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Psychological Review|November 3, 2010
Rational approximations to rational models: alternative algorithms for category learningAdam N Sanborn, Thomas L Griffiths, Daniel J NavarroPsychological Review|March 6, 2013
Reconciling intuitive physics and Newtonian mechanics for colliding objectsAdam N Sanborn, Vikash K Mansinghka, Thomas L GriffithsCognitive Psychology|August 4, 2014
Win-Stay, Lose-Sample: a simple sequential algorithm for approximating Bayesian inferenceElizabeth Bonawitz, Stephanie Denison, Alison Gopnik, et al.Developmental Psychology|November 29, 2016
Sources of developmental change in the efficiency of information searchAzzurra Ruggeri, Tania Lombrozo, Thomas L Griffiths, et al.Cognition|July 12, 2025
People evaluate idle collaborators based on their impact on task efficiencyElizabeth Mieczkowski, Cameron Turner, Natalia Vélez, et al.Cognition|February 23, 2011
Children's imitation of causal action sequences is influenced by statistical and pedagogical evidenceDaphna Buchsbaum, Alison Gopnik, Thomas L Griffiths, et al.Trends in Cognitive Sciences|July 9, 2014
Probabilistic models, learning algorithms, and response variability: sampling in cognitive developmentElizabeth Bonawitz, Stephanie Denison, Thomas L Griffiths, et al.Cognition|December 4, 2012
Rational variability in children's causal inferences: the Sampling HypothesisStephanie Denison, Elizabeth Bonawitz, Alison Gopnik, et al.Developmental Psychology|August 29, 2007
Can being scared cause tummy aches? Naive theories, ambiguous evidence, and preschoolers' causal inferencesLaura E Schulz, Elizabeth Baraff Bonawitz, Thomas L GriffithsPlos Computational Biology|April 26, 2018
Rational metareasoning and the plasticity of cognitive controlFalk Lieder, Amitai Shenhav, Sebastian Musslick, et al.Pageof 21