The authors argue that human causal cognition is adapted to the human niche and that incorporating human-like inductive biases, such as causal analogies and coarse-graining, could improve ML systems beyond what SCMs offer.
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Causality in the human niche: lessons for machine learning
The authors argue that human causal cognition is adapted to the human niche and that incorporating human-like inductive biases, such as causal analogies and coarse-graining, could improve ML systems beyond what SCMs offer.