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F SML Binz, M. , Akata, E. , Bethge, M. , Brändle, F. , Callaway, F. , Coda-Forno, J. , Dayan, P. , Demircan, C. , Eckstein, M. K. , Éltető, N. , Griffiths, T. L. , Haridi, S. , Jagadish, A. K. , Ji-An, L. , Kipnis, A. , Kumar, S. , Ludwig, T. , Mathony, M. , Mattar, M. , Modirshanechi, A. , Nath, S. S. , Peterson, J. C. , Rmus, M. , Russek, E. M. , Saanum, T. , Scharfenberg, N. , Schubert, J. A. , Schulze Buschoff, L. M. , Singhi, N. , Sui, X. , Thalmann, M. , Theis, F. , Truong, V. , Udandarao, V. , Voudouris, K. , Wilson, R. , Witte, K. , Wu, S. , Wulff, D. , Xiong, H. , & Schulz, E. (2025). A foundation model to predict and capture human cognition. Nature. (pdf)
DMRL IB Correa, C. G. , Sanborn, S. , Ho, M. K. , Callaway, F. , Daw, N. D. , & Griffiths, T. L. (2025). Exploring the hierarchical structure of human plans via program generation. Cognition, 255 , 105990. (pdf)
PR SML Geng, J. , Chen, H. , Arumugam, D. , & Griffiths, T. L. (2025). Are Large Language Models Reliable AI Scientists? Assessing Reverse-Engineering of Black-Box Systems. (preprint)
CEIL SC Ham, H. , Zhao, B. , Griffiths, T. L. , & Velez, N. (2025). Teaching Recombinable Motifs Through Simple Example. Cognitive Science, 49 (8). (pdf)
SC SML Liang, K. , Hu, H. , Liu, R. , Griffiths, T. L. , & Fisac, J. F. (2025). RLHS: Mitigating misalignment in RLHF with hindsight simulation. (preprint)
P SML Marjieh, R. , van Rijn, P. , Sucholutsky, I. , Lee, H. , Jacoby, N. , & Griffiths, T. L. (2025). Characterizing the large-scale structure of multimodal semantic networks. Cognitive Science, 49 (10). (pdf)
F Musslick, S. , Bartlett, L. K. , Chandramouli, S. H. , Dubova, M. , Gobet, F. , Griffiths, T. L. , Hullman, J. , King, R. D. , Kutz, J. N. , Lucas, C. G. , Mahesh, S. , Pestilli, F. , Sloman, S. J. , & Holmes, W. R. (2025). Automating the practice of science: Opportunities, challenges, and implications. Proceedings of the National Academy of Sciences, 122 (5), e2401238121. (pdf)
F Sucholutsky, I. , Zhao, B. , Hwang, H. , Chen, A. , Russakovsky, O. , Griffiths, T. L. (2025). Learning a doubly-exponential number of concepts from few examples. (preprint)
SML Yamakoshi, T. , Griffiths, T. L. , McCoy, R. T. , & Hawkins, R. D. (2025). Evaluating distillation methods for data-efficient syntax learning. Findings of the Association for Computational Linguistics: EMNLP 2025. (pdf)
SML Zhu, J. Q. , Yan, H. , & Griffths, T. L. (2025). Steering risk preferences in large language models by aligning behavioral and neural representations. (preprint)
PR SML Zhu, J. Q. , Yan, H. , & Griffiths, T. L. (2025). Recovering event probabilities from large language model embeddings via axiomatic constraints. (preprint)
DMRL SML Zhu, J. Q. , Xie, H. , Arumugam, D. , Wilson, R. C. , & Griffiths, T. L. (2025). Using reinforcement learning to train large language models to explain human decisions. (preprint)
CEIL F Allen, K. , Brändle, F. , Botvinick, M. , Fan, J. E. , Gershman, S. J. , Gopnik, A. , Griffiths, T. L. , Hartshorne, J. K. , Hauser, T. U. , Ho, M. , de Leeuw, J. R. , Ma, W. J. , Murayama, K. , Nelson, J. D. , van Opheusden, B. , Pouncy, T. , Rafner, J. , Rahwan, I. , Rutledge, R. B. , Sherson, J. , Şimşek, Ö. , Spiers, H. , Summerfield, C. , Thalmann, M. , Vélez, N. , Watrous, A. J. , Tenenbaum, J. B. , & Schulz, E. (2024). Using games to understand the mind. Nature Human Behaviour, 8 , 1035–1043. (pdf)
