| Year |
Citation |
Score |
| 2020 |
Dasgupta I, Guo D, Gershman SJ, Goodman ND. Analyzing Machine-Learned Representations: A Natural Language Case Study. Cognitive Science. 44: e12925. PMID 33340161 DOI: 10.1111/cogs.12925 |
0.4 |
|
| 2020 |
Yoon EJ, Tessler MH, Goodman ND, Frank MC. Polite Speech Emerges From Competing Social Goals. Open Mind : Discoveries in Cognitive Science. 4: 71-87. PMID 33225196 DOI: 10.1162/opmi_a_00035 |
1 |
|
| 2020 |
Hawkins RD, Frank MC, Goodman ND. Characterizing the Dynamics of Learning in Repeated Reference Games. Cognitive Science. 44: e12845. PMID 32496603 DOI: 10.1111/cogs.12845 |
1 |
|
| 2020 |
Degen J, Hawkins RD, Graf C, Kreiss E, Goodman ND. When redundancy is useful: A Bayesian approach to "overinformative" referring expressions. Psychological Review. PMID 32237876 DOI: 10.1037/rev0000186 |
0.48 |
|
| 2020 |
Peloquin BN, Goodman ND, Frank MC. The Interactions of Rational, Pragmatic Agents Lead to Efficient Language Structure and Use. Topics in Cognitive Science. 12: 433-445. PMID 32023005 DOI: 10.1111/tops.12489 |
1 |
|
| 2019 |
Tessler MH, Goodman ND. The language of generalization. Psychological Review. PMID 30762385 DOI: 10.1037/rev0000142 |
1 |
|
| 2018 |
Hawkins RXD, Goodman ND, Goldstone RL. The Emergence of Social Norms and Conventions. Trends in Cognitive Sciences. PMID 30522867 DOI: 10.1016/j.tics.2018.11.003 |
0.8 |
|
| 2018 |
Ong DC, Zaki J, Goodman ND. Computational Models of Emotion Inference in Theory of Mind: A Review and Roadmap. Topics in Cognitive Science. PMID 30066475 DOI: 10.1111/tops.12371 |
0.68 |
|
| 2018 |
Bennett ED, Goodman ND. Extremely costly intensifiers are stronger than quite costly ones. Cognition. 178: 147-161. PMID 29857283 DOI: 10.1016/j.cognition.2018.05.011 |
1 |
|
| 2018 |
Dasgupta I, Schulz E, Goodman ND, Gershman SJ. Remembrance of inferences past: Amortization in human hypothesis generation. Cognition. 178: 67-81. PMID 29793110 DOI: 10.1016/j.cognition.2018.04.017 |
0.4 |
|
| 2018 |
Ullman TD, Stuhlmüller A, Goodman ND, Tenenbaum JB. Learning physical parameters from dynamic scenes. Cognitive Psychology. 104: 57-82. PMID 29653395 DOI: 10.1016/j.cogpsych.2017.05.006 |
1 |
|
| 2017 |
Tessler MH, Goodman ND, Frank MC. Avoiding frostbite: It helps to learn from others. The Behavioral and Brain Sciences. 40: e279. PMID 29342698 DOI: 10.1017/S0140525X17000280 |
1 |
|
| 2017 |
Ballard I, Miller EM, Piantadosi ST, Goodman ND, McClure SM. Beyond Reward Prediction Errors: Human Striatum Updates Rule Values During Learning. Cerebral Cortex (New York, N.Y. : 1991). 1-11. PMID 29040494 DOI: 10.1093/cercor/bhx259 |
1 |
|
| 2017 |
Gerstenberg T, Peterson MF, Goodman ND, Lagnado DA, Tenenbaum JB. Eye-Tracking Causality. Psychological Science. 956797617713053. PMID 29039251 DOI: 10.1177/0956797617713053 |
1 |
|
| 2017 |
Lieder F, Griffiths TL, M Huys QJ, Goodman ND. The anchoring bias reflects rational use of cognitive resources. Psychonomic Bulletin & Review. PMID 28484952 DOI: 10.3758/s13423-017-1286-8 |
1 |
|
| 2017 |
Lieder F, Griffiths TL, M Huys QJ, Goodman ND. Empirical evidence for resource-rational anchoring and adjustment. Psychonomic Bulletin & Review. PMID 28484951 DOI: 10.3758/s13423-017-1288-6 |
1 |
|
| 2017 |
Ong DC, Goodman ND, Zaki J. Happier Than Thou? A Self-Enhancement Bias in Emotion Attribution. Emotion (Washington, D.C.). PMID 28406680 DOI: 10.1037/emo0000309 |
0.68 |
|
| 2016 |
Goodman ND, Frank MC. Pragmatic Language Interpretation as Probabilistic Inference. Trends in Cognitive Sciences. PMID 27692852 DOI: 10.1016/j.tics.2016.08.005 |
1 |
|
| 2016 |
Piantadosi ST, Tenenbaum JB, Goodman ND. The Logical Primitives of Thought: Empirical Foundations for Compositional Cognitive Models. Psychological Review. PMID 27077241 DOI: 10.1037/a0039980 |
