Complex Causal Structures Extensions of a Regularity Theory of Causation
نویسندگان
چکیده
منابع مشابه
Learning Complex Causal Structures
Most current theories of human causal learning are essentially parameter estimators: they assume a fixed causal structure and estimate causal strengths within that structure. In these theories, absence of causation is represented as zero causal strength, rather than a distinct causal structure. In this paper, we first present the theoretical framework of Bayesian networks, which can represent b...
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