David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
British Journal for the Philosophy of Science 56 (1):3-26 (2005)
The causal Markov condition (CMC) plays an important role in much recent work on the problem of causal inference from statistical data. It is commonly thought that the CMC is a more problematic assumption for genuinely indeterministic systems than for deterministic ones. In this essay, I critically examine this proposition. I show how the usual motivation for the CMC—that it is true of any acyclic, deterministic causal system in which the exogenous variables are independent—can be extended to the indeterministic case. In light of this result, I consider several arguments for supposing indeterminism a particularly hostile environment for the CMC, but conclude that none are persuasive. Introduction Functional models and directed graphs The causal Markov theorem The causal Markov theorem and genuine indeterminism Are the exogenous variables independent? EPR Conclusion.
|Keywords||No keywords specified (fix it)|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
No references found.
Citations of this work BETA
Frederick Eberhardt (2009). Introduction to the Epistemology of Causation. Philosophy Compass 4 (6):913-925.
Isabelle Drouet (2012). Causal Reasoning, Causal Probabilities, and Conceptions of Causation. Studies in History and Philosophy of Science Part C 43 (4):761-768.
Frederick Eberhardt & Richard Scheines (2007). Interventions and Causal Inference. Philosophy of Science 74 (5):981-995.
Jim Bogen (2008). Causally Productive Activities. Studies in History and Philosophy of Science Part A 39 (1):112-123.
Jaakko Kuorikoski (2012). Mechanisms, Modularity and Constitutive Explanation. Erkenntnis 77 (3):361-380.
Similar books and articles
Jiji Zhang & Peter Spirtes, A Transformational Characterization of Markov Equivalence for Directed Maximal Ancestral Graphs.
Nancy Cartwright (2006). From Metaphysics to Method: Comments on Manipulability and the Causal Markov Condition. British Journal for the Philosophy of Science 57 (1):197-218.
DM Hausman & J. Woodward (1999). Independence, Invariance and the Causal Markov Condition. British Journal for the Philosophy of Science 50 (4):521-583.
Iain Martel (2008). The Principle of the Common Cause, the Causal Markov Condition, and Quantum Mechanics: Comments on Cartwright. In Luc Bovens, Carl Hoefer & Stephan Hartmann (eds.), Nancy Cartwright's Philosophy of Science. Routledge. 242-262.
Nancy Cartwright (2002). Against Modularity, the Causal Markov Condition, and Any Link Between the Two: Comments on Hausman and Woodward. British Journal for the Philosophy of Science 53 (3):411-453.
Daniel Steel (2006). Comment on Hausman & Woodward on the Causal Markov Condition. British Journal for the Philosophy of Science 57 (1):219-231.
Daniel M. Hausman & James Woodward (2004). Modularity and the Causal Markov Condition: A Restatement. British Journal for the Philosophy of Science 55 (1):147-161.
Mauricio Suárez & Iñaki San Pedro (2010). Causal Markov, Robustness and the Quantum Correlations. In Mauricio Suarez (ed.), Causes, Probabilities and Propensities in Physics. Springer. 173–193.
Isabelle Drouet (2009). Is Determinism More Favorable Than Indeterminism for the Causal Markov Condition? Philosophy of Science 76 (5):662-675.
Added to index2009-01-28
Total downloads16 ( #120,206 of 1,692,490 )
Recent downloads (6 months)4 ( #59,665 of 1,692,490 )
How can I increase my downloads?