F SC Collins, K. M. , Sucholutsky, I. , Bhatt, U. , Chandra, K. , Wong, L. , Lee, M. , Zhang, C. E. , Zhi-Xuan, T. , Ho, M. , Mansinghka, V. , Weller, A. , Tenenbaum, J. B. , & Griffiths, T. L. (2024). Building machines that learn and think with people. Nature Human Behaviour, 8 (10), 1851-1863. (pdf)
DMRL P Dubey, R. , Hardy, M. , Griffiths, T. , & Bhui, R. (2024). AI-generated visuals of car-free American cities help increase support for sustainable transport policies. Nature Sustainability, 7 , 399–403. (pdf)
SC SML Guo, X. , Huang, K. , Liu, J. , Fan, W. , Vélez, N. , Wu, Q. , Wang, H. , & Griffiths, T. L. (2024). Embodied LLM agents learn to cooperate in organized teams. (preprint)
CI CD Harootonian, S. K. , Niv, Y. , Griffiths, T. , & Ho, M. K. (2024). Modeling cognitive strategies in teaching: Integrating theory of mind and heuristics. 46th Annual Meeting of the Cognitive Science Society . (pdf)
IB SML Kumar, S. , Marjieh, R. , Zhang, B. , Campbell, D. , Hu, M. Y. , Bhatt, U. , Lake, B. M. , & Griffiths, T. L. (2024). Comparing abstraction in humans and large language models using multimodal serial reproduction. 46th Annual Meeting of the Cognitive Science Society. (pdf)
SML Kumar, S. , Sumers, T. R. , Yamakoshi, T. , Goldstein, A. , Hasson, U. , Norman, K. A. , Griffiths, T. L. , Hawkins, R. D. , & Nastase, S. A. (2024). Shared functional specialization in transformer-based language models and the human brain. Nature Communications, 15(1) , 5523. (pdf)
CI F Lu, Q. , Nguyen, T. T. , Zhang, Q. , Hasson, U. , Griffiths, T. L. , & Zacks, J. M. (2024). Reconciling shared versus context-specific information in a neural network model of latent causes. Scientific Reports, 14(1) , 16782. (pdf)
P Marjieh, R. , van Rijn, P. , Sucholutsky, I. , Lee, H. , Griffiths, T. L. , & Jacoby, N. (2024). A rational analysis of the speech-to-song illusion. 46th Annual Meeting of the Cognitive Science Society. (pdf)
F SML McCoy, R. T. , Yao, S. , Friedman, D. , Hardy, M. D. , & Griffiths, T. L. (2024). Embers of autoregression show how large language models are shaped by the problem they are trained to solve. Proceedings of the National Academy of Sciences, 121 (41), e2322420121. (pdf)
F SML McCoy, R. T. , Yao, S. , Friedman, D. , Hardy, M. D. , & Griffiths, T. L. (2024). When a language model is optimized for reasoning, does it still show embers of autoregression? An analysis of OpenAI o1. (preprint)
IB S&C Rane, S. , Ho, M. , Sucholutsky, I. , & Griffiths, T. L. (2024). Concept alignment as a prerequisite for value alignment. 46th Annual Meeting of the Cognitive Science Society. (pdf)
S&C SC Sucholutsky, I. , Collins, K. M. , Malaviya, M. , Jacoby, N. , Liu, W. , Sumers, T. R. , Korakakis, M. , Bhatt, U. , Ho, M. , Tenenbaum, J. B. , Love, B. , Pardos, Z. A. , Weller, A. , & Griffiths, T. L. (2024). Representational alignment supports effective machine teaching. (preprint)
CD CEIL Turner, C. R. , Morgan, T. J. H. , & Griffiths, T. L. (2024). Environmental complexity and regularity shape the evolution of cognition. Proceedings of the Royal Society B, 291 (2033), 20241524. (pdf)
IB S&C Wynn, A. H. , Sucholutsky, I. , Griffiths, T. L. (2024). Learning human-like representations to enable learning human values. Advances in Neural Information Processing Systems 38 . (pdf)
