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Dispositional versus epistemic causality

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Abstract

I put forward several desiderata that a philosophical theory of causality should satisfy: it should account for the objectivity of causality, it should underpin formalisms for causal reasoning, it should admit a viable epistemology, it should be able to cope with the great variety of causal claims that are made, and it should be ontologically parsimonious. I argue that Nancy Cartwright’s dispositional account of causality goes part way towards meeting these criteria but is lacking in important respects. I go on to argue that my epistemic account, which ties causal relationships to an agent’s knowledge and ignorance, performs well in the light of the desiderata. Such an account, I claim, is all we require from a theory of causality.

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References

  • Armstrong, D. (2004). Truth and truthmakers. Cambridge University Press: Cambridge.

    Google Scholar 

  • Bird, A. (2005). Laws and essences. Ratio, 18, 437–461.

    Article  Google Scholar 

  • Cartwright, N. (1983). How the laws of physics lie. Clarendon Press: Oxford.

    Google Scholar 

  • Cartwright, N. (1989). Nature’s capacities and their measurement. Clarendon Press: Oxford.

    Google Scholar 

  • Cartwright, N. (1999). The dappled world: A study of the boundaries of science. Cambridge University Press: Cambridge.

    Google Scholar 

  • Cartwright, N. (2001). What is wrong with Bayes nets? The Monist, 84(2):242–264.

    Google Scholar 

  • Cartwright, N. (2003). What makes a capacity a disposition? Causality: Metaphysics and methods discussion paper 10/03, London School of Economics Centre for Philosophy of Natural and Social Science.

  • Dowe, P. (2000). Physical causation. Cambridge University Press: Cambridge.

    Google Scholar 

  • Gillispie, S. B., & Perlman, M. D. (2002). The size distribution for Markov equivalence classes of acyclic digraph models. Artificial Intelligence, 141, 137–155.

    Article  MATH  MathSciNet  Google Scholar 

  • Glymour, B. (2003). On the metaphysics of probabilistic causation: Lessons from social epidemiology. Philosophy of Science, 70, 1413–1423.

    Article  Google Scholar 

  • Hume, D. (1748). Enquiry into the human understanding. In Enquiries concerning human understanding and concerning the principles of morals, third (1975) edition. Clarendon Press: Oxford.

  • Jaynes, E. T. (2003). Probability theory: The logic of science. Cambridge University Press: Cambridge.

    Google Scholar 

  • Kant, I. (1781). Critique of pure reason. Macmillan (1929), second (1787) edition. Trans. Norman Kemp Smith.

  • Lewis, D. K. (1973). Causation. In Philosophical papers vol 2, (pp. 159– 213). Oxford University Press (1986), Oxford.

  • Menzies, P., & Price, H. (1993). Causation as a secondary quality. British Journal for the Philosophy of Science, 44, 187–203.

    Google Scholar 

  • Mill, J.S. (1843). A system of logic, ratiocinative and inductive: Being a connected view of the principles of evidence and the methods of scientific investigation, seventh (1868) edition. Longmans Green Reader and Dyer: London.

    Google Scholar 

  • Papineau, D. (1992). Can we reduce causal direction to probabilities? Philosophy of Science Association, 1992(2), 238–252.

    Google Scholar 

  • Pearl, J. (2000). Causality: Models, reasoning, and inference. Cambridge University Press: Cambridge.

    Google Scholar 

  • Price, H. (2005). Causal perspectivalism. In: Price, H. & Corry, R., (Eds.), Causation, physics and the constitution of reality: Russell’s republic revisited. Oxford University Press: Oxford.

    Google Scholar 

  • Russell, B. (1913). On the notion of cause. Proceedings of the Aristotelian Society, 13, 1–26.

    MATH  Google Scholar 

  • Salmon, W. C. (1998). Causality and explanation. Oxford University Press: Oxford.

    Google Scholar 

  • Schaffer, J. (2005). Contrastive causation. The Philosophical Review, 114(3).

  • Shoemaker, S. (1998). Causal and metaphysical necessity. Pacific Philosophical Quarterly, 79, 59–77.

    Article  Google Scholar 

  • Spirtes, P., Glymour, C., & Scheines, R. (1993). Causation, prediction, and search, second (2000) edition. MIT Press: Cambridge, MA.

    MATH  Google Scholar 

  • Spohn, W. (2002). Bayesian nets are all there is to causal dependence. In: Galavotti, M. C., Suppes, P., & Costantini, D., (Eds.), Stochastic causality. University of Chicago Press: Chicago, IL.

    Google Scholar 

  • Suppes, P. (1970). A probabilistic theory of causality. North-Holland: Amsterdam.

    Google Scholar 

  • Williamson, J. (2005). Bayesian nets and causality: Philosophical and computational foundations. Oxford University Press: Oxford.

    Google Scholar 

  • Williamson, J. (2006). Causality. In D. Gabbay & F. Guenthner (Eds.), Handbook of philosophical logic, vol 14, Springer.

  • Williamson, J., & Gabbay, D. (2005). Recursive causality in Bayesian networks and self-fibring networks. In: D. Gillies (Ed.), Laws and models in the sciences (pp. 173–221). King’s College Publications: London. With comments pp. 223–245.

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Acknowledgments

I am very grateful to Laurence Goldstein, Federica Russo and two anonymous referees for comments on earlier drafts of this paper.

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Correspondence to Jon Williamson.

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Williamson, J. Dispositional versus epistemic causality. Minds & Machines 16, 259–276 (2006). https://doi.org/10.1007/s11023-006-9033-3

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  • DOI: https://doi.org/10.1007/s11023-006-9033-3

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