Philosophy of Science 24 (4):409-410.
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  • (2 other versions)A Philosophical Guide to Conditionals.Jonathan Bennett - 2005 - Philosophical Quarterly 55 (220):524-526.
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  • (1 other version)Prevention, Preemption, and the Principle of Sufficient Reason.Christopher Hitchcock - 2007 - Philosophical Review 116 (4):495-532.
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  • Scientific Explanation and the Causal Structure of the World. Wesley Salmon.James H. Fetzer - 1987 - Philosophy of Science 54 (4):597-610.
    If the decades of the forties through the sixties were dominated by discussion of Hempel's “covering law“ explication of explanation, that of the seventies was preoccupied with Salmon's “statistical relevance” conception, which emerged as the principal alternative to Hempel's enormously influential account. Readers of Wesley C. Salmon's Scientific Explanation and the Causal Structure of the World, therefore, ought to find it refreshing to discover that its author has not remained content with a facile defense of his previous investigations; on the (...)
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  • (1 other version)Causality: Models, Reasoning and Inference.Christopher Hitchcock & Judea Pearl - 2001 - Philosophical Review 110 (4):639.
    Judea Pearl has been at the forefront of research in the burgeoning field of causal modeling, and Causality is the culmination of his work over the last dozen or so years. For philosophers of science with a serious interest in causal modeling, Causality is simply mandatory reading. Chapter 2, in particular, addresses many of the issues familiar from works such as Causation, Prediction and Search by Peter Spirtes, Clark Glymour, and Richard Scheines. But philosophers with a more general interest in (...)
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  • Determinism and Chance.Barry Loewer - 2001 - Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics 32 (4):609-620.
    It is generally thought that objective chances for particular events different from 1 and 0 and determinism are incompatible. However, there are important scientific theories whose laws are deterministic but which also assign non-trivial probabilities to events. The most important of these is statistical mechanics whose probabilities are essential to the explanations of thermodynamic phenomena. These probabilities are often construed as 'ignorance' probabilities representing our lack of knowledge concerning the microstate. I argue that this construal is incompatible with the role (...)
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  • (1 other version)Philosophical Guide to Conditionals.Jonathan Bennett - 2003 - Oxford, GB: Oxford University Press UK.
    Conditional sentences are among the most intriguing and puzzling features of language, and analysis of their meaning and function has important implications for, and uses in, many areas of philosophy. Jonathan Bennett, one of the world's leading experts, distils many years' work and teaching into this book, making it the fullest and most authoritative treatment of the subject.
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  • Causation: Probabilistic and counterfactual analyses.Igal Kvart - 2004 - In John Collins, Ned Hall & Laurie Paul (eds.), Causation and Counterfactuals. MIT Press. pp. 359--387.
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  • Emergent Chance.Christian List & Marcus Pivato - 2015 - Philosophical Review 124 (1):119-152.
    We offer a new argument for the claim that there can be non-degenerate objective chance (“true randomness”) in a deterministic world. Using a formal model of the relationship between different levels of description of a system, we show how objective chance at a higher level can coexist with its absence at a lower level. Unlike previous arguments for the level-specificity of chance, our argument shows, in a precise sense, that higher-level chance does not collapse into epistemic probability, despite higher-level properties (...)
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  • Of Miracles and Interventions.Luke Glynn - 2013 - Erkenntnis 78 (1):43-64.
    In Making Things Happen, James Woodward influentially combines a causal modeling analysis of actual causation with an interventionist semantics for the counterfactuals encoded in causal models. This leads to circularities, since interventions are defined in terms of both actual causation and interventionist counterfactuals. Circularity can be avoided by instead combining a causal modeling analysis with a semantics along the lines of that given by David Lewis, on which counterfactuals are to be evaluated with respect to worlds in which their antecedents (...)
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  • A Partial Theory of Actual Causation.Brad Weslake - manuscript
    One part of the true theory of actual causation is a set of conditions responsible for eliminating all of the non-causes of an effect that can be discerned at the level of counterfactual structure. I defend a proposal for this part of the theory.