IB S&C Zhu, J. Q. , Yan, H. , & Griffiths, T. (2024). Recovering mental representations from large language models with Markov chain Monte Carlo. 46th Annual Meeting of the Cognitive Science Society. (pdf)
DMRL SML Zhu, J. Q. , Yan, H. , & Griffiths, T. L. (2024). Language models trained to do arithmetic predict human risky and intertemporal choice. (preprint)
CEIL Brinkmann, L. , Baumann, F. , Bonnefon, J. , Derex, M. , Müller, T. F. , Nussberger, A. , Czaplicka, A. , Acerbi, A. , Griffiths, T. L. , Henrich, J. , Leibo, J. Z. , McElreath, R. , Oudeyer, P. , Stray, J. , & Rahwan, I. (2023). Machine culture. Nature Human Behaviour, 7 (11), 1855-1868.(pdf)
DMRL RPM Callaway, F. , Hardy, M. , & Griffiths, T. L. (2023). Optimal nudging for cognitively bounded agents: A framework for modeling, predicting, and controlling the effects of choice architectures. Psychological Review, 130 (6), 1457–1491. (pdf)
DMRL RPM Correa, C. G. , Ho, M. K. , Callaway, F. , Daw, N. D. , Griffiths, T. L. (2023). Humans decompose tasks by trading off utility and computational cost. PLOS Computational Biology, 19 (6), e1011087. (pdf)
CEIL DMRL Hardy, M. D. , Thompson, B. , Krafft, P. M. , & Griffiths, T. L. (2023). Resampling reduces bias amplification in experimental social networks. Nature Human Behavior, 7, 2084-2098. (pdf)
CEIL SC Hawkins, R. D. , Franke, M. , Frank, M. C. , Goldberg, A. E. , Smith, K. , Griffiths, T. L. , & Goodman, N. D. (2023). From partners to populations: A hierarchical Bayesian account of coordination and convention. Psychological Review, 130 (4), 977–1016. (pdf)
DMRL He, R. , Correa, C. G. , Griffiths, T. L. , & Ho, M. K. (2023). Structurally guided task decomposition in spatial navigation tasks (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence, 38 . (pdf)
DMRL Ho, M. K. , Cohen, J. D. , & Griffiths, T. L. (2023). Rational simplification and rigidity in human planning. Psychological Science, 34 (11), 1281-1292. (pdf)
DMRL RPM Jain, Y. R. , Callaway, F. , Griffiths, T. L. , Dayan, P. , He, R. , Krueger, P. M. , & Lieder, F. (2023). A computational process-tracing method for measuring people’s planning strategies and how they change over time. Behavior Research Methods, 55 , 2037–2079. (pdf)
SC SML Liu, R. , Yen, H. , Marjieh, R. , Griffiths, T. L. , & Krishna, R. (2023). Improving interpersonal communication by simulating audiences with language models. 45th Annual Meeting of the Cognitive Science Society. (pdf)
PR Lu, Q. , Nguyen, T. T. , Hasson, U. , Griffiths, T. L. , Zacks, J. M. , Gershman, S. J. , & Norman, K. A. (2023). Toward a more neurally plausible neural network model of latent cause inference. Computational Cognitive Neuroscience Conference 2023. (pdf)
S&C Marjieh, R. , Van Rijn, P. , Sucholutsky, I. , Sumers, T. , Lee, H. , Griffiths, T. L. , & Jacoby, N. (2023) Words are all you need? Language as an approximation for human similarity judgments. Proceedings of the 11th International Conference on Learning Representations (ICLR). (preprint)
DMRL IB Rane, S. , Ho, M. , Sucholutsky, I. , & Griffiths, T. L. (2023). Concept alignment as a prerequisite for value alignment. AAAI 2024 Bridge on Collaborative AI and Modeling of Humans. (pdf)
