This category needs an editor. We encourage you to help if you are qualified.
Volunteer, or read more about what this involves.
Related categories

90 found
Order:
1 — 50 / 90
  1. added 2018-11-01
    A New Proposal How to Handle Counterexamples to Markov Causation a la Cartwright, Or: Fixing the Chemical Factory.Alexander Gebharter & Nina Retzlaff - forthcoming - Synthese:1-20.
    Cartwright (1999a, 1999b) attacked the view that causal relations conform to the Markov condition by providing a counterexample in which a common cause does not screen off its effects: the prominent chemical factory. In this paper we suggest a new way to handle counterexamples to Markov causation such as the chemical factory. We argue that Cartwright’s as well as similar scenarios (such as decay processes, EPR/B experiments, or spontaneous macro breaking processes) feature a certain kind of non-causal dependence that kicks (...)
    Remove from this list   Direct download (4 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  2. added 2018-06-01
    On the Relevance of Statistical Relevance Theory.Stephen P. Turner - 1982 - Theory and Decision 14 (2):195-205.
    In Salmon's discussion of his account of statistical relevance and statistical explanation there is a peculiarity in the selection of examples. Where he wishes to show that statistical accounts are reasonably treated as explanatory, he draws examples from the social sciences, such as juvenile delinquency. But when he explains the concept of 'causal' relevance, the examples are selected from the natural sciences. This conceals difficulties with salmon's account of causality in the face of multiple causes such as are characteristic of (...)
    Remove from this list   Direct download (3 more)  
     
    Export citation  
     
    Bookmark   4 citations  
  3. added 2018-05-27
    Alexander Gebharter: Causal Nets, Interventionism, and Mechanisms. Philosophical Foundations and Applications.Lorenzo Casini - 2018 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 49 (3):481-485.
  4. added 2018-02-12
    Erratum To: Causality as a Theoretical Concept: Explanatory Warrant and Empirical Content of the Theory of Causal Nets.Gerhard Schurz & Alexander Gebharter - 2016 - Synthese 193 (4):1105-1106.
  5. added 2018-02-09
    Storrs McCall's Tree of The Universe and Counterfactuals شجرة الكون وقضايا مناقضة الواقع عند ستورس مكال.Salah Osman - 1999 - Journal of the Faculty of Arts, Menoufia University 2956-2090 39:83 – 128.
    لم يكن العلم يومًا غريبًا عن الفلسفة، بل لقد أدت العلاقة الجدلية المستمرة بينهما إلى مزيد من المصداقية والقبول لبعض النماذج التفسيرية، سواء منها ما كان في الأصل نموذجًا فلسفيًا ثم وجد دعمًا علميًا – كنموذج الذرات والفـراغ عند «ديمرقــريطس» وتبنى النظرية الذرية الحديثة لإطاره العام – أو ما كان منها نموذجًا علميًا تم تداوله فلسفيًا – كنموذج النقاط المادية المتجاذبة عند »نيوتن« وتبنى معظم فلاسفة الحقبة الحديثة له. وفي هذا المقال يهتم الدكتور صلاح عثمان بمناقشة نموذج شجرة الكون لفيلسوف (...)
    Remove from this list   Direct download (2 more)  
    Translate
     
     
    Export citation  
     
    Bookmark  
  6. added 2017-09-21
    Wesley Salmon’s Intellectual Odyssey and Achievements.Adolf Grünbaum - 2004 - Philosophy of Science 71 (5):922-925.
    Opening Remarks of the Chairman at “Wesley C. Salmon, 1925–2001”: A Symposium Honoring his Contributions to the Philosophy of Science.
    Remove from this list   Direct download (5 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  7. added 2017-09-21
    Wesley C. Salmon, 1925-2001.Adolf Grünbaum - 2001 - Proceedings and Addresses of the American Philosophical Association 75 (2):125 - 127.
    Remove from this list   Direct download  
     
    Export citation  
     
    Bookmark   2 citations  
  8. added 2017-09-21
    Review: Causation, Probability, and Chance. [REVIEW]Paul Noordhof - 1998 - Mind 107 (428):855 - 875.
  9. added 2017-09-21
    Reichenbach, Causation, and Explanation.Richard Otte - 1986 - PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1986:59 - 65.
    This paper investigates the differences between two conceptions of causation which are claimed to amount for causation in indeterministic situations. Recent analyses of indeterministic causation have been based upon mark transmission, and upon probability relations. Both types of analyses were proposed by Reichenbach, who claimed that they were extensionally equivalent. I demonstrate that they are not equivalent, and discuss some implications of this for models of scientific explanation.
    Remove from this list   Direct download  
     