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  • Causes and Conditions.J. L. Mackie - 1965 - American Philosophical Quarterly 2 (4):245 - 264.
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  • Response to Strevens.Jim Woodward - 2008 - Philosophy and Phenomenological Research 77 (1):193-212.
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  • A Probabilistic Analysis of Causation.Luke Glynn - 2011 - British Journal for the Philosophy of Science 62 (2):343-392.
    The starting point in the development of probabilistic analyses of token causation has usually been the naïve intuition that, in some relevant sense, a cause raises the probability of its effect. But there are well-known examples both of non-probability-raising causation and of probability-raising non-causation. Sophisticated extant probabilistic analyses treat many such cases correctly, but only at the cost of excluding the possibilities of direct non-probability-raising causation, failures of causal transitivity, action-at-a-distance, prevention, and causation by absence and omission. I show that (...)
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  • Probability in deterministic physics.J. T. Ismael - 2009 - Journal of Philosophy 106 (2):89-108.
    The role of probability is one of the most contested issues in the interpretation of contemporary physics. In this paper, I’ll be reevaluating some widely held assumptions about where and how probabilities arise. Larry Sklar voices the conventional wisdom about probability in classical physics in a piece in the Stanford Online Encyclopedia of Philosophy, when he writes that “Statistical mechanics was the first foundational physical theory in which probabilistic concepts and probabilistic explanation played a fundamental role.” And the conventional wisdom (...)
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  • (1 other version)Scientific Explanation and the Causal Structure of the World.Wesley C. Salmon - 1984 - Princeton University Press.
    The philosophical theory of scientific explanation proposed here involves a radically new treatment of causality that accords with the pervasively statistical character of contemporary science. Wesley C. Salmon describes three fundamental conceptions of scientific explanation--the epistemic, modal, and ontic. He argues that the prevailing view is untenable and that the modal conception is scientifically out-dated. Significantly revising aspects of his earlier work, he defends a causal/mechanical theory that is a version of the ontic conception. Professor Salmon's theory furnishes a robust (...)
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  • A subjectivist’s guide to objective chance.David K. Lewis - 2010 - In Antony Eagle (ed.), Philosophy of Probability: Contemporary Readings. New York: Routledge. pp. 263-293.
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  • Determinism and Chance from a Humean Perspective.Roman Frigg & Carl Hoefer - 2010 - In Thomas Uebel, Stephan Hartmann, Wenceslao Gonzalez, Marcel Weber, Dennis Dieks & Friedrich Stadler (eds.), The Present Situation in the Philosophy of Science. Springer. pp. 351--72.
    On the face of it ‘deterministic chance’ is an oxymoron: either an event is chancy or deterministic, but not both. Nevertheless, the world is rife with events that seem to be exactly that: chancy and deterministic at once. Simple gambling devices like coins and dice are cases in point. On the one hand they are governed by deterministic laws – the laws of classical mechanics – and hence given the initial condition of, say, a coin toss it is determined whether (...)
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  • Causal Contextualisms.Jonathan Schaffer - 2013 - In Martijn Blaauw (ed.), Contrastivism in philosophy. New York: Routledge/Taylor & Francis Group.
    Causal claims are context sensitive. According to the old orthodoxy (Mackie 1974, Lewis 1986, inter alia), the context sensitivity of causal claims is all due to conversational pragmatics. According to the new contextualists (Hitchcock 1996, Woodward 2003, Maslen 2004, Menzies 2004, Schaffer 2005, and Hall ms), at least some of the context sensitivity of causal claims is semantic in nature. I want to discuss the prospects for causal contextualism, by asking why causal claims are context sensitive, what they are sensitive (...)
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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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  • 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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  • (1 other version)The direction of time.Hans Reichenbach - 1956 - Mineola, N.Y.: Dover Publications. Edited by Maria Reichenbach.
