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The Behavioral and Brain Sciences|November 25, 2016
Building machines that learn and think like peopleBrenden M Lake, Tomer D Ullman, Joshua B Tenenbaum, et al.Cognition|June 22, 2024
When rules are over-ruled: Virtual bargaining as a contractualist method of moral judgmentSydney Levine, Max Kleiman-Weiner, Nick Chater, et al.Proceedings. Biological Sciences|March 15, 2021
Human biases limit cumulative innovationBill Thompson, Thomas L GriffithsCognition|March 31, 2009
The evolution of frequency distributions: relating regularization to inductive biases through iterated learningFlorencia Reali, Thomas L GriffithsProceedings. Biological Sciences|October 9, 2009
Words as alleles: connecting language evolution with Bayesian learners to models of genetic driftFlorencia Reali, Thomas L GriffithsThe Behavioral and Brain Sciences|March 12, 2020
Advancing rational analysis to the algorithmic levelFalk Lieder, Thomas L GriffithsPsychological Review|November 7, 2017
Strategy selection as rational metareasoningFalk Lieder, Thomas L GriffithsPlos One|June 17, 2016
Sampling Assumptions Affect Use of Indirect Negative Evidence in Language LearningAnne Hsu, Thomas L GriffithsProceedings of the National Academy of Sciences of the United States of America|September 7, 2014
Tracing the roots of syntax with Bayesian phylogeneticsLuke Maurits, Thomas L GriffithsThe Behavioral and Brain Sciences|February 5, 2019
Resource-rational analysis: Understanding human cognition as the optimal use of limited computational resourcesFalk Lieder, Thomas L GriffithsPageof 32