    Export citation  
     
    Bookmark  
  10. added 2017-09-21
    Suppes, P., "Probabilistic Metaphysics". [REVIEW]D. Ruben - 1985 - Mind 94:637.
    Remove from this list  
     
    Export citation  
     
    Bookmark  
  11. added 2017-09-21
    A Probabilistic Theory of Causal Necessity.Deborah A. Rosen - 1980 - Southern Journal of Philosophy 18 (1):71-86.
    This paper attempts to set up a probabilistic framework for understanding the notion of causal necessity. What results is a relaxed and relativized probabilistic theory of epsilon-Causal necessity and an explicit attempt to avoid deterministic assumptions. The theory developed emphasizes the notions of partial cause, Causal contribution, And the degree of contribution. Implications for causal overdetermination, Causal preemption, And causal discourse are discussed.
    Remove from this list   Direct download (6 more)  
     
    Export citation  
     
    Bookmark  
  12. added 2017-09-21
    Wesley C. Salmon.Inductive Logic - 1969 - In Nicholas Rescher (ed.), Essays in Honor of Carl G. Hempel. Reidel. pp. 24--47.
  13. added 2017-09-19
    Causality From Probability.Peter Spirtes, Clark Glymour & Richard Scheines - unknown
    Data analysis that merely fits an empirical covariance matrix or that finds the best least squares linear estimator of a variable is not of itself a reliable guide to judgements about policy, which inevitably involve causal conclusions. The policy implications of empirical data can be completely reversed by alternative hypotheses about the causal relations of variables, and the estimates of a particular causal influence can be radically altered by changes in the assumptions made about other dependencies.2 For these reasons, one (...)
    Remove from this list   Direct download (4 more)  
     
    Export citation  
     
    Bookmark  
  14. added 2017-09-19
    The Principle of the Common Cause, the Causal Markov Condition, and Quantum Mechanics: Comments on Cartwright.Iain Martel - 2008 - In Luc Bovens, Carl Hoefer & Stephan Hartmann (eds.), Nancy Cartwright’s Philosophy of Science. Routledge. pp. 242-262.
    Nancy Cartwright believes that we live in a Dappled World– a world in which theories, principles, and methods applicable in one domain may be inapplicable in others; in which there are no universal principles. One of the targets of Cartwright’s arguments for this conclusion is the Causal Markov condition, a condition which has been proposed as a universal condition on causal structures.1 The Causal Markov condition, Cartwright argues, is applicable only in a limited domain of special cases, and thus cannot (...)
    Remove from this list   Direct download  
     
    Export citation  
     
    Bookmark   1 citation  
  15. added 2017-09-19
    From Probability to Causality.Peter Spirtes, Clark Glymour & Richard Scheines - 1991 - Philosophical Studies 64 (1):1 - 36.
  16. added 2017-09-19
    Causality From Probability.Peter Spirtes, Clark Glymour & Rcihard Scheines - unknown
    Peter Spirtes, Clark Glymour and Richard Scheines. Causality From Probability.
    Remove from this list   Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  17. added 2017-09-19
    James H. Fetzer, Ed., Probability and Causality: Essays in Honor of Wesley C. Salmon Reviewed By.Patrick Maher - 1988 - Philosophy in Review 8 (10):390-393.
    Remove from this list  
     
    Export citation  
     
    Bookmark  
  18. added 2017-07-13
    Concrete Causation: About the Structures of Causal Knowledge.Roland Poellinger - 2012 - Dissertation, LMU Munich
    Concrete Causation centers about theories of causation, their interpretation, and their embedding in metaphysical-ontological questions, as well as the application of such theories in the context of science and decision theory. The dissertation is divided into four chapters, that firstly undertake the historical-systematic localization of central problems (chapter 1) to then give a rendition of the concepts and the formalisms underlying David Lewis' and Judea Pearl's theories (chapter 2). After philosophically motivated conceptual deliberations Pearl's mathematical-technical framework is drawn on for (...)
    Remove from this list   Direct download  
     
    Export citation  
     
    Bookmark  
  19. added 2017-06-14
    Is Causal Induction Based on Causal Power? Critique of Cheng.Klaus Lober & David R. Shanks - 2000 - Psychological Review 107 (1):195-212.
    Remove from this list   Direct download  
     
