Woodward, James (2020) Flagpoles Anyone? Causal and Explanatory Asymmetries. [Preprint]
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Abstract
This paper discusses some procedures developed in recent work in machine learning for inferring causal direction from observational data. The role of independence and invariance assumptions is emphasized. Several familiar examples including Hempel’s flagpole problem are explored in the light of these ideas. The framework is then applied to problems having to do with explanatory direction in non-causal explanation.
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| Item Type: | Preprint | ||||||
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| Keywords: | causal asymmetry, direction of causation, direction of explanation, invariance, independence, machine learning | ||||||
| Subjects: | General Issues > Causation General Issues > Evidence General Issues > Explanation |
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| Depositing User: | Jim Woodward | ||||||
| Date Deposited: | 02 Jul 2020 02:29 | ||||||
| Last Modified: | 02 Jul 2020 02:29 | ||||||
| Item ID: | 17419 | ||||||
| Subjects: | General Issues > Causation General Issues > Evidence General Issues > Explanation |
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| Date: | July 2020 | ||||||
| URI: | https://philsci-archive.pitt.edu/id/eprint/17419 |
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