Philosophy of Science 71 (3):241-262 (2004)
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The investigation of probabilistic causality has been plagued by a variety of misconceptions and misunderstandings. One has been the thought that the aim of the probabilistic account of causality is the reduction of causal claims to probabilistic claims. Nancy Cartwright (1979) has clearly rebutted that idea. Another ill-conceived idea continues to haunt the debate, namely the idea that contextual unanimity can do the work of objective homogeneity. It cannot. We argue that only objective homogeneity in combination with a causal interpretation of Bayesian networks can provide the desired criterion of probabilistic causality.
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DOI | 10.1086/421534 |
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References found in this work BETA
The Disorder of Things: Metaphysical Foundations of the Disunity of Science.John Dupré - 1993 - Harvard University Press.
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference.Judea Pearl - 1988 - Morgan Kaufmann.
Causal Necessity: A Pragmatic Investigation of the Necessity of Laws.Brian Skyrms - 1980 - Yale University Press.
Causality: Models, Reasoning and Inference.Judea Pearl - 2000 - Tijdschrift Voor Filosofie 64 (1):201-202.
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Citations of this work BETA
Actual Causation by Probabilistic Active Paths.Charles R. Twardy & Kevin B. Korb - 2011 - Philosophy of Science 78 (5):900-913.
Idealist Origins: 1920s and Before.Martin Davies & Stein Helgeby - 2014 - In Graham Oppy & Nick Trakakis (eds.), History of Philosophy in Australia and New Zealand. Dordrecht, Netherlands: Springer. pp. 15-54.
Should Causal Models Always Be Markovian? The Case of Multi-Causal Forks in Medicine.Donald Gillies & Aidan Sudbury - 2013 - European Journal for Philosophy of Science 3 (3):275-308.
Current Bibliography of the History of Science and Its Cultural Influences 2005.Stephen P. Weldon - 2005 - Isis 96:1-242.
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