- The imaginary fundamentalists: The unshocking truth about Bayesian cognitive science.Nick Chater, Noah Goodman, Thomas L. Griffiths, Charles Kemp, Mike Oaksford & Joshua B. Tenenbaum - 2011 - Behavioral and Brain Sciences 34 (4):194-196.details
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Probabilistic models of cognition: Conceptual foundations.Nick Chater & Alan Yuille - 2006 - Trends in Cognitive Sciences 10 (7):287-291.details
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Bayesian Fundamentalism or Enlightenment? On the explanatory status and theoretical contributions of Bayesian models of cognition.Matt Jones & Bradley C. Love - 2011 - Behavioral and Brain Sciences 34 (4):169-188.details
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Word learning as Bayesian inference.Fei Xu & Joshua B. Tenenbaum - 2007 - Psychological Review 114 (2):245-272.details
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Statistical inference and sensitivity to sampling in 11-month-old infants.Fei Xu & Stephanie Denison - 2009 - Cognition 112 (1):97-104.details
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Large number discrimination in 6-month-old infants.Fei Xu & Elizabeth S. Spelke - 2000 - Cognition 74 (1):1-11.details
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Generalization, similarity, and bayesian inference.Joshua B. Tenenbaum & Thomas L. Griffiths - 2001 - Behavioral and Brain Sciences 24 (4):629-640.details
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Rational approximations to rational models: Alternative algorithms for category learning.Adam N. Sanborn, Thomas L. Griffiths & Daniel J. Navarro - 2010 - Psychological Review 117 (4):1144-1167.details
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Dog is a dog is a dog: Infant rule learning is not specific to language.Jenny R. Saffran, Seth D. Pollak, Rebecca L. Seibel & Anna Shkolnik - 2007 - Cognition 105 (3):669-680.details
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How persuasive is a good fit? A comment on theory testing.Seth Roberts & Harold Pashler - 2000 - Psychological Review 107 (2):358-367.details
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When a good fit can be bad.M. A. Pitt & I. J. Myung - 2002 - Trends in Cognitive Sciences 6 (10):421-425.details
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A tutorial introduction to Bayesian models of cognitive development.Amy Perfors, Joshua B. Tenenbaum, Thomas L. Griffiths & Fei Xu - 2011 - Cognition 120 (3):302-321.details
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A rational analysis of the selection task as optimal data selection.Mike Oaksford & Nick Chater - 1994 - Psychological Review 101 (4):608-631.details
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Sampling Assumptions in Inductive Generalization.Daniel J. Navarro, Matthew J. Dry & Michael D. Lee - 2012 - Cognitive Science 36 (2):187-223.details
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A Logical Calculus of the Ideas Immanent in Nervous Activity.Warren S. Mcculloch & Walter Pitts - 1943 - Journal of Symbolic Logic 9 (2):49-50.details
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Zipfian frequency distributions facilitate word segmentation in context.Chigusa Kurumada, Stephan C. Meylan & Michael C. Frank - 2013 - Cognition 127 (3):439-453.details
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Dog is a dog is a dog: Infant rule learning is not specific to language.Anna Shkolnik Jenny R. Saffran, Seth D. Pollak, Rebecca L. Seibel - 2007 - Cognition 105 (3):669.details
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A Bayesian framework for word segmentation: Exploring the effects of context.Sharon Goldwater, Thomas L. Griffiths & Mark Johnson - 2009 - Cognition 112 (1):21-54.details
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Infants use rational decision criteria for choosing among models of their input.LouAnn Gerken - 2010 - Cognition 115 (2):362.details
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Decisions, decisions: infant language learning when multiple generalizations are possible.LouAnn Gerken - 2006 - Cognition 98 (3):B67-B74.details
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Sequential ideal-observer analysis of visual discriminations.Wilson S. Geisler - 1989 - Psychological Review 96 (2):267-314.details
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Three ideal observer models for rule learning in simple languages.Michael C. Frank & Joshua B. Tenenbaum - 2011 - Cognition 120 (3):360-371.details
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Modeling human performance in statistical word segmentation.Michael C. Frank, Sharon Goldwater, Thomas L. Griffiths & Joshua B. Tenenbaum - 2010 - Cognition 117 (2):107-125.details
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Perceptual constraints and the learnability of simple grammars.Ansgar D. Endress, Ghislaine Dehaene-Lambertz & Jacques Mehler - 2007 - Cognition 105 (3):577-614.details
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Bayesian learning and the psychology of rule induction.Ansgar D. Endress - 2013 - Cognition 127 (2):159-176.details
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