    The final work of a distinguished physicist, this remarkable volume examines the emotive significance of time, the time order of mechanics, the time direction of thermodynamics and microstatistics, the time direction of macrostatistics, and the time of quantum physics. Coherent discussions include accounts of analytic methods of scientific philosophy in the investigation of probability, quantum mechanics, the theory of relativity, and causality. "[Reichenbach’s] best by a good deal."—Physics Today. 1971 ed.
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  • Contrastive causation.Jonathan Schaffer - 2005 - Philosophical Review 114 (3):327-358.
    Causation is widely assumed to be a binary relation: c causes e. I will argue that causation is a quaternary, contrastive relation: c rather than C* causes e rather than E*, where C* and E* are nonempty sets of contrast events. Or at least, I will argue that treating causation as contrastive helps resolve some paradoxes.
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  • (2 other versions)Causes and explanations: A structural-model approach. Part I: Causes.Joseph Y. Halpern & Judea Pearl - 2005 - British Journal for the Philosophy of Science 56 (4):843-887.
    We propose a new definition of actual causes, using structural equations to model counterfactuals. We show that the definition yields a plausible and elegant account of causation that handles well examples which have caused problems for other definitions and resolves major difficulties in the traditional account.
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  • Probabilistic causation and causal processes: A critique of Lewis.Peter Menzies - 1989 - Philosophy of Science 56 (4):642-663.
    This paper examines a promising probabilistic theory of singular causation developed by David Lewis. I argue that Lewis' theory must be made more sophisticated to deal with certain counterexamples involving pre-emption. These counterexamples appear to show that in the usual case singular causation requires an unbroken causal process to link cause with effect. I propose a new probabilistic account of singular causation, within the framework developed by Lewis, which captures this intuition.
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  • (4 other versions)Causation.David Lewis - 1973 - Journal of Philosophy 70 (17):556-567.
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  • Causation as influence.David Lewis - 2000 - Journal of Philosophy 97 (4):182-197.
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  • Counterfactual Dependence and Time’s Arrow.David Lewis - 1979 - Noûs 13 (4):455-476.
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  • Chances, Counterfactuals, and Similarity.Robert Williams - 2008 - Philosophy and Phenomenological Research 77 (2):385-420.
    John Hawthorne in a recent paper takes issue with Lewisian accounts of counterfactuals, when relevant laws of nature are chancy. I respond to his arguments on behalf of the Lewisian, and conclude that while some can be rebutted, the case against the original Lewisian account is strong.I develop a neo-Lewisian account of what makes for closeness of worlds. I argue that my revised version avoids Hawthorne’s challenges. I argue that this is closer to the spirit of Lewis’s first (non-chancy) proposal (...)
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  • The Third Way on Objective Probability: A Sceptic's Guide to Objective Chance.Carl Hoefer - 2007 - Mind 116 (463):549-596.
    The goal of this paper is to sketch and defend a new interpretation or 'theory' of objective chance, one that lets us be sure such chances exist and shows how they can play the roles we traditionally grant them. The account is 'Humean' in claiming that objective chances supervene on the totality of actual events, but does not imply or presuppose a Humean approach to other metaphysical issues such as laws or causation. Like Lewis (1994) I take the Principal Principle (...)
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  • A causal calculus (I).Irving John Good - 1961 - British Journal for the Philosophy of Science 11 (44):305-318.
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  • Cause without Default.Thomas Blanchard & Jonathan Schaffer - 2017 - In Helen Beebee, Christopher Hitchcock & Huw Price (eds.), Making a Difference: Essays on the Philosophy of Causation. Oxford: Oxford University Press. pp. 175-214.
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  • Review of Woodward, Making Things Happen. [REVIEW]Michael Strevens - 2007 - Philosophy and Phenomenological Research 74 (1):233-249.
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  • (2 other versions)Causes and Explanations: A Structural-Model Approach. Part I: Causes.Judea Pearl - 2005 - British Journal for the Philosophy of Science 56 (4):843-887.
