Intuitive theories as grammars for causal inference (2007)

by Joshua B. Tenenbaum , Thomas L. Griffiths , Sourabh Niyogi
Venue:In A. Gopnik & L. Schulz (Eds.), Causal learning: Psychology, philosophy, and computation
Citations:13 - 7 self

Active Bibliography

33 Theory-based causal induction – Thomas L. Griffiths, Joshua B. Tenenbaum - 2003
23 Bayesian models of cognition – Thomas L. Griffiths, Charles Kemp, Joshua B. Tenenbaum
12 From mere coincidences to meaningful discoveries – Thomas L. Griffiths , Joshua B. Tenenbaum - 2006
6 Can Being Scared Cause Tummy Aches? Naive Theories, Ambiguous Evidence, and Preschoolers ’ Causal Inferences – Laura E. Schulz, Elizabeth Baraff Bonawitz, Thomas L. Griffiths
1 A tutorial introduction to Bayesian models of cognitive development – Amy Perfors, Joshua B. Tenenbaum, Thomas L. Griffiths, Fei Xu
78 Topics in semantic representation – Thomas L. Griffiths, Mark Steyvers, Joshua B. Tenenbaum - 2007
157 A theory of causal learning in children: Causal maps and Bayes nets – Alison Gopnik, Clark Glymour, David M. Sobel, Laura E. Schulz, Tamar Kushnir, David Danks - 2004
14 Two proposals for causal grammar – Thomas L. Griffiths, Joshua B. Tenenbaum - 2007
9 The Role of Causality in Judgment Under Uncertainty – Tevye R. Krynski, Joshua B. Tenenbaum
5 Technical Introduction: A Primer on Probabilistic Inference – Thomas L. Griffiths, Alan Yuille - 2006
Education Award and a McDonnell Foundation Collaborative Initiative Causal Learning – Laura E. Schulz, Elizabeth Baraff Bonawitz, Thomas L. Griffiths
1093 A solution to Plato’s problem: The latent semantic analysis theory of acquisition, induction, and representation of knowledge – Thomas K Landauer, Susan T. Dutnais - 1997
3 Words, kinds and causal powers: A theory theory perspective on early naming and categorization – Alison Gopnik, Thierry Nazzi - 2003
25 Language Evolution by Iterated Learning With Bayesian Agents – Thomas L. Griffiths , Michael L. Kalish - 2007
Beyond Covariation 1 Beyond covariation: Cues to causal structure – David A. Lagnado, Michael R. Waldmann, York Hagmayer, Steven A. Sloman, David A. Lagnado
22 Beyond covariation: Cues to causal structure – Michael R. Waldmann, York Hagmayer, Steven A. Sloman, David A. Lagnado, David A. Lagnado - 2006
89 Structure and Strength in Causal Induction – Thomas L. Griffiths, Joshua B. Tenenbaum
4 Learning the form of causal relationships using hierarchical Bayesian models – Christopher G. Lucas, Thomas L. Griffiths - 2010
Elemental Causal Induction – Thomas L. Griffiths, Joshua B. Tenenbaum