• Chaolan Lin

Bayesian models of social cognition

1. Introduction to Bayesian Approaches to Social Cognition

Cushman, F., & Gershman, S. (2019). Editors’ Introduction: Computational Approaches to Social Cognition. Topics in Cognitive Science, 11(2), 281–298.


Perfors, Tenenbaum, Griffiths, & Xu (2011), A Tutorial Introduction to Bayesian Models of Cognitive Development.


2. Action understanding and Bayesian theory of mind

Baker, C. L., Saxe, R., & Tenenbaum, J. B. (2009). Action understanding as inverse planning. Cognition113(3), 329-349.

Baker, C. L., Jara-Ettinger, J., Saxe, R., & Tenenbaum, J. B. (2017). Rational quantitative attribution of beliefs, desires and percepts in human mentalizing. Nature Human Behaviour1(4), 0064.


Schachner, A. and Carey, S. (2013). Reasoning about 'irrational' actions: When intentional movements cannot be explained, the movements themselves are seen as the goal. Cognition, 129, 309-327.


3. Social norms and conventions

Hawkins, R. X., Goodman, N. D., & Goldstone, R. L. (2018). The emergence of social norms and conventions. Trends in cognitive science.


Robert X. D. Hawkins*, Minae Kwon*, Dorsa Sadigh, Noah D. Goodman. (2019) Continual Adaptation for Efficient Machine Communication. Proceedings of the ICML Workshop on Adaptive & Multitask Learning: Algorithms & Systems


Tan, Z. X., & Ong, D. C. (2019). Bayesian Inference of Social Norms as Shared Constraints on Behavior. arXiv preprint arXiv:1905.11110.


4. Inferring preferences, and the naïve utility calculus

Jern, Lucas, & Kemp (2017). People learn other people’s preferences through inverse decision-making.


Jara-Ettinger, J., Gweon, H., Schulz, L. E., & Tenenbaum, J. B. (2016). The naïve utility calculus: Computational principles underlying commonsense psychology. Trends in Cognitive Sciences20(8), 589-604.


Liu, S., Ullman, T. D., Tenenbaum, J. B., & Spelke, E. S. (2017). Ten-month-old infants infer the value of goals from the costs of actions. Science, 358(6366), 1038–1041.


5. Rational speech acts, pragmatics and language

Bergen, L., Levy, R., & Goodman, N. (2016). Pragmatic reasoning through semantic inference. Semantics and Pragmatics, 9. https://doi.org/10.3765/sp.9.20


Goodman & Stuhlmuller (2013), Knowledge and Implicature: Modeling Language Understanding as Social Cognition. TopiCS.


Frank, M. C., & Goodman, N. D. (2012). Predicting pragmatic reasoning in language games. Science, 336(6084), 998.


6. Teaching & pedagogy

Shafto, P., Goodman, N. D., & Griffiths, T. L. (2014). A rational account of pedagogical reasoning: Teaching by, and learning from, examples. Cognitive psychology71, 55-89.


Bridgers, S., Jara-Ettinger, J., & Gweon, H. (in press). Young children consider the expected utility of others' learning to decide what to teach. Nature Human Behaviour.


7. Understanding social goals and social interactions

Shum, M., Kleiman-Weiner, M., Littman, M. L., & Tenenbaum, J. B. (2019). Theory of minds: Understanding behavior in groups through inverse planning. arXiv preprint arXiv:1901.06085. & Proceedings of the Cognitive Science Society.


Kleiman-Weiner, M, Ho, MK, Austerweil JL, Littman, ML, Tenenbaum, J.B. (2016). Coordinate to cooperate or compete: Abstract goals and joint intentions in social interaction. Proceedings of the Cognitive Science Society.


Ullman, T., Baker, C., Macindoe, O., Evans, O., Goodman, N., & Tenenbaum, J. B. (2009). Help or hinder: Bayesian models of social goal inference. In Advances in neural information processing systems(pp. 1874-1882).


8. Morality

Yu, H., Siegel, J. Z., & Crockett, M. J. (2019). Modeling Morality in 3‐D: Decision‐Making, Judgment, and Inference. Topics in cognitive science11(2), 409-432.


A Sosa, T. D Ullman, J. B Tenenbaum, S. J Gershman, T. Gerstenberg (preprint, under review). Moral Dynamics: Grounding Moral Judgment in Intuitive Physics and Intuitive Psychology.


Kleiman-Weiner, M., Saxe, R., & Tenenbaum, J. B. (2017). Learning a commonsense moral theory. Cognition167, 107-123.


9. Inferring the structure of social networks

Lau, T., Pouncy, H. T., Gershman, S. J., & Cikara, M. (2018). Discovering social groups via latent structure learning. Journal of Experimental Psychology: General.


Gershman, S. J., Pouncy, H. T., & Gweon, H. (2017). Learning the structure of social influence. Cognitive Science


Kemp, C., & Tenenbaum, J. B. (2008). The discovery of structural form. Proceedings of the National Academy of Sciences105(31), 10687-10692.


Kemp, C., Perfors, A., & Tenenbaum, J. B. (2007). Learning overhypotheses with hierarchical Bayesian models. Developmental science, 10(3), 307-321.

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