Sequential Causal Learning in Humans and Rats
eScholarship (California Digital Library)Published 23 January 2008Open access
Hongjing Lu, Randall R. Rojas, Tom Beckers, Alan Yuille
Citations22
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A new Bayesian theory of sequential causal learning is proposed that assumes that humans and rats have available two alternative generative models for causal learning with continuous outcome variables and predicts how the form of the pretraining determines which model is selected.
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Keywords
PsychologyNeuroscience
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