F Sucholutsky, I. , Muttenthaler, L. , Weller, A. , Peng, A. , Bobu, A. , Kim, B. , Love, B. C. , Grant, E. , Achterberg, J. , Tenenbaum, J. B. , Collins, K. M. , Hermann, K. L. , Oktar, K. , Greff, K. , Hebart, M. N. , Jacoby, N. , Marjieh, R. , Geirhos, R. , Chen, S. , Kornblith, S. , Rane, S. , Konkle, T. , O'Connell, T. P. , Unterthiner, T. , Lampinen, A. K. , Müller, K.-R. , Toneva, M. , & Griffiths, T. L. (2023). Getting aligned on representational alignment. (preprint)
DMRL SML Sumers, T. R. , Ho, M. K. , Griffiths, T. L. , & Hawkins, R. D. (2023). Reconciling truthfulness and relevance as epistemic and decision-theoretic utility. Psychological Review 131 (1), 194. (pdf)
E SML Sumers, T. R. , Ho, M. K. , Hawkins, R. D. , & Griffiths, T. L. (2023). Show or tell? Exploring when (and why) teaching with language outperforms demonstration. Cognition, 232, 105326. (pdf)
CEIL Vélez, N. , Christian, B. , Hardy, M. , Thompson, B. D. , & Griffiths, T. L. (2023). How do humans overcome individual computational limitations by working together? Cognitive Science, 47 (1), e13232. (pdf)
CEIL RPM Hardy, M. D. , Krafft, P. M. , Thompson, B. , & Griffiths, T. L. (2022). Overcoming Individual Limitations Through Distributed Computation: Rational Information Accumulation in Multigenerational Populations. Topics in Cognitive Science, 14 (3), 550–573. (pdf)
DMRL RPM Ho, M. K. , Abel, D. , Correa, C. G. , Littman, M. L. , Cohen, J. D. , & Griffiths, T. L. (2022). People construct simplified mental representations to plan. Nature, 606 (7912), 129-136. (pdf)
DMRL F Ho, M. K. , & Griffiths, T. L. (2022). Cognitive science as a source of forward and inverse models of human decisions for robotics and control. Annual Review of Control, Robotics, and Autonomous Systems, 5, 33-53. (pdf)
IB SML Kumar, S. , Correa, C. G. , Dasgupta, I. , Marjieh, R. , Hu, M. Y. , Hawkins, R.D. , Daw, N. D. , Cohen, J. D. , Narasimhan, K. R. , & Griffiths, T. L. (2022). Using Natural Language and Program Abstractions to Instill Human Inductive Biases in Machines. Advances in Neural Information Processing Systems 36. (preprint)
P SC Murthy, S. K. , Hawkins, R. D. , & Griffiths, T. L. (2022). Shades of confusion: Lexical uncertainty modulates ad hoc coordination in an interactive communication task. Cognition, 225, 105152. (pdf)
DMRL E Sumers, T. R. , Hawkins, R. D. , Ho, M. K. , Griffiths, T. L. , & Hadfield-Menell, D. (2022). How to talk so AI will learn: Instructions, descriptions, and autonomy. Advances in Neural Information Processing Systems 36. (pdf)
IB SML Yamakoshi, T. , Griffiths, T.L. , Hawkins, R.D. (2022) Probing BERT's priors with serial reproduction chains. Findings of the Association for Computational Linguistics (ACL). (pdf)
PR SML Barnett, S. A. , Griffiths, T. L. , Hawkins, R. D. (2022). A pragmatic account of the weak evidence effect. Open Mind, 6 , 169-182. (pdf)
DMRL E Dubey, R. , Ho, M. K. , Mehta, H. , & Griffiths, T. L. (2021). Aha! Moments correspond to meta-cognitive prediction errors. (preprint)
PR SC Gates, V. , Callaway, F. , Ho, M. K. , Griffiths, T. (2021). A rational model of people's inferences about others' preferences based on response times. Cognition, 217 , 104885. (pdf)
PR SC Hawkins, R. D. , Liu, I. , Goldberg, A. E. , Griffiths, T. L. (2021). Respect the code: Speakers expect novel conventions to generalize within but not across social group boundaries. Proceedings of the 43rd Annual Conference of the Cognitive Science Society. (pdf)