1 |
|
| 2015 |
Kao JT, Levy R, Goodman ND. A Computational Model of Linguistic Humor in Puns. Cognitive Science. PMID 26235596 DOI: 10.1111/cogs.12269 |
0.32 |
|
| 2015 |
Ong DC, Zaki J, Goodman ND. Affective cognition: Exploring lay theories of emotion. Cognition. 143: 141-62. PMID 26160501 DOI: 10.1016/j.cognition.2015.06.010 |
0.68 |
|
| 2015 |
Bergen L, Goodman ND. The strategic use of noise in pragmatic reasoning. Topics in Cognitive Science. 7: 336-50. PMID 25898999 DOI: 10.1111/tops.12144 |
1 |
|
| 2015 |
Griffiths TL, Lieder F, Goodman ND. Rational use of cognitive resources: levels of analysis between the computational and the algorithmic. Topics in Cognitive Science. 7: 217-29. PMID 25898807 DOI: 10.1111/tops.12142 |
1 |
|
| 2015 |
Goodman ND, Frank MC, Griffiths TL, Tenenbaum JB, Battaglia PW, Hamrick JB. Relevant and robust: a response to Marcus and Davis (2013). Psychological Science. 26: 539-41. PMID 25749699 DOI: 10.1177/0956797614559544 |
1 |
|
| 2015 |
Lassiter D, Goodman ND. How many kinds of reasoning? Inference, probability, and natural language semantics. Cognition. 136: 123-34. PMID 25497521 DOI: 10.1016/j.cognition.2014.10.016 |
1 |
|
| 2015 |
Ritchie D, Mildenhall B, Goodman ND, Hanrahan P. Controlling procedural modeling programs with stochastically-ordered sequential Monte Carlo Acm Transactions On Graphics. 34. DOI: 10.1145/2766895 |
1 |
|
| 2015 |
Stiller AJ, Goodman ND, Frank MC. Ad-hoc Implicature in Preschool Children Language Learning and Development. 11: 176-190. DOI: 10.1080/15475441.2014.927328 |
1 |
|
| 2015 |
Ong DC, Zaki J, Goodman ND. Affective cognition: Exploring lay theories of emotion Cognition. 143: 141-162. DOI: 10.1016/j.cognition.2015.06.010 |
1 |
|
| 2015 |
Lassiter D, Goodman ND. Adjectival vagueness in a Bayesian model of interpretation Synthese. DOI: 10.1007/s11229-015-0786-1 |
1 |
|
| 2014 |
Frank MC, Goodman ND. Inferring word meanings by assuming that speakers are informative. Cognitive Psychology. 75: 80-96. PMID 25238461 DOI: 10.1016/j.cogpsych.2014.08.002 |
1 |
|
| 2014 |
Kao JT, Wu JY, Bergen L, Goodman ND. Nonliteral understanding of number words. Proceedings of the National Academy of Sciences of the United States of America. 111: 12002-7. PMID 25092304 DOI: 10.1073/pnas.1407479111 |
1 |
|
| 2014 |
Shafto P, Goodman ND, Griffiths TL. A rational account of pedagogical reasoning: teaching by, and learning from, examples. Cognitive Psychology. 71: 55-89. PMID 24607849 DOI: 10.1016/j.cogpsych.2013.12.004 |
1 |
|
| 2014 |
Vul E, Goodman N, Griffiths TL, Tenenbaum JB. One and done? Optimal decisions from very few samples. Cognitive Science. 38: 599-637. PMID 24467492 DOI: 10.1111/cogs.12101 |
1 |
|
| 2014 |
Stuhlmüller A, Goodman ND. Reasoning about reasoning by nested conditioning: Modeling theory of mind with probabilistic programs Cognitive Systems Research. 28: 80-99. DOI: 10.1016/j.cogsys.2013.07.003 |
1 |
|
| 2013 |
Kiley Hamlin J, Ullman T, Tenenbaum J, Goodman N, Baker C. The mentalistic basis of core social cognition: experiments in preverbal infants and a computational model. Developmental Science. 16: 209-26. PMID 23432831 DOI: 10.1111/desc.12017 |
1 |
|
| 2013 |
Goodman ND, Stuhlmüller A. Knowledge and implicature: modeling language understanding as social cognition. Topics in Cognitive Science. 5: 173-84. PMID 23335578 DOI: 10.1111/tops.12007 |
1 |
|
| 2013 |
Seiver E, Gopnik A, Goodman ND. Did she jump because she was the big sister or because the trampoline was safe? Causal inference and the development of social attribution. Child Development. 84: 443-54. PMID 23002946 DOI: 10.1111/j.1467-8624.2012.01865.x |
1 |
|
| 2013 |
Goodman ND. The principles and practice of probabilistic programming Conference Record of the Annual Acm Symposium On Principles of Programming Languages. 399-401. DOI: 10.1145/2429069.2429117 |
