Independence, invariance and the causal Markov condition

British Journal for the Philosophy of Science 50 (4):521-583 (1999)
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Abstract

This essay explains what the Causal Markov Condition says and defends the condition from the many criticisms that have been launched against it. Although we are skeptical about some of the applications of the Causal Markov Condition, we argue that it is implicit in the view that causes can be used to manipulate their effects and that it cannot be surrendered without surrendering this view of causation.

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Author Profiles

Daniel Hausman
University of Wisconsin, Madison
James Woodward
University of Pittsburgh

References found in this work

Nature's capacities and their measurement.Nancy Cartwright - 1989 - New York: Oxford University Press.
Causal Asymmetries.Daniel M. Hausman - 1998 - New York: Cambridge University Press.

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