    Export citation  
     
    Bookmark   11 citations  
  20. added 2017-06-07
    A New Notion of Causal Closedness.Leszek Wroński & Michał Marczyk - 2014 - Erkenntnis 79 (S3):1-26.
    In recent years part of the literature on probabilistic causality concerned notions stemming from Reichenbach’s idea of explaining correlations between not directly causally related events by referring to their common causes. A few related notions have been introduced, e.g. that of a “common cause system” (Hofer-Szabó and Rédei in Int J Theor Phys 43(7/8):1819–1826, 2004) and “causal (N-)closedness” of probability spaces (Gyenis and Rédei in Found Phys 34(9):1284–1303, 2004; Hofer-Szabó and Rédei in Found Phys 36(5):745–756, 2006). In this paper we (...)
    Remove from this list   Direct download (5 more)  
     
    Export citation  
     
    Bookmark  
  21. added 2017-06-07
    Probabilistic Theories.Jon Williamson - 2009 - In Helen Beebee, Christopher Hitchcock & Peter Menzies (eds.), The Oxford Handbook of Causation. Oxford University Press.
    Remove from this list  
     
    Export citation  
     
    Bookmark   12 citations  
  22. added 2017-06-07
    A Probablistic Analysis of Causation.S. R. Yan - 1990 - Philosophy 34:171-196.
    Remove from this list  
     
    Export citation  
     
    Bookmark  
  23. added 2017-05-23
    Causation, Prediction, and Search.Peter Spirtes, Clark Glymour, Scheines N. & Richard - 2000 - Mit Press: Cambridge.
  24. added 2017-04-22
    Causes as Probability Raisers of Processes.Jonathan Schaffer - 2001 - Journal of Philosophy 98 (2):75.
  25. added 2017-04-22
    Sayre's Statistical Model of Causal Relations. Shrader - 1978 - Philosophy of Science 45 (4):630-632.
    Remove from this list   Direct download (7 more)  
     
    Export citation  
     
    Bookmark  
  26. added 2017-03-31
    Statistical Models of Causal Relations.Kenneth M. Sayre - 1977 - Philosophy of Science 44 (2):203-214.
    A model of causation is presented which shares the advantages of Reichenbach's definition in terms of the screening-off relation, but which has the added advantage of distinguishing cause and effect without reference to temporal directionality. This model is defined in terms of the masking relation, which in turn is defined in terms of the equivocation relation of communication theory.
    Remove from this list   Direct download (7 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  27. added 2017-02-23
    Probabilistic Causality: In Defense of the Unanimity Theory.Joonsung Kim - 2002 - Dissertation, The University of Wisconsin - Madison
    My dissertation defends the theory of probabilistic causation called "the unanimity theory" against three challenges, which I call "the metaphysical challenge", "the conceptual challenge" and "the methodological challenge". I argue that the unanimity theory meets these three challenges, and coheres with each of the three theories of probabilistic causation that have been naturally inspired by the three challenges. I conclude that the unanimity theory constitutes a foundation of the three theories, which in fact reveals the versatility of the unanimity theory. (...)
    Remove from this list  
     
    Export citation  
     
    Bookmark  
  28. added 2017-02-23
    Explanatory Relations Between the Direction of Causation and the Fork Asymmetry.Paul Horwich - 1993 - Analysis 53 (3):154 - 155.
    Remove from this list   Direct download (4 more)  
     
    Export citation  
     
    Bookmark  
  29. added 2017-02-23
    Causal Modeling and the Statistical Analysis of Causation.Gurol Irzik - 1986 - PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1986:12 - 23.
    Recent philosophical studies of probabilistic causation and statistical explanation have opened up the possibility of unifying philosophical approaches with causal modeling as practiced in the social and biological sciences. This unification rests upon the statistical tools employed, the principle of common cause, the irreducibility of causation to statistics, and the idea of causal process as a suitable framework for understanding causal relationships. These four areas of contact are discussed with emphasis on the relevant aspects of causal modeling.
    Remove from this list   Direct download  
     
    Export citation  
     
    Bookmark  
  30. added 2017-02-22
    Probabilistic Causality and Causal Generalizations.Daniel M. Hausman - 2010 - In Ellery Eells & James H. Fetzer (eds.), The Place of Probability in Science. Springer. pp. 47--63.
  31. added 2017-02-22
    Causal Priority at the Singular Level: Fork Asymmetry-Based Accounts Meet the Generalization Strategy.Linda Leanne Habeeb - 1998 - Dissertation, City University of New York
    I dissect one particular strategy for explaining causal priority: the fork asymmetry strategy. I argue that the best objections that have been raised are objections to versions which are less than optimal. I develop the strongest version of the principle and argue that this stronger version is fully equipped to explain causal priority at the type level. So far so good. But, I discover and attempt to deal with one remaining and perhaps insurmountable problem--Fork asymmetry accounts cannot explain causal priority (...)
    Remove from this list  
     
