Structure Learning in Human Causal Induction (2000)

by Joshua B. Tenenbaum , Thomas L. Griffiths
Citations:45 - 13 self

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Structure Learning in Human Causal Induction – Joshua Tenenbaum Thomas, Thomas L. Griffiths - 2001
89 Structure and Strength in Causal Induction – Thomas L. Griffiths, Joshua B. Tenenbaum
unknown title – unknown authors
Elemental Causal Induction – Thomas L. Griffiths, Joshua B. Tenenbaum
Estimating human priors on causal strength – Saiwing Yeung, Thomas L. Griffiths (tom
11 Knowledge mediates the timeframe of covariation assessment in human causal induction – Marc J Buehner, Jon May
Address correspondence to: – David Danks, Craig R. M. Mckenzie, David Danks
33 Theory-based causal induction – Thomas L. Griffiths, Joshua B. Tenenbaum - 2003
20 Representing causation – Phillip Wolff - 2007
Causal Inference when Observed and Unobserved Causes Interact – Benjamin M. Rottman
Is everyday causation deterministic or probabilistic? – unknown authors
2 Bayes and blickets: Effects of knowledge on causal induction in children and adults – Thomas L. Griffiths, David M. Sobel, Joshua B. Tenenbaum, Alison Gopnik
21 Bayesian generic priors for causal learning – Hongjing Lu, Alan L. Yuille, Mimi Liljeholm, Patricia W. Cheng, Keith J. Holyoak - 2008
5 Abolishing the Effect of Reinforcement Delay on Human Causal Learning – Marc J. Buehner, Jon May - 2004
Developmental differences in learning the forms of causal relationships – Chris Lucas, Alison Gopnik, Thomas L. Griffiths (tom
Blocking Requires Uncertainty about Novel Cues – Pei-pei Liu, Christian C. Luhmann
4 Learning the form of causal relationships using hierarchical Bayesian models – Christopher G. Lucas, Thomas L. Griffiths - 2010
1 The Supposed Competition between Theories of Human Causal Inference – David Danks, David Danks
1 Probabilistic Measures of Causal Strength † – Branden Fitelson, Christopher Hitchcock