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Trends in Cognitive Sciences|June 26, 2010
Probabilistic models of cognition: exploring representations and inductive biasesThomas L Griffiths, Nick Chater, Charles Kemp, et al.Psychonomic Bulletin & Review|May 10, 2017
The anchoring bias reflects rational use of cognitive resourcesFalk Lieder, Thomas L Griffiths, Quentin J M Huys, et al.Psychonomic Bulletin & Review|March 4, 2015
A rational model of function learningChristopher G Lucas, Thomas L Griffiths, Joseph J Williams, et al.Scientific Reports|September 13, 2024
Large language models predict human sensory judgments across six modalitiesRaja Marjieh, Ilia Sucholutsky, Pol van Rijn, et al.Psychological Review|August 17, 2023
Reconciling truthfulness and relevance as epistemic and decision-theoretic utilityTheodore R Sumers, Mark K Ho, Thomas L Griffiths, et al.Cognitive Science|August 29, 2023
The Computational Challenges of Means Selection Problems: Network Structure of Goal Systems Predicts Human PerformanceDaniel Reichman, Falk Lieder, David D Bourgin, et al.Nature Human Behaviour|October 16, 2023
Resampling reduces bias amplification in experimental social networksMathew D Hardy, Bill D Thompson, P M Krafft, et al.Psychonomic Bulletin & Review|May 10, 2017
Empirical evidence for resource-rational anchoring and adjustmentFalk Lieder, Thomas L Griffiths, Quentin J M Huys, et al.Cognition|April 13, 2023
Iterated learning reveals stereotypes of facial trustworthiness that propagate in the absence of evidenceStefan Uddenberg, Bill D Thompson, Madalina Vlasceanu, et al.Journal of Experimental Psychology. General|March 24, 2025
Can children and adults balance majority size with information quality in learning from preferences?Rebekah A Gelpí, Amy Whalen, Thomas L Griffiths, et al.Pageof 25