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Manipulation and the Causal Markov Condition

Published online by Cambridge University Press:  01 January 2022

Daniel Hausman  and
James Woodward
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Abstract

This paper explores the relationship between a manipulability conception of causation and the causal Markov condition (CM). We argue that violations of CM also violate widely shared expectations—implicit in the manipulability conception—having to do with the absence of spontaneous correlations. They also violate expectations concerning the connection between independence or dependence relationships in the presence and absence of interventions.

Information

Type
Causation and Bayesian Networks
Information
Philosophy of Science , Volume 71 , Issue 5: Proceedings of the 2002 Biennial Meeting of The Philosophy of Science Association. Part II: Symposia Papers , December 2004 , pp. 846 - 856
Copyright
Copyright © 2004 by the Philosophy of Science Association

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References

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