| Changes in cognitive flexibility and hypothesis search across human life history from childhood to adolescence to adulthood A Gopnik, S O’Grady, CG Lucas, TL Griffiths, A Wente, S Bridgers, ... Proceedings of the National Academy of Sciences 114 (30), 7892-7899, 2017 | 419 | 2017 |
| When children are better (or at least more open-minded) learners than adults: Developmental differences in learning the forms of causal relationships CG Lucas, S Bridgers, TL Griffiths, A Gopnik Cognition 131 (2), 0 | 322* | |
| When younger learners can be better (or at least more open-minded) than older ones A Gopnik, TL Griffiths, CG Lucas Current Directions in Psychological Science 24 (2), 87-92, 2015 | 246 | 2015 |
| A rational model of function learning CG Lucas, TL Griffiths, JJ Williams, ML Kalish Psychonomic bulletin & review 22 (5), 1193-1215, 2015 | 137 | 2015 |
| Learning the form of causal relationships using hierarchical Bayesian models CG Lucas, TL Griffiths Cognitive Science 34 (1), 113-147, 2010 | 126 | 2010 |
| The child as econometrician: A rational model of preference C Lucas, T Griffiths, F Xu, C Fawcett, A Gopnik, T Kushnir, L Markson, ... PLOS ONE, 2014 | 118 | 2014 |
| People learn other people’s preferences through inverse decision-making A Jern, CG Lucas, C Kemp Cognition 168, 46-64, 2017 | 97 | 2017 |
| Modeling human function learning with Gaussian processes TL Griffiths, CG Lucas, ML Kalish, J Williams NIPS, 2008 | 88 | 2008 |
| The human kernel AG Wilson, C Dann, C Lucas, EP Xing Advances in neural information processing systems 28, 2015 | 84 | 2015 |
| An improved probabilistic account of counterfactual reasoning. CG Lucas, C Kemp Psychological review 122 (4), 700, 2015 | 77 | 2015 |
| A rational model of preference learning and choice prediction by children C Lucas, T Griffiths, F Xu, C Fawcett Advances in neural information processing systems 21, 2008 | 56 | 2008 |
| Inferring hidden causal structure T Kushnir, A Gopnik, C Lucas, L Schulz Cognitive science 34 (1), 148-160, 2010 | 55 | 2010 |
| Can transformer be too compositional? analysing idiom processing in neural machine translation V Dankers, CG Lucas, I Titov arXiv preprint arXiv:2205.15301, 2022 | 47 | 2022 |
| Non‐Bayesian inference: Causal structure trumps correlation B Bes, S Sloman, CG Lucas, É Raufaste Cognitive Science 36 (7), 1178-1203, 2012 | 45 | 2012 |
| What's new? A comprehension bias in favor of informativity H Rohde, R Futrell, CG Lucas Cognition 209, 104491, 2021 | 34 | 2021 |
| Evaluating the inverse decision-making approach to preference learning A Jern, C Lucas, C Kemp Advances in neural information processing systems 24, 2011 | 33 | 2011 |
| Developmental differences in learning the forms of causal relationships C Lucas, A Gopnik, T Griffiths Proceedings of the Annual Meeting of the Cognitive Science Society 32 (32), 2010 | 33 | 2010 |
| Counterfactuals and the logic of causal selection. T Quillien, CG Lucas Psychological Review, 2023 | 28 | 2023 |
| Causal learning across culture and socioeconomic status AO Wente, K Kimura, CM Walker, N Banerjee, M Fernández Flecha, ... Child development 90 (3), 859-875, 2019 | 27 | 2019 |
| Political deepfakes are as credible as other fake media and (sometimes) real media S Barari, K Munger, C Lucas | 26 | 2021 |
Thomas L. GriffithsProfessor of Psychology and Computer Science, Princeton UniversityVerified email at princeton.edu
