David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
Learn more about PhilPapers
European Journal for Philosophy of Science 3 (3):275-308 (2013)
The development of causal modelling since the 1950s has been accompanied by a number of controversies, the most striking of which concerns the Markov condition. Reichenbach's conjunctive forks did satisfy the Markov condition, while Salmon's interactive forks did not. Subsequently some experts in the field have argued that adequate causal models should always satisfy the Markov condition, while others have claimed that non-Markovian causal models are needed in some cases. This paper argues for the second position by considering the multi-causal forks, which are widespread in contemporary medicine (Section 2). A non-Markovian causal model for such forks is introduced and shown to be mathematically tractable (Sections 6, 7, and 8). The paper also gives a general discussion of the controversy about the Markov condition (Section 1), and of the related controversy about probabilistic causality (Sections 3, 4, and 5).
|Keywords||Probabilistic causality Conjunctive forks Interactive forks Multi-causal forks Markov condition Bayesian networks Causal factors Heart disease|
|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
Karl R. Popper (1989/2002). Conjectures and Refutations: The Growth of Scientific Knowledge. Routledge.
Judea Pearl (2000). Causality: Models, Reasoning, and Inference. Cambridge University Press.
Nancy Cartwright (1989). Nature's Capacities and Their Measurement. Oxford University Press.
Judea Pearl (1988). Probabilistic Reasoning in Intelligent Systems. Morgan Kaufmann.
Peter Spirtes, Clark Glymour & Richard Scheines (1996). Causation, Prediction, and Search. British Journal for the Philosophy of Science 47 (1):113-123.
Citations of this work BETA
No citations found.
Similar books and articles
Wesley C. Salmon (1980). Causality: Production and Propagation. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1980:49 - 69.
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.
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.
Peter Spirtes (2011). Intervention, Determinism, and the Causal Minimality Condition. Synthese 182 (3):335-347.
Daniel Steel (2005). Indeterminism and the Causal Markov Condition. British Journal for the Philosophy of Science 56 (1):3-26.
Bruce Glymour (2008). Stable Models and Causal Explanation in Evolutionary Biology. Philosophy of Science 75 (5):571-583.
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.
Toby Handfield, Charles R. Twardy, Kevin B. Korb & Graham Oppy (2008). The Metaphysics of Causal Models: Where's the Biff? Erkenntnis 68 (2):149-68.
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.
Charles Kemp, Noah D. Goodman & Joshua B. Tenenbaum (2010). Learning to Learn Causal Models. Cognitive Science 34 (7):1185-1243.
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.
Added to index2012-07-27
Total downloads343 ( #4,935 of 1,790,304 )
Recent downloads (6 months)47 ( #18,723 of 1,790,304 )
How can I increase my downloads?