Noah D. Goodman
Affiliations: | Psychology | Stanford University, Palo Alto, CA |
Website:
https://cocolab.stanford.edu/ndg.htmlGoogle:
"Noah Goodman"Mean distance: 15.24 (cluster 23) | S | N | B | C | P |
Children
Sign in to add trainee| Erin D. Bennett | grad student | Stanford | |
| Daniel J. Hawthorne | grad student | Stanford | |
| Desmond C. Ong | grad student | Stanford | |
| Long Ouyang | grad student | Stanford | |
| Michael Henry Tessler | grad student | Stanford | |
| Robert D. Hawkins | grad student | 2014-2019 | Stanford |
| Judith Degen | post-doc | Stanford | |
| Joseph L. Austerweil | post-doc | 2013-2013 | Stanford |
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Publications
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| Ong DC, Zhi-Xuan T, Tenenbaum JB, et al. (2024) Probabilistic programming versus meta-learning as models of cognition. The Behavioral and Brain Sciences. 47: e158 |
| Boyce V, Hawkins RD, Goodman ND, et al. (2024) Interaction structure constrains the emergence of conventions in group communication. Proceedings of the National Academy of Sciences of the United States of America. 121: e2403888121 |
| Arumugam D, Ho MK, Goodman ND, et al. (2024) Bayesian Reinforcement Learning With Limited Cognitive Load. Open Mind : Discoveries in Cognitive Science. 8: 395-438 |
| Hawkins RD, Berdahl AM, Pentland A', et al. (2023) Flexible social inference facilitates targeted social learning when rewards are not observable. Nature Human Behaviour |
| Hawkins RD, Franke M, Frank MC, et al. (2022) From partners to populations: A hierarchical Bayesian account of coordination and convention. Psychological Review |
| Tessler MH, Goodman ND. (2022) Warm (for Winter): Inferring Comparison Classes in Communication. Cognitive Science. 46: e13095 |
| Tessler MH, Tenenbaum JB, Goodman ND. (2022) Logic, Probability, and Pragmatics in Syllogistic Reasoning. Topics in Cognitive Science |
| Gerstenberg T, Goodman ND, Lagnado DA, et al. (2021) A counterfactual simulation model of causal judgments for physical events. Psychological Review |
| Ong DC, Soh H, Zaki J, et al. (2021) Applying Probabilistic Programming to Affective Computing. Ieee Transactions On Affective Computing. 12: 306-317 |
| Dasgupta I, Guo D, Gershman SJ, et al. (2020) Analyzing Machine-Learned Representations: A Natural Language Case Study. Cognitive Science. 44: e12925 |