P Langlois, T. A. , Zhao, H. C. , Grant, E. , Dasgupta, I. , Griffiths, T. L. , & Jacoby, N. (2021). Passive attention in artificial neural networks predicts human visual selectivity. Advances in Neural Information Processing Systems 34. (pdf)
DMRL SML Sumers, T. R. , Hawkins, R. D. , Ho, M. K. , & Griffiths, T. L. (2021). Extending rational models of communication from beliefs to actions. Proceedings of the 43rd Annual Meeting of the Cognitive Science Society. (pdf)
DMRL SML Sumers, T. R. , Ho, M. K. , Hawkins, R. D. , Narasimhan, K. R. , & Griffiths, T. L. (2021). Learning rewards from linguistic feedback. Proceedings of the 35th AAAI Conference on Artificial Intelligence . (pdf)
DMRL RPM Callaway, F. , Hardy, M. , & Griffiths, T. L. (2020). Optimal nudging. Proceedings of the 42nd Annual Conference of the Cognitive Science Society. (pdf)
DMRL RPM Correa, C. G.* , Ho, M. K.* , Callaway, F. , & Griffiths, T. L. (2020). Resource-rational Task Decomposition to Minimize Planning Costs. Proceedings of the 42nd Annual Conference of the Cognitive Science Society. (pdf)
IB SML Hawkins, R. D.* , Yamakoshi, T.* , Griffiths, T. L. , & Goldberg, A. E. (2020). Investigating representations of verb bias in neural language models. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) . (pdf)
CEIL SML Hawkins, R. D. , Goodman, N. D. , Goldberg, A. E. , & Griffiths, T. L. (2020). Generalizing meanings from partners to populations: Hierarchical inference supports convention formation on networks. Proceedings of the 42nd Annual Conference of the Cognitive Science Society . (pdf)
DMRL Ho, M. K. , Abel, D. , Cohen, J. D. , Littman, M. L. , & Griffiths, T. L. (2020). The Efficiency of Human Cognition Reflects Planned Information Processing. Proceedings of the 34th AAAI Conference on Artificial Intelligence . (pdf)
DMRL P Sumers, T. R. , Ho, M. K. , & Griffiths, T. L. (2020). Show or tell? Demonstration is more robust to changes in shared perception than explanation. Proceedings of the 42nd Annual Conference of the Cognitive Science Society . (pdf)
DMRL PR Hardy, M. , & Griffiths, T. L. (2019). Demonstrating the impact of prior knowledge in risky choice. (preprint)
NBM PR Jerfel, G. , Grant, E. L. , Griffiths, T. L. , & Heller, K. (2019). Reconciling meta-learning and continual learning with online mixtures of tasks. Advances in Neural Information Processing Systems 32 . (pdf)
E Jupyter, P. , Blank, D. , Bourgin, D. , Brown, A. , Bussonnier, M. , Frederic, J. , Granger, B. , Griffiths, T. L. , Hamrick, J. , Kelley, K. , Pacer, M. , Page, L. , Perez, F. , Ragan-Kelley, B. , Suchow, J. W. , & Willing, C. (2019). nbgrader: A tool for creating and grading assignments in the Jupyter notebook. Journal of Open Source Education, 2 (11), 32. (pdf)
DMRL F Ho, M. K. , Abel, D. , Griffiths, T. L. , & Littman, M. L. (2019). The value of abstraction. Current Opinion in Behavioral Sciences, 29 , 111-116. (pdf)
PR S&C Hsu, A. S. , Martin, J. B. , Sanborn, A. N. , & Griffiths, T. L. (2019). Identifying category representations for complex stimuli using discrete Markov chain Monte Carlo with people. Behavior Research Methods, 51 , 1706-1716. (pdf)
DMRL Carroll, M. , Shah, R. , Ho, M. K. , Griffiths, T. , Seshia, S. , Abbeel, P. , & Dragan, A. (2019). On the Utility of Learning about Humans for Human-AI Coordination. In H. Wallach, H. Larochelle, A. Beygelzimer, F. Alché-Buc, E. Fox, & R. Garnett (Eds.), Advances in Neural Information Processing Systems 32 , 5174–5185. (pdf)
