Locally Bayesian Learning with Applications to Retrospective Revaluation and Highlighting (2006)

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by John K. Kruschke
Venue:Psychological Review
Citations:26 - 7 self

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1 Locally Bayesian Learning with Applications to Retrospective Revaluation and Highlighting – John K. Kruschke
1 Models of Categorization – John K. Kruschke - 2008
65 Toward a unified model of attention in associative learning – John K. Kruschke - 2001
2.2. Highlighting Discomfits Theories of Learning 156 – John K. Kruschke
37 Attention in learning – John K. Kruschke - 2003
21 Bayesian generic priors for causal learning – Hongjing Lu, Alan L. Yuille, Mimi Liljeholm, Patricia W. Cheng, Keith J. Holyoak - 2008
25 Language Evolution by Iterated Learning With Bayesian Agents – Thomas L. Griffiths , Michael L. Kalish - 2007
for assistance in data collection and analysis; Jim Morgan, Melanie – David M. Sobel, Natasha Z. Kirkham, Megan Blossom, Carl Dambowski, Marco Deleon, Amelia Hausauer, Debbie Kim, Ayla Nero, Judith Pond, Karen Rathbun
3 Competition between outcomes – Ralph R. Miller, Helena Matute - 1998
Elemental Causal Induction – Thomas L. Griffiths, Joshua B. Tenenbaum
89 Structure and Strength in Causal Induction – Thomas L. Griffiths, Joshua B. Tenenbaum
7 Language acquisition as rational contingency learning,’ Applied Linguistics 27/1 – Nick C. Ellis - 2006
2 Compositionality in rational analysis: Grammar-based induction for concept learning – Noah D. Goodman, Joshua B. Tenenbaum, Thomas L. Griffiths, Jacob Feldman - 2007
3 Attention and salience in associative blocking – Stephen E. Denton, John K. Kruschke - 2006
Exemplar models as a mechanism for performing . . . – Lei Shi, Thomas L. Griffiths, Naomi H. Feldman, Adam N. Sanborn - 2010
Exemplar models as a mechanism for . . . – Lei Shi, Thomas L. Griffiths, Naomi H. Feldman, Adam N. Sanborn
performing Bayesian inference – Lei Shi, Thomas L. Griffiths, Nao M I H. Feldman, Ada M N. Sanborn
1 A tutorial introduction to Bayesian models of cognitive development – Amy Perfors, Joshua B. Tenenbaum, Thomas L. Griffiths, Fei Xu
Learning from human action 1 Running head: LEARNING FROM HUMAN ACTION Learning from others: The consequences of psychological reasoning for human learning – Patrick Shafto, Noah D. Goodman, Michael C. Frank