Hume'S Representational Conditions for Causal Judgment: What Bayesian Formalization Abstracted Away
Hume's account of causal judgment presupposes three representational conditions: experiential grounding, structured retrieval, and virtue-based justification. Researchers have formalized these conditions using Bayesian networks, but a new study argues that this formalization abstracts away from the original conditions. The study proposes a more nuanced understanding of Hume's representational conditions, which could lead to a deeper understanding of causal judgment and its implications for artificial intelligence.
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