Eberhardt, Frederick and Scheines, Richard (2006) Interventions and Causal Inference. In: UNSPECIFIED.
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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) | |||||||||
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| Keywords: | causation, (different types of) interventions, optimal sequences of experiments | |||||||||
| Subjects: | Specific Sciences > Artificial Intelligence General Issues > Causation |
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| Depositing User: | Dr Frederick Eberhardt | |||||||||
| Date Deposited: | 13 Oct 2006 | |||||||||
| Last Modified: | 07 Oct 2010 15:14 | |||||||||
| Item ID: | 2944 | |||||||||
| Subjects: | Specific Sciences > Artificial Intelligence General Issues > Causation |
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| Date: | 2006 | |||||||||
| URI: | https://philsci-archive.pitt.edu/id/eprint/2944 |
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