1 |
|
| 2013 |
Smith NJ, Goodman ND, Frank MC. Learning and using language via recursive pragmatic reasoning about other agents Advances in Neural Information Processing Systems. |
1 |
|
| 2013 |
Stuhlmüller A, Taylor J, Goodman ND. Learning stochastic inverses Advances in Neural Information Processing Systems. |
1 |
|
| 2012 |
Shafto P, Goodman ND, Frank MC. Learning From Others: The Consequences of Psychological Reasoning for Human Learning. Perspectives On Psychological Science : a Journal of the Association For Psychological Science. 7: 341-51. PMID 26168471 DOI: 10.1177/1745691612448481 |
1 |
|
| 2012 |
Frank MC, Goodman ND. Predicting pragmatic reasoning in language games. Science (New York, N.Y.). 336: 998. PMID 22628647 DOI: 10.1126/science.1218633 |
1 |
|
| 2012 |
Piantadosi ST, Tenenbaum JB, Goodman ND. Bootstrapping in a language of thought: a formal model of numerical concept learning. Cognition. 123: 199-217. PMID 22284806 DOI: 10.1016/j.cognition.2011.11.005 |
1 |
|
| 2012 |
Scontras G, Graff P, Goodman ND. Comparing pluralities. Cognition. 123: 190-7. PMID 22245032 DOI: 10.1016/j.cognition.2011.12.012 |
1 |
|
| 2012 |
Shafto P, Goodman ND, Frank MC. Learning From Others: The Consequences of Psychological Reasoning for Human Learning Perspectives On Psychological Science. 7: 341-351. DOI: 10.1177/1745691612448481 |
1 |
|
| 2012 |
Yeh YT, Yang L, Watson M, Goodman ND, Hanrahan P. Synthesizing open worlds with constraints using locally annealed reversible jump MCMC Acm Transactions On Graphics. 31. DOI: 10.1145/2185520.2185552 |
1 |
|
| 2012 |
Goodman ND, Tenenbaum JB, Griffiths TL, Feldman J. Compositionality in rational analysis: Grammar-based induction for concept learning The Probabilistic Mind: Prospects For Bayesian Cognitive Science. DOI: 10.1093/acprof:oso/9780199216093.003.0017 |
1 |
|
| 2012 |
Ullman TD, Goodman ND, Tenenbaum JB. Theory learning as stochastic search in the language of thought Cognitive Development. 27: 455-480. DOI: 10.1016/j.cogdev.2012.07.005 |
1 |
|
| 2012 |
Lieder F, Griffiths TL, Goodman ND. Burn-in, bias, and the rationality of anchoring Advances in Neural Information Processing Systems. 4: 2690-2698. |
1 |
|
| 2012 |
Talton JO, Yang L, Kumar R, Lim M, Goodman ND, Měch R. Learning design patterns with Bayesian grammar induction Uist'12 - Proceedings of the 25th Annual Acm Symposium On User Interface Software and Technology. 63-73. |
1 |
|
| 2011 |
Cook C, Goodman ND, Schulz LE. Where science starts: spontaneous experiments in preschoolers' exploratory play. Cognition. 120: 341-9. PMID 21561605 DOI: 10.1016/j.cognition.2011.03.003 |
1 |
|
| 2011 |
Tenenbaum JB, Kemp C, Griffiths TL, Goodman ND. How to grow a mind: statistics, structure, and abstraction. Science (New York, N.Y.). 331: 1279-85. PMID 21393536 DOI: 10.1126/science.1192788 |
1 |
|
| 2011 |
Goodman ND, Ullman TD, Tenenbaum JB. Learning a theory of causality. Psychological Review. 118: 110-9. PMID 21244189 DOI: 10.1037/a0021336 |
1 |
|
| 2011 |
Bonawitz E, Shafto P, Gweon H, Goodman ND, Spelke E, Schulz L. The double-edged sword of pedagogy: Instruction limits spontaneous exploration and discovery. Cognition. 120: 322-30. PMID 21216395 DOI: 10.1016/j.cognition.2010.10.001 |
1 |
|
| 2011 |
Wingate D, Goodman ND, Roy DM, Kaelbling LP, Tenenbaum JB. Bayesian policy search with policy priors Ijcai International Joint Conference On Artificial Intelligence. 1565-1570. DOI: 10.5591/978-1-57735-516-8/IJCAI11-263 |
1 |
|
| 2011 |
Chater N, Goodman N, Griffiths TL, Kemp C, Oaksford M, Tenenbaum JB. The imaginary fundamentalists: The unshocking truth about Bayesian cognitive science Behavioral and Brain Sciences. 34: 194-196. DOI: 10.1017/S0140525X11000239 |
1 |
|
| 2011 |
