Predicting the Future as Bayesian Inference: People Combine Prior Knowledge With Observations When Estimating Duration and Extent

by Griffiths, Thomas L., Tenenbaum, Joshua B.
Published 2012

The Challenges of Large‐Scale, Web‐Based Language Datasets: Word Length and Predictability Revisited

by Meylan, Stephan C., Griffiths, Thomas L.
Published 2022

Intuitive Theories as Grammars for Causal Inference

by Tenenbaum, Joshua B., Griffiths, Thomas L., Niyogi, Sourabh
Published 2021

One and Done? Optimal Decisions From Very Few Samples

by Vul, Edward, Goodman, Noah, Griffiths, Thomas L., Tenenbaum, Joshua B.
Published 2016

A tutorial introduction to Bayesian models of cognitive development

by Perfors, Amy, Tenenbaum, Joshua B., Griffiths, Thomas L., Xu, Fei
Published 2015

Bayes and Blickets: Effects of Knowledge on Causal Induction in Children and Adults

by Griffiths, Thomas L., Sobel, David M., Tenenbaum, Joshua B., Gopnik, Alison
Published 2015

Modeling human performance in statistical word segmentation

by Frank, Michael C., Goldwater, Sharon, Griffiths, Thomas L., Tenenbaum, Joshua B.
Published 2016

Compositionality in rational analysis: Grammar-based induction for concept learning

by Goodman, Noah D., Tenenbaum, Joshua B., Griffiths, Thomas L., Feldman, Jacob
Published 2020

Bayesian collective learning emerges from heuristic social learning

by Krafft, P.M, Shmueli, Erez, Griffiths, Thomas L., Tenenbaum, Joshua B., Pentland, Alex
Published 2021

Developmental and computational perspectives on infant social cognition

by Hamlin, Kiley, Wynn, Karen, Bloom, Paul, Lucas, Chris G., Griffiths, Thomas L., Xu, Fei, Fawcett, Christine, Tamar, Kushnir, Wellman, Henry, Gelman, Susan, Goodman, Noah Daniel, Baker, Christopher Lawrence, Ullman, Tomer David, Tenenbaum, Joshua B
Published 2017