DMRL PR Ho, M. K. , Korman, J. , & Griffiths, T. L. (2019). The computational structure of unintentional meaning. Proceedings of the 41st Annual Conference of the Cognitive Science Society . (pdf)
DMRL RPM Lieder, F. , Griffiths, T. L. , Huys, Q. J. M. , & Goodman, N. D. (2018). Empirical evidence for resource-rational anchoring and adjustment. Psychonomic Bulletin & Review, 25 , 775-784. (pdf)
DMRL RPM Lieder, F. , Griffiths, T. L. , Huys, Q. J. M. , & Goodman, N. D. (2018). The anchoring bias reflects rational use of cognitive resources. Psychonomic Bulletin & Review, 25 , 322-349. (pdf)
DMRL PR RPM Lieder, F. , Griffiths, T. L. , & Hsu, M (2018). Over-representation of extreme events in decision making reflects rational use of cognitive resources. Psychological Review, 125(1), 1-32. (pdf)
PR SML Gates, M. A. , Veuthey, T. L. , Tessler, M. H. , Smith, K. A. , Gerstenberg, T. , Bayet, L. , & Tenenbaum, J. B. (2018). Tiptoeing around it: Inference from absence in potentially offensive speech. Proceedings of the 40th Annual Conference of the Cognitive Science Society. (pdf)
SML de Heer, W. A. , Huth, A. G. , Griffiths, T. L. , Gallant, J. L. , & Theunissen, F. E. (2017). The hierarchical cortical organization of human speech processing. Journal of Neuroscience, 37(27), 6539-6557. (pdf)
DMRL PR Fisac, J. F. , Gates, M. A. , Hamrick, J. B. , Liu, C. , Hadfield-Menell, D. , Palaniappan, M. , Malik, D. , Sastry, S. S. , Griffiths, T. L. , & Dragan, A. D. (2017). Pragmatic-Pedagogic Value Alignment. International Symposium on Robotics Research . (pdf)
CD Gopnik, A. , O'Grady, S. , Lucas, C. G. , Griffiths, T. L. , Wente, A. , Bridgers, S. , Aboody, R. , Fung, H. , & Dahl, R. E. (2017). Changes in cognitive flexibility and hypothesis search across human life history from childhood to adolescence to adulthood. Proceedings of the National Academy of Sciences, 114(30), 7892-7899. (pdf)
CI P Callaway, F. , Hamrick, J. B. , & Griffiths, T. L. (2017). Discovering simple heuristics from mental simulation. Proceedings of the 39th Annual Conference of the Cognitive Science Society. (pdf)
SML Huth, A. G. , de Heer, W. A. , Griffiths, T. L. , Theunissen, F. E. , & Gallant, J. L. (2016). Natural speech reveals the semantic maps that tile the human cerebral cortex. Nature, 532 453-458. (pdf)
CI P PR Hamrick, J. B. , Battaglia, P. W. , Griffiths, T. L. , Tenenbaum, J. B. (2016). Inferring mass in complex scenes by mental simulation. Cognition, 157, 61-76. (pdf)
PR SML Hsu, A. , & Griffiths, T. L. (2016). Sampling assumptions affect use of indirect negative evidence in language learning PLOS One, 11(6) . (pdf)
F P Griffiths, T. L. , Abbott, J. T. , & Hsu, A. S. (2016). Exploring human cognition using large image databases. Topics in Cognitive Science, 8(3), 569-588. (pdf)
CD PR Eaves Jr, B. S. , Feldman, N. H. , Griffiths, T. L. , & Shafto, P. (2016). Infant-directed speech is consistent with teaching. Psychological Review (pdf)
RPM Hsu, A. S. , Horng, A. , Griffiths, T. L. , & Chater, N. (2016). When absence of evidence is evidence of absence: Rational inferences from absent data. Cognitive Science , 1-13. (pdf)
