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Journal of Experimental Psychology. Learning, Memory, and Cognition|April 24, 2013
Why are people bad at detecting randomness? A statistical argumentJoseph J Williams, Thomas L Griffiths
Psychological Review|October 21, 2009
Theory-based causal inductionThomas L Griffiths, Joshua B Tenenbaum
Cognitive Science|June 4, 2011
Language evolution by iterated learning with bayesian agentsThomas L Griffiths, Michael L Kalish
Nature Communications|May 20, 2025
Modeling rapid language learning by distilling Bayesian priors into artificial neural networksR Thomas McCoy, Thomas L Griffiths
Cognitive Science|May 14, 2011
Learning the form of causal relationships using hierarchical bayesian modelsChristopher G Lucas, Thomas L Griffiths
The Behavioral and Brain Sciences|September 23, 2024
Meta-learning as a bridge between neural networks and symbolic Bayesian modelsR Thomas McCoy, Thomas L Griffiths
Psychological Review|November 14, 2013
A nonparametric Bayesian framework for constructing flexible feature representationsJoseph L Austerweil, Thomas L Griffiths
Cognition|May 9, 2006
From mere coincidences to meaningful discoveriesThomas L Griffiths, Joshua B Tenenbaum
Memory & Cognition|April 18, 2002
A multidimensional scaling approach to mental multiplicationThomas L Griffiths, Michael L Kalish
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