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Flagpoles Anyone? Causal and Explanatory Asymmetries

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
Creators:
CreatorsEmailORCID
Woodward, James
Keywords: causal asymmetry, direction of causation, direction of explanation, invariance, independence, machine learning
Subjects: General Issues > Causation
General Issues > Evidence
General Issues > Explanation
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
Date: July 2020
URI: https://philsci-archive-dev.library.pitt.edu/id/eprint/17419

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