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Interventions and Causal Inference

Eberhardt, Frederick and Scheines, Richard (2006) Interventions and Causal Inference. In: [2006] Philosophy of Science Assoc. 20th Biennial Mtg (Vancouver) > PSA 2006 Contributed Papers.

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    Abstract

    The literature on causal discovery has focused on interventions that involve randomly assigning values to a single variable. But such a randomized intervention is not the only possibility, nor is it always optimal. In some cases it is impossible or it would be unethical to perform such an intervention. We provide an account of “hard” and “soft” interventions, and discuss what they can contribute to causal discovery. We also describe how the choice of the optimal intervention(s) depends heavily on the particular experimental set-up and the assumptions that can be made.


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    Item Type: Conference or Workshop Item (UNSPECIFIED)
    Keywords: causation, (different types of) interventions, optimal sequences of experiments
    Subjects: Specific Sciences > Computer Science > Artificial Intelligence
    General Issues > Causation
    Conferences and Volumes: [2006] Philosophy of Science Assoc. 20th Biennial Mtg (Vancouver) > PSA 2006 Contributed Papers
    Depositing User: Dr Frederick Eberhardt
    Date Deposited: 13 Oct 2006
    Last Modified: 07 Oct 2010 11:14
    Item ID: 2944
    URI: http://philsci-archive.pitt.edu/id/eprint/2944

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