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Current Opinion in Behavioral Sciences|November 13, 2020
Balancing exploration and exploitation with information and randomizationRobert C Wilson, Elizabeth Bonawitz, Vincent D Costa, et al.NPJ Science of Learning|September 29, 2025
Do it yourself: discerning the effects of self-directed activity on conceptual learningGarvin Brod, Elfriede Holstein, Leonie Weindorf, et al.Journal of Experimental Psychology. General|August 31, 2011
Predicting the future as Bayesian inference: people combine prior knowledge with observations when estimating duration and extentThomas L Griffiths, Joshua B TenenbaumNeural Computation|June 7, 2008
Latent features in similarity judgments: a nonparametric bayesian approachDaniel J Navarro, Thomas L GriffithsCognitive Psychology|September 20, 2005
Structure and strength in causal inductionThomas L Griffiths, Joshua B TenenbaumPsychological Science|September 21, 2006
Optimal predictions in everyday cognitionThomas L Griffiths, Joshua B TenenbaumJournal of Experimental Psychology. Learning, Memory, and Cognition|April 24, 2013
Why are people bad at detecting randomness? A statistical argumentJoseph J Williams, Thomas L GriffithsPsychological Review|October 21, 2009
Theory-based causal inductionThomas L Griffiths, Joshua B TenenbaumPsychological Review|June 5, 2025
Computation-limited Bayesian updating: A resource-rational analysis of approximate Bayesian inferenceJian-Qiao Zhu, Thomas L GriffithsCognitive Science|June 4, 2011
Language evolution by iterated learning with bayesian agentsThomas L Griffiths, Michael L KalishPageof 25