Noah D. Goodman - Publications

Affiliations: 
Psychology Stanford University, Palo Alto, CA 
Website:
https://cocolab.stanford.edu/ndg.html

68 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
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  0.32
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 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 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 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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