    Export citation  
     
    Bookmark  
  32. added 2017-02-22
    Causal Asymmetries.Daniel M. Hausman - 1998 - Cambridge University Press.
    This book, by one of the pre-eminent philosophers of science writing today, offers the most comprehensive account available of causal asymmetries. Causation is asymmetrical in many different ways. Causes precede effects; explanations cite causes not effects. Agents use causes to manipulate their effects; they don't use effects to manipulate their causes. Effects of a common cause are correlated; causes of a common effect are not. This book explains why a relationship that is asymmetrical in one of these regards is asymmetrical (...)
    Remove from this list   Direct download  
     
    Export citation  
     
    Bookmark   28 citations  
  33. added 2017-02-22
    Cartwright on Probabilistic Causality: Types, Tokens, and CapacitiesNature's Capacities and Their Measurement. [REVIEW]Ellery Eells - 1995 - Philosophy and Phenomenological Research 55 (1):169-175.
    Remove from this list   Direct download (5 more)  
     
    Export citation  
     
    Bookmark   2 citations  
  34. added 2017-02-22
    Review: Cartwright on Probabilistic Causality: Types, Tokens, and Capacities. [REVIEW]Ellery Eells - 1995 - Philosophy and Phenomenological Research 55 (1):169 - 175.
    Remove from this list   Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  35. added 2017-02-22
    Probabilistic Causation in Scientific Explanation.Christopher Read Hitchcock - 1993 - Dissertation, University of Pittsburgh
    Salmon has argued that science provides explanations by describing a causal nexus: For Salmon, this nexus is a network of processes and interactions. I argue that this picture of the causal nexus is insufficient for an account of scientific explanation: a taxonomy of causal relevance is also needed. ;Probabilistic theories of causation seem to provide such a taxonomy in their dichotomy between promoting and inhibiting causes. However, standard probabilistic theories are beset by a difficulty called the problem of disjunctive factors. (...)
    Remove from this list  
     
    Export citation  
     
    Bookmark  
  36. added 2017-02-22
    Partitions, Probabilistic Causal Laws, and Simpson's Paradox.Valerie Gray Hardcastle - 1991 - Synthese 86 (2):209 - 228.
    Remove from this list   Direct download (6 more)  
     
    Export citation  
     
    Bookmark   2 citations  
  37. added 2017-02-22
    Correlation, Partial Correlation, and Causation.Frederick S. Ellett & David P. Ericson - 1986 - Synthese 67 (2):157-173.
    Philosophers and scientists have maintained that causation, correlation, and partial correlation are essentially related. These views give rise to various rules of causal inference. This essay considers the claims of several philosophers and social scientists for causal systems with dichotomous variables. In section 2 important commonalities and differences are explicated among four major conceptions of correlation. In section 3 it is argued that whether correlation can serve as a measure of A's causal influence on B depends upon the conception of (...)
    Remove from this list   Direct download (4 more)  
     
    Export citation  
     
    Bookmark   6 citations  
  38. added 2017-02-22
    Scientific Explanation and the Causal Structure of the World.Joseph F. Hanna - 1986 - Review of Metaphysics 39 (3):582-585.
    Remove from this list   Direct download (3 more)  
     
    Export citation  
     
    Bookmark  
  39. added 2017-02-22
    Objective Homogeneity Relativized.Joseph F. Hanna - 1986 - PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1986:422 - 431.
    In his recent book Scientific Explanation and the Causal Structure of the World Wesley Salmon provides a detailed explanation of objective homogeneity, a concept which is central to his S-R model of explanation. 1 propose a modification of Salmon's definition which both simplifies and (in minor ways) corrects it, while at the same time generalizes it by including an important temporal factor that is missing from the original. I argue that if the world is irreducibly stochastic, then objective probabilities (determined (...)
    Remove from this list   Direct download  
     
    Export citation  
     
    Bookmark  
  40. added 2017-02-09
    Probabilistic Causality, Randomization and Mixtures.Jan von Plato - 1986 - PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1986:432-437.
    A formulation of probabilistic causality is given in terms of the theory of abstract dynamical systems. Causal factors are identified as invariants of motion of a system. Repetition of an experiment leads to the notion of stationarity, and causal factors yield a decomposition of the stationary probability law of the experiment into ergodic components. In these, statistical behaviour is uniform. Control of identified causal factors leads to a corresponding statistical law for the events, which is offered as a notion of (...)
    Remove from this list   Direct download  
     
