Psychological Review 111 (1):3-32 (2004)

Authors
David Danks
Carnegie Mellon University
Alison Gopnik
University of California, Berkeley
Abstract
We propose that children employ specialized cognitive systems that allow them to recover an accurate “causal map” of the world: an abstract, coherent, learned representation of the causal relations among events. This kind of knowledge can be perspicuously understood in terms of the formalism of directed graphical causal models, or “Bayes nets”. Children’s causal learning and inference may involve computations similar to those for learning causal Bayes nets and for predicting with them. Experimental results suggest that 2- to 4-year-old children construct new causal maps and that their learning is consistent with the Bayes net formalism.
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DOI 10.1037/0033-295x.111.1.3
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References found in this work BETA

A Treatise of Human Nature.David Hume & A. D. Lindsay - 1958 - Philosophical Quarterly 8 (33):379-380.
The Direction of Time.Hans Reichenbach - 1956 - Dover Publications.
Causality.Judea Pearl - 2000 - Cambridge University Press.

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Person as Scientist, Person as Moralist.Joshua Knobe - 2010 - Behavioral and Brain Sciences 33 (4):315.

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