A theory of causal learning in children: Causal maps and Bayes nets

Article English OPEN
Gopnik, A; Glymour, C; Sobel, D M; Schulz, L E; Kushnir, T; Danks, D;
(2004)
  • Publisher: eScholarship, University of California
  • Subject: Bayes nets | causation | learning | theories. cognitive development

The authors outline a cognitive and computational account of causal learning in children. They propose that children use specialized cognitive systems that allow them to recover an accurate "causal map" of the world: an abstract, coherent, learned representation of the ... View more
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