Wingate D, Goodman ND, Stuhlmüller A, Siskind JM. Nonstandard interpretations of probabilistic programs for efficient inference Advances in Neural Information Processing Systems 24: 25th Annual Conference On Neural Information Processing Systems 2011, Nips 2011. |
1 |
|
| 2011 |
Wingate D, Stuhlmüller A, Goodman ND. Lightweight implementations of probabilistic programming languages via transformational compilation Journal of Machine Learning Research. 15: 770-778. |
1 |
|
| 2010 |
Kemp C, Goodman ND, Tenenbaum JB. Learning to learn causal models. Cognitive Science. 34: 1185-243. PMID 21564248 DOI: 10.1111/j.1551-6709.2010.01128.x |
1 |
|
| 2010 |
Desrochers TM, Jin DZ, Goodman ND, Graybiel AM. Optimal habits can develop spontaneously through sensitivity to local cost. Proceedings of the National Academy of Sciences of the United States of America. 107: 20512-7. PMID 20974967 DOI: 10.1073/pnas.1013470107 |
1 |
|
| 2010 |
Henderson L, Goodman ND, Tenenbaum JB, Woodward JF. The structure and dynamics of scientific theories: A hierarchical bayesian perspective Philosophy of Science. 77: 172-200. |
1 |
|
| 2009 |
Frank MC, Goodman ND, Tenenbaum JB. Using speakers' referential intentions to model early cross-situational word learning. Psychological Science. 20: 578-85. PMID 19389131 DOI: 10.1111/j.1467-9280.2009.02335.x |
1 |
|
| 2009 |
Frank MC, Goodman ND, Tenenbaum JB. A Bayesian framework for cross-situational word-learning Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference. |
1 |
|
| 2009 |
Kemp C, Goodman ND, Tenenbaum JB. Learning and using relational theories Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference. |
1 |
|
| 2009 |
Ullman TD, Baker CL, Macindoe O, Evans O, Goodman ND, Tenenbaum JB. Help or hinder: Bayesian models of social goal inference Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 1874-1882. |
1 |
|
| 2009 |
Wingate D, Goodman ND, Roy DM, Tenenbaum JB. The Infinite Latent Events Model Proceedings of the 25th Conference On Uncertainty in Artificial Intelligence, Uai 2009. 607-614. |
1 |
|
| 2008 |
Goodman ND, Tenenbaum JB, Feldman J, Griffiths TL. A rational analysis of rule-based concept learning. Cognitive Science. 32: 108-54. PMID 21635333 DOI: 10.1080/03640210701802071 |
1 |
|
| 2008 |
Schulz LE, Goodman ND, Tenenbaum JB, Jenkins AC. Going beyond the evidence: abstract laws and preschoolers' responses to anomalous data. Cognition. 109: 211-23. PMID 18930186 DOI: 10.1016/j.cognition.2008.07.017 |
1 |
|
| 2008 |
Goodman ND, Mansinghka VK, Roy D, Bonawitz K, Tenenbaum JB. Church: A language for generative models Proceedings of the 24th Conference On Uncertainty in Artificial Intelligence, Uai 2008. 220-229. |
1 |
|
| 1991 |
Goodman ND. Modernizing the philosophy of mathematics Synthese. 88: 119-126. DOI: 10.1007/BF00567740 |
0.01 |
|
| 1990 |
Goodman ND. Topological models of epistemic set theory Annals of Pure and Applied Logic. 46: 147-167. DOI: 10.1016/0168-0072(90)90032-W |
0.01 |
|
| 1985 |
Goodman ND. A Genuinely Intensional Set Theory Studies in Logic and the Foundations of Mathematics. 113: 63-79. DOI: 10.1016/S0049-237X(08)70140-X |
0.01 |
|
| 1984 |
Goodman ND. The knowing mathematician Synthese. 60: 21-38. DOI: 10.1007/BF00485616 |
0.01 |
|
| 1983 |
Goodman ND. Reflections on bishop's philosophy of mathematics The Mathematical Intelligencer. 5: 61-68. DOI: 10.1007/BF03026577 |
0.01 |
|
| 1981 |
Goodman ND. The experiential foundations of mathematical knowledge History and Philosophy of Logic. 2: 55-65. DOI: 10.1080/01445348108837021 |
0.01 |
|
| 1970 |
Goodman ND. A Theory of Constructions Equivalent to Arithmetic Studies in Logic and the Foundations of Mathematics. 60: 101-120. DOI: 10.1016/S0049-237X(08)70745-6 |
0.01 |
|
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