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Cognition|October 28, 2008
Inductive reasoning about causally transmitted propertiesPatrick Shafto, Charles Kemp, Elizabeth Baraff Bonawitz, et al.Nature Communications|August 30, 2022
Synthesizing theories of human language with Bayesian program inductionKevin Ellis, Adam Albright, Armando Solar-Lezama, et al.Neural Computation|June 7, 2008
Latent features in similarity judgments: a nonparametric bayesian approachDaniel J Navarro, Thomas L GriffithsJournal 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|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 KalishNature Communications|May 20, 2025
Modeling rapid language learning by distilling Bayesian priors into artificial neural networksR Thomas McCoy, Thomas L GriffithsCognitive Science|June 25, 2021
The Challenges of Large-Scale, Web-Based Language Datasets: Word Length and Predictability RevisitedStephan C Meylan, Thomas L GriffithsCognitive Science|May 14, 2011
Learning the form of causal relationships using hierarchical bayesian modelsChristopher G Lucas, Thomas L GriffithsThe Behavioral and Brain Sciences|September 23, 2024
Meta-learning as a bridge between neural networks and symbolic Bayesian modelsR Thomas McCoy, Thomas L GriffithsPageof 32