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Cognitive Science|October 7, 2011
Testing the efficiency of Markov chain Monte Carlo with People using facial affect categoriesJay B Martin, Thomas L Griffiths, Adam N SanbornCognitive Science|August 27, 2014
Inferring learners' knowledge from their actionsAnna N Rafferty, Michelle M LaMar, Thomas L GriffithsCognitive Science|September 5, 2018
Evaluating (and Improving) the Correspondence Between Deep Neural Networks and Human RepresentationsJoshua C Peterson, Joshua T Abbott, Thomas L GriffithsPsychological Review|February 3, 2015
Random walks on semantic networks can resemble optimal foragingJoshua T Abbott, Joseph L Austerweil, Thomas L GriffithsCognitive Science|August 14, 2025
Teaching Recombinable Motifs Through Simple ExamplesHuang Ham, Bonan Zhao, Thomas L Griffiths, et al.Cognition|April 22, 2026
Aha! moments correspond to metacognitive prediction errorsRachit Dubey, Mark Ho, Hermish Mehta, et al.Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences|September 19, 2008
Introduction. Cultural transmission and the evolution of human behaviourKenny Smith, Michael L Kalish, Thomas L Griffiths, et al.Psychological Review|September 21, 2023
Optimal metacognitive control of memory recallFrederick Callaway, Thomas L Griffiths, Kenneth A Norman, et al.The Behavioral and Brain Sciences|November 3, 2025
Complex brains allow functioning in a complex environment by using informationCameron Rouse Turner, Thomas J H Morgan, Thomas L GriffithsProceedings of the National Academy of Sciences of the United States of America|March 13, 2023
Superhuman artificial intelligence can improve human decision-making by increasing noveltyMinkyu Shin, Jin Kim, Bas van Opheusden, et al.Pageof 21