    Export citation  
     
    Bookmark  
  41. added 2017-02-09
    Probabilistic Explanation and Probabilistic Causality.Joseph F. Hanna - 1982 - PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1982:181 - 193.
    This paper argues that if the world is irreducibly stochastic, then both Salmon's S-R model of explanation and Fetzer's C-R model of explanation have the following undesirable consequence: the objective probability (associated with the model's relevance condition) of any actual macro-event is either undefined or else, if defined, it equals one--so that the event is not even a candidate for a probabilistic explanation. This result follows from the temporal ambiguity of ontic probability in an irreducibly stochastic world. It is argued (...)
    Remove from this list   Direct download  
     
    Export citation  
     
    Bookmark  
  42. added 2017-02-01
    Probabilistic Causality, Explanation, and Detection.Ben Rogers - 1981 - Synthese 48 (2):201 - 223.
  43. added 2017-01-29
    Probability and Causality.Richard Edward Otte - 1982 - Dissertation, The University of Arizona
    Probability and Causality is a critical analysis of the problem of causality in indeterministic contexts. Most philosophers who have written about probabilistic causality feel that Hume's requirement of constant conjunction should be replaced by a requirement of positive statistical relevance. After arguing that a theory of probabilistic causality is necessary to account for many causal relations, Hume's theory of probabilistic causality is analyzed. Although Hume's theory is inadequate, it does form the basis for later discussions of probabilistic causality. ;The first (...)
    Remove from this list  
     
    Export citation  
     
    Bookmark  
  44. added 2017-01-28
    A Further Note on Probabilistic Causality: Mending the Chain.I. J. Good - 1980 - Pacific Philosophical Quarterly 61 (4):452.
    Remove from this list  
     
    Export citation  
     
    Bookmark   1 citation  
  45. added 2017-01-23
    Probabilistic Causality.Wesley C. Salmon - 1980 - In Michael Tooley (ed.), Pacific Philosophical Quarterly. Oxford Up. pp. 137-153.
    Remove from this list   Direct download (2 more)  
     
    Export citation  
     
    Bookmark   23 citations  
  46. added 2017-01-19
    Probabilistic Theories of Causality.Jon Williamson - 2009 - In Helen Beebee, Peter Menzies & Christopher Hitchcock (eds.), The Oxford Handbook of Causation. Oxford University Press. pp. 185--212.
    This chapter provides an overview of a range of probabilistic theories of causality, including those of Reichenbach, Good and Suppes, and the contemporary causal net approach. It discusses two key problems for probabilistic accounts: counterexamples to these theories and their failure to account for the relationship between causality and mechanisms. It is argued that to overcome the problems, an epistemic theory of causality is required.
    Remove from this list   Direct download  
     
    Export citation  
     
    Bookmark   6 citations  
  47. added 2017-01-19
    Probabilistic Causality Reexamined.Greg Ray - 1992 - Erkenntnis 36 (2):219 - 244.
    According to Nancy Cartwright, a causal law holds just when a certain probabilistic condition obtains in all test situations which in turn satisfy a set of background conditions. These background conditions are shown to be inconsistent and, on separate account, logically incoherent. I offer a corrective reformulation which also incorporates a strategy for problems like Hesslow's thrombosis case. I also show that Cartwright's recent argument for modifying the condition to appeal to singular causes fails.Proposed modifications of the theory's probabilistic condition (...)
    Remove from this list   Direct download (6 more)  
     
    Export citation  
     
    Bookmark  
  48. added 2017-01-17
    Probabilistic Causality.Wayne A. Davis & Ellery Eells - 1993 - Philosophical Review 102 (3):410.
    Remove from this list   Direct download (3 more)  
     
    Export citation  
     
    Bookmark   13 citations  
  49. added 2016-12-18
    Rethinking Objective Homogeneity: Statistical Versus Ontic Approaches.Richard N. Burnor - 1993 - Philosophical Studies 71 (3):307 - 325.
    Remove from this list   Direct download (5 more)  
     
    Export citation  
     
    Bookmark  
  50. added 2016-12-14
    Ellery Eells on Probabilistic Causation.Mansure Ghabdian - 2011 - Philosophical Investigations: Islamic Azad University, Science andResearch Branch 7 (19):157-182.
    Remove from this list   Direct download  
     
    Export citation  
     
    Bookmark  
1 — 50 / 90