| Building machines that learn and think like people BM Lake, TD Ullman, JB Tenenbaum, SJ Gershman Behavioral and brain sciences 40, e253, 2017 | 3307 | 2017 |
| A compositional object-based approach to learning physical dynamics MB Chang, T Ullman, A Torralba, JB Tenenbaum arXiv preprint arXiv:1612.00341, 2016 | 507 | 2016 |
| Learning a theory of causality. ND Goodman, TD Ullman, JB Tenenbaum Psychological review 118 (1), 110, 2011 | 287 | 2011 |
| Mind games: Game engines as an architecture for intuitive physics TD Ullman, E Spelke, P Battaglia, JB Tenenbaum Trends in cognitive sciences 21 (9), 649-665, 2017 | 280 | 2017 |
| Ten-month-old infants infer the value of goals from the costs of actions S Liu, TD Ullman, JB Tenenbaum, ES Spelke Science 358 (6366), 1038-1041, 2017 | 260 | 2017 |
| The mentalistic basis of core social cognition: Experiments in preverbal infants and a computational model J Kiley Hamlin, T Ullman, J Tenenbaum, N Goodman, C Baker Developmental science 16 (2), 209-226, 2013 | 249 | 2013 |
| Help or hinder: Bayesian models of social goal inference T Ullman, C Baker, O Macindoe, O Evans, N Goodman, J Tenenbaum Advances in neural information processing systems 22, 2009 | 230 | 2009 |
| Large language models fail on trivial alterations to theory-of-mind tasks T Ullman arXiv preprint arXiv:2302.08399, 2023 | 183 | 2023 |
| Theory learning as stochastic search in the language of thought TD Ullman, ND Goodman, JB Tenenbaum Cognitive Development 27 (4), 455-480, 2012 | 136 | 2012 |
| Bayesian models of conceptual development: Learning as building models of the world TD Ullman, JB Tenenbaum Annual Review of Developmental Psychology 2 (1), 533-558, 2020 | 110 | 2020 |
| Modeling expectation violation in intuitive physics with coarse probabilistic object representations K Smith, L Mei, S Yao, J Wu, E Spelke, J Tenenbaum, T Ullman Advances in neural information processing systems 32, 2019 | 96 | 2019 |
| Agent: A benchmark for core psychological reasoning T Shu, A Bhandwaldar, C Gan, K Smith, S Liu, D Gutfreund, E Spelke, ... International conference on machine learning, 9614-9625, 2021 | 85 | 2021 |
| Lucky or clever? From expectations to responsibility judgments T Gerstenberg, TD Ullman, J Nagel, M Kleiman-Weiner, DA Lagnado, ... Cognition 177, 122-141, 2018 | 78 | 2018 |
| Learning physical parameters from dynamic scenes TD Ullman, A Stuhlmüller, ND Goodman, JB Tenenbaum Cognitive psychology 104, 57-82, 2018 | 72 | 2018 |
| Testing relational understanding in text-guided image generation C Conwell, T Ullman arXiv preprint arXiv:2208.00005, 2022 | 67 | 2022 |
| Rethink reporting of evaluation results in AI R Burnell, W Schellaert, J Burden, TD Ullman, F Martinez-Plumed, ... Science 380 (6641), 136-138, 2023 | 59 | 2023 |
| Modal prospection J McCoy, L Paul, T Ullman Metaphysics and cognitive science, 235-67, 2019 | 45 | 2019 |
| Learning physical theories from dynamical scenes T Ullman, A Stuhlmuller, N Goodman, J Tenenbaum Proceedings of the Annual Meeting of the Cognitive Science Society 36 (36), 2014 | 43 | 2014 |
| Sticking to the evidence? A behavioral and computational case study of micro‐theory change in the domain of magnetism E Bonawitz, TD Ullman, S Bridgers, A Gopnik, JB Tenenbaum Cognitive science 43 (8), e12765, 2019 | 39 | 2019 |
| Coalescing the Vapors of Human Experience into a Viable and Meaningful Comprehension. TD Ullman, MH Siegel, J Tenenbaum, S Gershman CogSci, 2016 | 39 | 2016 |
Joshua B. TenenbaumMITEmail verificata su mit.edu