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Probabilistic models as theories of children's minds
Behavioral and Brain Sciences 34 (4):200-201 (2011)
Abstract
My research program proposes that children have representations and learning mechanisms that can be characterized as causal models of the world Bayesian Fundamentalism.”Author's Profile
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Citations of this work
Concepts in change.Anna-Mari Rusanen & Samuli Pöyhönen - 2013 - Science & Education 22 (6):1389–1403.
From Alan Turing to modern AI: practical solutions and an implicit epistemic stance.George F. Luger & Chayan Chakrabarti - 2017 - AI and Society 32 (3):321-338.
References found in this work
Causality: Models, Reasoning and Inference.Judea Pearl - 2000 - New York: Cambridge University Press.
A Theory of Causal Learning in Children: Causal Maps and Bayes Nets.Alison Gopnik, Clark Glymour, Laura Schulz, Tamar Kushnir & David Danks - 2004 - Psychological Review 111 (1):3-32.
Causality: Models, reasoning and inference.Christopher Hitchcock - 2001 - Philosophical Review 110 (4):639-641.
Causal learning: psychology, philosophy, and computation.Alison Gopnik & Laura Schulz (eds.) - 2007 - New York: Oxford University Press.
Children's causal inferences from indirect evidence: Backwards blocking and Bayesian reasoning in preschoolers.D. Sobel - 2004 - Cognitive Science 28 (3):303-333.
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