    We propose a new definition of actual causes, using structural equations to model counterfactuals. We show that the definition yields a plausible and elegant account of causation that handles well examples which have caused problems for other definitions and resolves major difficulties in the traditional account. 1. Introduction2. Causal models: a review2.1Causal models2.2Syntax and semantics3. The definition of cause4. Examples5. A more refined definition6. DiscussionAAppendix: Some Technical IssuesA.1The active causal processA.2A closer look at AC2(b)A.3Causality with infinitely many variablesA.4Causality in nonrecursive (...)
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  • (2 other versions)Counterfactuals.David Lewis - 1973 - Philosophy of Science 42 (3):341-344.
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  • Response to Strevens.Michael Strevens - 2008 - Philosophy and Phenomenological Research 77 (1):193-212.
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  • Probabilistic Causality.Wayne A. Davis & Ellery Eells - 1993 - Philosophical Review 102 (3):410.
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  • A Regularity Theoretic Approach to Actual Causation.Michael Baumgartner - 2013 - Erkenntnis 78 (1):85-109.
    The majority of the currently flourishing theories of actual causation are located in a broadly counterfactual framework that draws on structural equations. In order to account for cases of symmetric overdeterminiation and preemption, these theories resort to rather intricate analytical tools, most of all, to what Hitchcock has labeled explicitly nonforetracking counterfactuals. This paper introduces a regularity theoretic approach to actual causation that only employs material conditionals, standard Boolean minimization procedures, and a stability condition that regulates the behavior of causal (...)
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  • Deterministic chance.Luke Glynn - 2010 - British Journal for the Philosophy of Science 61 (1):51–80.
    I argue that there are non-trivial objective chances (that is, objective chances other than 0 and 1) even in deterministic worlds. The argument is straightforward. I observe that there are probabilistic special scientific laws even in deterministic worlds. These laws project non-trivial probabilities for the events that they concern. And these probabilities play the chance role and so should be regarded as chances as opposed, for example, to epistemic probabilities or credences. The supposition of non-trivial deterministic chances might seem to (...)
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  • Most Counterfactuals Are False.Alan Hajek - 2014
    I argue that most counterfactuals are false.
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  • Chance and counterfactuals.John Hawthorne - 2005 - Philosophy and Phenomenological Research 70 (2):396–405.
    Suppose the world is chancy. The worry arises that most ordinary counterfactuals are false. This paper examines David Lewis' strategy for rescuing such counterfactuals, and argues that it is highly problematic.
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  • Causes as probability raisers of processes.Jonathan Schaffe - 2001 - Journal of Philosophy 98 (2):75-92.
    The leading accounts of the nature of causation divide into probability-raising and process-linkage views. On the probability-raising view, causation is rooted in the comparative probability of the effect with the cause versus without. On the process-linkage view, causation is rooted in the existence of a connecting line from cause to effect. I propose a third alternative which synthesizes these views while solving their problem cases. On this alternative, causation is rooted in the comparative probability of the connecting line to the (...)
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  • Probabilistic causation and the pre-emption problem.Peter Menzies - 1996 - Mind 105 (417):85-117.
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  • (1 other version)Prevention, preemption, and the principle of sufficient reason.Christopher Hitchcock - 2007 - Philosophical Review 116 (4):495-532.
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  • Where’s the biff?Toby Handfield, Charles R. Twardy, Kevin B. Korb & Graham Oppy - 2008 - Erkenntnis 68 (2):149-68.
    This paper presents an attempt to integrate theories of causal processes—of the kind developed by Wesley Salmon and Phil Dowe—into a theory of causal models using Bayesian networks. We suggest that arcs in causal models must correspond to possible causal processes. Moreover, we suggest that when processes are rendered physically impossible by what occurs on distinct paths, the original model must be restricted by removing the relevant arc. These two techniques suffice to explain cases of late preëmption and other cases (...)
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  • Actual causation and the art of modeling.Joseph Halpern & Christopher Hitchcock - 2010 - In Halpern Joseph & Hitchcock Christopher (eds.), Causality, Probability, and Heuristics: A Tribute to Judea Pearl. College Publications. pp. 383-406.
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