PR Fisac, J. F. , Liu, C. , Hamrick, J. B. , Sastry, S. , Hedrick, J. K. , Griffiths, T. L. , & Dragan, A. D. (2016). Generating plans that predict themselves. In Proceedings of the 12th International Workshop on the Algorithmic Foundations of Robotics (WAFR 2016) . (pdf)
PR SC Liu, C. , Hamrick, J. B. , Fisac, J. F. , Dragan, A. D , Hendrick, J. K. , Sastry, S. S , & Griffiths, T. L. (2016). Goal inference improves objective and perceived performance in human-robot collaboration. Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems . (pdf)
CD PR Hu, J. , Lucas, C. G. , Griffiths, T. L. , & Xu, F. (2015). Preschoolers' understanding of graded preferences. Cognitive Development, 36 , 93-102. (pdf)
F Goodman, N. D. , Frank, M. C. , Griffiths, T. L. , Tenenbaum, J. B. , Battaglia, P. , & Hamrick, J. B. (2015). Relevant and robust. A response to Marcus and Davis. Psychological Science, 26 , 539-541. (pdf)
P RPM Hamrick, J. , Smith, K. A. , Griffiths, T. L. , & Vul, E. (2015). Think again? The amount of mental simulation tracks uncertainty in the outcome. Proceedings of the 37th Annual Conference of the Cognitive Science Society (pdf)
CD Hu, J. , Whalen, A. , Buchsbaum, D. , Griffiths, T. L. , & Xu, F. (2015). Can children balance the size of a majority with the quality of their information? Proceedings of the 37th Annual Conference of the Cognitive Science Society . (pdf)
CD PR Lieder, F. , Sim, Z. , Hu, J. C. , & Griffiths, T. L. (2015). Children and adults differ in their strategies for social learning. Proceedings of the 37th Annual Conference of the Cognitive Science Society . (pdf)
CEIL Morgan, T. J. H , & Griffiths, T. L. (2015). What the Baldwin Effect affects. Proceedings of the 37th Annual Conference of the Cognitive Science Society . (pdf)
RPM Lieder, F. , Plunkett, D. , Hamrick, J. B. , Russell, S. J. , Hay, N. J. , & Griffiths, T. L. (2014). Algorithm selection by rational metareasoning as a model of human strategy selection. Advances in Neural Information Processing Systems 27 . (pdf)
CD PR Lucas, C. G. , Griffiths, T. L. , Xu, F. , Fawcett, C. , Gopnik, A. , Kushnir, T. , Markson, L. , & Hu, J. (2014). The child as econometrician: A rational model of preference understanding in children. PLOS One, 9(3) , e92160. (pdf)
PR RPM Hamrick, J. B. , & Griffiths, T. L. (2014). What to simulate? Inferring the right direction for mental rotation. Proceedings of the 36th Annual Conference of the Cognitive Science Society . (pdf)
PR RPM Lieder, F. , Hsu, M. , & Griffiths, T. L. (2014). The high availability of extreme events serves resource-rational decision-making. Proceedings of the 36th Annual Conference of the Cognitive Science Society . (pdf)
NBM SML Feldman, N. H. , Griffiths, T. L. , Goldwater, S. , & Morgan, J. (2013). A role for the developing lexicon in phonetic category acquisition. Psychological Review, 120, 751-778. (pdf)
S&C SML Feldman, N. H. , Myers, E. B. , White, K. S. , Griffiths, T. L. , & Morgan, J. L. (2013). Word-level information influences phonetic learning in adults and infants. Cognition, 127 , 427-438. (pdf)
PR RPM Abbott, J. T. , Hamrick, J. B. , & Griffiths, T. L. (2013). Approximating Bayesian inference with a sparse distributed memory system. Proceedings of the 35th Annual Conference of the Cognitive Science Society. (pdf)
CI CEIL Hu, J.. C , Buchsbaum, D. , Griffiths, T. L. , & Xu, F. (2013). When does the majority rule? Preschoolers' trust in majority informants varies by task domain. Proceedings of the 35th Annual Conference of the Cognitive Science Society. (pdf)
