Finding the Cause: Examining the Role of Qualitative Causal Inference through Categorical Judgments

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by Michael Pacer

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95 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
23 Theory-based causal induction – Thomas L. Griffiths, Joshua B. Tenenbaum - 2003
A tutorial introduction to Bayesian models of cognitive development – Amy Perfors, Joshua B. Tenenbaum, Thomas L. Griffiths, Fei Xu
Reasoning with Conjunctive Causes – Bob Rehder
Inferring Causal Networks – Mark Steyvers , Joshua B. Tenenbaum , Eric-Jan Wagenmakers , Ben Blum - 2003
8 Beyond covariation: Cues to causal structure – Michael R. Waldmann, York Hagmayer, Steven A. Sloman, David A. Lagnado, David A. Lagnado - 2006
4 Learning the form of causal relationships using hierarchical Bayesian models – Christopher G. Lucas, Thomas L. Griffiths - 2010
3 doi:10.3758/MC.37.6.715 Classification as diagnostic reasoning – Bob Rehder, Shinwoo Kim
56 Structure and Strength in Causal Induction – Thomas L. Griffiths, Joshua B. Tenenbaum
A brand new ball game: Bayes net and neural net learning mechanisms in young children – Alison Gopnik, et al.
Send all correspondence to: – Brett Hayes, Bob Rehder, Brett K. Hayes
3 Learning a Theory of Causality – Noah D. Goodman, Tomer D. Ullman, Joshua B. Tenenbaum
6 The Role of Mechanism Beliefs in Causal Reasoning – Woo-kyoung Ahn, Charles W. Kalish - 2000
2 Causal Reasoning through Intervention – York Hagmayer, Steven A. Sloman, David A. Lagnado, Michael R. Waldmann
A Generative Model of Causal Cycles – Bob Rehder, Jay B. Martin
Estimating human priors on causal strength – Saiwing Yeung, Thomas L. Griffiths (tom
A rational model of causal induction with – Michael D. Pacer, Thomas L. Griffiths
For correspondence: – Explanation In C. Hoerl, T. Mccormack, S. Beck (eds, David R. Mandel, Dr. David, R. Mandel, Intelligence Group
2 Causal-based property generalization – Bob Rehder - 2009