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Learning the Form of Causal Relationships Using Hierarchical Bayesian Models
Cognitive Science 34 (1):113-147 (2010)
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Citations of this work
When children are better (or at least more open-minded) learners than adults: Developmental differences in learning the forms of causal relationships.Christopher G. Lucas, Sophie Bridgers, Thomas L. Griffiths & Alison Gopnik - 2014 - Cognition 131 (2):284-299.
Learning to Learn Causal Models.Charles Kemp, Noah D. Goodman & Joshua B. Tenenbaum - 2010 - Cognitive Science 34 (7):1185-1243.
Judging the Probability of Hypotheses Versus the Impact of Evidence: Which Form of Inductive Inference Is More Accurate and Time‐Consistent?Katya Tentori, Nick Chater & Vincenzo Crupi - 2016 - Cognitive Science 40 (3):758-778.
Successful structure learning from observational data.Anselm Rothe, Ben Deverett, Ralf Mayrhofer & Charles Kemp - 2018 - Cognition 179 (C):266-297.
Active inductive inference in children and adults: A constructivist perspective.Neil R. Bramley & Fei Xu - 2023 - Cognition 238 (C):105471.
References found in this work
Causality: Models, Reasoning and Inference.Judea Pearl - 2000 - New York: Cambridge University Press.
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference.Judea Pearl - 1988 - Morgan Kaufmann.
An enquiry concerning human understanding.David Hume - 2000 - In Steven M. Cahn (ed.), Exploring Philosophy: An Introductory Anthology. New York, NY, United States of America: Oxford University Press USA. pp. 112.
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