The power of intervention

Minds and Machines 16 (3):289-302 (2006)
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Abstract

We further develop the mathematical theory of causal interventions, extending earlier results of Korb, Twardy, Handfield, & Oppy, (2005) and Spirtes, Glymour, Scheines (2000). Some of the skepticism surrounding causal discovery has concerned the fact that using only observational data can radically underdetermine the best explanatory causal model, with the true causal model appearing inferior to a simpler, faithful model (cf. Cartwright, (2001). Our results show that experimental data, together with some plausible assumptions, can reduce the space of viable explanatory causal models to one.

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Citations of this work

Discovering Quantum Causal Models.Sally Shrapnel - 2019 - British Journal for the Philosophy of Science 70 (1):1-25.
Identifying intervention variables.Michael Baumgartner & Isabelle Drouet - 2013 - European Journal for Philosophy of Science 3 (2):183-205.

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References found in this work

Causality: Models, Reasoning and Inference.Judea Pearl - 2000 - New York: Cambridge University Press.
Causality: Models, Reasoning and Inference.Judea Pearl - 2000 - Tijdschrift Voor Filosofie 64 (1):201-202.
Two notes on the probabilistic approach to causality.Germund Hesslow - 1976 - Philosophy of Science 43 (2):290-292.
What Is Wrong With Bayes Nets?Nancy Cartwright - 2001 - The Monist 84 (2):242-264.

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