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The Logic of Counterfactuals and the Epistemology of Causal Inference
The 2021 Nobel Prize in Economics recognized a theory of causal inference, which deserves more attention from philosophers.
On Learning Causal Structures from Non-Experimental Data without Any Faithfulness Assumption
Then we prove a result to the following effect: for any learning algorithm that tackles the causal learning problem in question, if it achieves the best achievable mode of convergence (considered in this paper), then it must follow the standard design practice of converging to the truth for at least all CBNs that satisfy the faithfulness condition---it is a requirement, not an option.
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