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Flagpoles anyone? Causal and explanatory asymmetries

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If you have a question about this talk, please contact Matt Farr .

This talk will discuss some procedures developed in recent work in machine learning for inferring causal direction from observational data. These procedures are of considerable philosophical interest because they illustrate the role played by independence and invariance assumptions in inferences to causal direction – features not always recognized in philosophical discussion. Several familiar examples including Hempel’s flagpole problem will be explored in the light of these ideas.

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This talk is part of the CamPoS (Cambridge Philosophy of Science) seminar series.

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