The power of intervention
Minds and Machines 16 (3) (2006)
| 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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Similar books and articlesBrian Ellis (2000). Causal Laws and Singular Causation. Philosophy and Phenomenological Research 61 (2):329-351.
Peter Spirtes (2005). Graphical Models, Causal Inference, and Econometric Models. Journal of Economic Methodology 12 (1):3-34.
Caren A. Frosch, Teresa McCormack, David A. Lagnado & Patrick Burns (2012). Are Causal Structure and Intervention Judgments Inextricably Linked? A Developmental Study. Cognitive Science 36 (2):261-285.
Charles R. Twardy, Kevin B. Korb, Graham Oppy & Toby Handfield (2011). Actual Causation by Probabilistic Active Paths. Philosophy of Science 78 (5):900-913.
Frederick Eberhardt & Richard Scheines (2007). Interventions and Causal Inference. Philosophy of Science 74 (5):981-995.
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