Dynamical Causal Learning

theories of human causal focus primarily on long-run predictions: learning and Current psychological two by judgment estimating parameters of a causal Bayes nets (though for different parameterizations), and a third through structural learning. This short-run behavior by examining paper dynamical versions of these three theories, and comparing their predictions to a real-world dataset. focuses on people's

Authors

• David Danks
• Thomas Griffiths
• Joshua Tenenbaum

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