CEIL SML Bouchard-Cote, A. , Hall, D. , Griffiths, T. L. , & Klein, D. (2013) Automated reconstruction of ancient languages using probabilistic models of sound change. Proceedings of the National Academy of Sciences. (pdf)
CEIL Bugnyar, T. , Boyd, R. , Bossan, B. , Gächter, S. , Griffiths, T. , Hammerstein, P. , Jensen, K. , Mussweiler, T. , Nagel, R. , & Warneken, F. (2012). Evolutionary perspectives on social cognition. In P. Hammerstein & J. R. Stevens (Eds.) Evolution and the Mechanisms of Decision Making: Toward a Darwinian Decision Theory. Cambridge, MA: MIT Press. (book)
CEIL S&C Hsu, A. S , Martin, J. B. , Sanborn, A. N. , & Griffiths, T. L. (2012). Identifying representations of categories of discrete items using Markov chain Monte Carlo with People. Proceedings of the 34th Annual Conference of the Cognitive Science Society. (pdf)
PR S&C Abbott, J. T. , Heller, K. A. , Ghahramani, Z. , & Griffiths, T. L. (2011). Testing a Bayesian measure of representativeness using a large image database. Advances in Neural Information Processing Systems , 24. (pdf)
SML Feldman, N. H. , Myers, E. , White, K. , Griffiths, T. L. , & Morgan, J. L. (2011). Learners use word-level statistics in phonetic category acquisition. Proceedings of the 35th Boston University Conference on Language Development. (pdf)
PR RPM S&C Shi, L. , Griffiths, T. L. , Feldman, N. H. , & Sanborn, A. N. (2010). Exemplar models as a mechanism for performing Bayesian inference. Psychonomic Bulletin & Review, 17 (4), 443-464. (pdf)
PR Hsu, A. , Griffiths, T. L. , & Schreiber, E. (2010). Subjective randomness and natural scene statistics. Psychonomic Bulletin & Review, 17, 624-629. (pdf)
S&C Hsu, A. S. , & Griffiths, T. L. (2010). Effects of generative and discriminative learning on use of category variability. Proceedings of the 32nd Annual Conference of the Cognitive Science Society. (pdf)
SML Hsu, A. , & Griffiths, T. L. (2009). Differential use of implicit negative evidence in generative and discriminative language learning. Advances in Neural Information Processing Systems 22. (pdf)
P S&C SML Feldman, N. H. , Griffiths, T. L. , & Morgan, J. L. (2009). The influence of categories on perception: Explaining the perceptual magnet effect as optimal statistical inference. Psychological Review, 116, 752-782. (pdf)
CEIL Jaeger, H. , Baronchelli, A. , Briscoe, T. , Christiansen, M. H. , Griffiths, T. L. , Jager, G. , Kirby, S. , Komarova, N. L. , Richerson, P. J. , Steels, L. , & Triesch, J (2009). What can mathematical, computational and robotic models tell us about the origins of syntax? In D. Bickerton & E. Szathmary (Eds.) Biological foundations and origins of syntax. Cambridge, MA: MIT Press. NBM SML Feldman, N. H. , Griffiths, T. L. , & Morgan, J. L. (2009). Learning phonetic categories by learning a lexicon. Proceedings of the 31st Annual Conference of the Cognitive Science Society. (pdf)
RPM S&C Shi, L. , Feldman, N. H. , & Griffiths, T. L. (2008). Performing Bayesian inference with exemplar models. Proceedings of the 30th Annual Conference of the Cognitive Science Society. (pdf)
S&C SML Feldman, N. H. , & Griffiths, T. L. (2007). A rational account of the perceptual magnet effect. Proceedings of the Twenty-Ninth Annual Conference of the Cognitive Science Society. (pdf)