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  1. Cause and Chance: Causation in an Indeterministic World.Phil Dowe & Paul Noordhof (eds.) - 2003 - New York: Routledge.
    Philosophers have long been fascinated by the connection between cause and effect: are 'causes' things we can experience, or are they concepts provided by our minds? The study of causation goes back to Aristotle, but resurged with David Hume and Immanuel Kant, and is now one of the most important topics in metaphysics. Most of the recent work done in this area has attempted to place causation in a deterministic, scientific, worldview. But what about the unpredictable and chancey world we (...)
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  • Review: The Grand Leap; Reviewed Work: Causation, Prediction, and Search. [REVIEW]Peter Spirtes, Clark Glymour & Richard Scheines - 1996 - British Journal for the Philosophy of Science 47 (1):113-123.
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  • Information leakage from logically equivalent frames.Shlomi Sher & Craig R. M. McKenzie - 2006 - Cognition 101 (3):467-494.
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  • Difference-making in context.Peter Menzies - 2004 - In John Collins, Ned Hall & Laurie Paul (eds.), Causation and Counterfactuals. MIT Press.
    Several different approaches to the conceptual analysis of causation are guided by the idea that a cause is something that makes a difference to its effects. These approaches seek to elucidate the concept of causation by explicating the concept of a difference-maker in terms of better-understood concepts. There is no better example of such an approach than David Lewis’ analysis of causation, in which he seeks to explain the concept of a difference-maker in counterfactual terms. Lewis introduced his counterfactual theory (...)
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  • Causation and Counterfactuals.John Collins, Ned Hall & Laurie Paul (eds.) - 2004 - MIT Press.
    Thirty years after Lewis's paper, this book brings together some of the most important recent work connecting—or, in some cases, disputing the connection ...
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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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  • Causality: Models, Reasoning and Inference.Judea Pearl - 2000 - New York: Cambridge University Press.
    Causality offers the first comprehensive coverage of causal analysis in many sciences, including recent advances using graphical methods. Pearl presents a unified account of the probabilistic, manipulative, counterfactual and structural approaches to causation, and devises simple mathematical tools for analyzing the relationships between causal connections, statistical associations, actions and observations. The book will open the way for including causal analysis in the standard curriculum of statistics, artificial intelligence, business, epidemiology, social science and economics.
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  • Against Arguments from Reference.Ron Mallon, Edouard Machery, Shaun Nichols & Stephen Stich - 2009 - Philosophy and Phenomenological Research 79 (2):332 - 356.
    It is common in various quarters of philosophy to derive philosophically significant conclusions from theories of reference. In this paper, we argue that philosophers should give up on such 'arguments from reference.' Intuitions play a central role in establishing theories of reference, and recent cross-cultural work suggests that intuitions about reference vary across cultures and between individuals within a culture (Machery et al. 2004). We argue that accommodating this variation within a theory of reference undermines arguments from reference.
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  • Causation: An alternative.Wolfgang Spohn - 2006 - British Journal for the Philosophy of Science 57 (1):93-119.
    The paper builds on the basically Humean idea that A is a cause of B iff A and B both occur, A precedes B, and A raises the metaphysical or epistemic status of B given the obtaining circumstances. It argues that in pursuit of a theory of deterministic causation this ‘status raising’ is best explicated not in regularity or counterfactual terms, but in terms of ranking functions. On this basis, it constructs a rigorous theory of deterministic causation that successfully deals (...)
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  • Causal powers.Eric Hiddleston - 2005 - British Journal for the Philosophy of Science 56 (1):27-59.
    Nancy Cartwright offers an account of causal powers, and argues that it explains some important general features of scientific method. Patricia Cheng argues that this theory is superior as a psychological theory of learning to standard models of conditioning. I extend and develop the theory, and argue that it provides the best explanation of a number of problem cases for philosophical theories of causation, including preemption, overdetermination and puzzles about transitivity. Hitchcock and Halpern & Pearl on ‘actual causes’ Problems and (...)
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  • The intransitivity of causation revealed in equations and graphs.Christopher Hitchcock - 2001 - Journal of Philosophy 98 (6):273-299.
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  • Causation. Reprinted with postscripts in.David Lewis - 1986 - Philosophical Papers 2.
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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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  • The role of covariation versus mechanism information in causal attribution.Woo-Kyoung Ahn, Charles W. Kalish, Douglas L. Medin & Susan A. Gelman - 1995 - Cognition 54 (3):299-352.
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  • An action-related theory of causality.Donald Gillies - 2005 - British Journal for the Philosophy of Science 56 (4):823-842.
    The paper begins with a discussion of Russell's view that the notion of cause is unnecessary for science and can therefore be eliminated. It is argued that this is true for theoretical physics but untrue for medicine, where the notion of cause plays a central role. Medical theories are closely connected with practical action (attempts to cure and prevent disease), whereas theoretical physics is more remote from applications. This suggests the view that causal laws are appropriate in a context where (...)
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  • Review: C ause and Chance: Causation in an Indeterministic World.Clark Glymour - 2005 - Mind 114 (455):728-733.
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  • From covariation to causation: A causal power theory.Patricia W. Cheng - 1997 - Psychological Review 104 (2):367-405.
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  • Assessing interactive causal influence.Laura R. Novick & Patricia W. Cheng - 2004 - Psychological Review 111 (2):455-485.
    The discovery of conjunctive causes--factors that act in concert to produce or prevent an effect--has been explained by purely covariational theories. Such theories assume that concomitant variations in observable events directly license causal inferences, without postulating the existence of unobservable causal relations. This article discusses problems with these theories, proposes a causal-power theory that overcomes the problems, and reports empirical evidence favoring the new theory. Unlike earlier models, the new theory derives (a) the conditions under which covariation implies conjunctive causation (...)
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  • Probabilistic cause, edge conditions, late preemption, and discrete cases.Igal Kvart - 2003 - In Phil Dowe & Paul Noordhof (eds.), Cause and Chance: Causation in an Indeterministic World. New York: Routledge. pp. 163-188.
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  • A Counterfactual Analysis of Indeterministic Causation.Murali Ramachandran - 2004 - In John Collins, Ned Hall & Laurie Paul (eds.), Causation and Counterfactuals. MIT Press.
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  • David Lewis and the analysis of counterfactuals.Donald Nute - 1976 - Noûs 10 (3):355-361.
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  • The Mind's Arrows: Bayes Nets and Graphical Causal Models in Psychology.C. Hitchcock - 2003 - Erkenntnis 59 (1):136-140.
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  • Interdeterministic causation and varieties of chance-raising.Murali Ramachandran - 2003 - In Phil Dowe & Paul Noordhof (eds.), Cause and Chance: Causation in an Indeterministic World. New York: Routledge.
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  • La perception de la causalité.Albert Michotte - 1946 - Les Etudes Philosophiques 10 (2):308-309.
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