Publications

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F Foundations
P Perception
E Education
CI Causal Induction
CD Cognitive Development
PR Probabilistic Reasoning
RPM Rational Process Models
S&C Similarity and Categorization
SML Statistical Models of Language
NBM Nonparametric Bayesian Models
CEIL Cultural Evolution and Iterated Learning
DMRL Decision Making and Reinforcement Learning

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By Ho, M.
DMRL
Correa, C. G., Sanborn, S., Ho, M. K., Callaway, F., Daw, N. D., & Griffiths, T. L. (2024). Exploring the hierarchical structure of human plans via program generation. Cognition, 255, 105990. (pdf)
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)
F
Allen, K. R., Brändle, F., Botvinick, M., Fan, J., Gershman, S. J., Griffiths, T. L., Hartshorne, J., Hauser, T. U., Ho, M. K., de Leeuw, J., Ma, W. J., Murayama, K., Nelson, J. D., van Opheusden, B., Pouncy, H. T., Rafner, J., Rahwan, I., Rutledge, R., Sherson, J., Simsek, O., Spiers, H., Summerfield, C., Thalmann, M., Vélez, N., Watrous, A., Tenenbaum, J., & Schulz, E. (2023). Using games to understand the mind. (preprint)
RPM
DMRL
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)
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
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)
SML
DMRL
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)
RPM
DMRL
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)
F
DMRL
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)
SML
DMRL
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)
F
E
DMRL
Dubey, R., Ho, M. K., Mehta, H., & Griffiths, T. L. (2021). Aha! Moments correspond to meta-cognitive prediction errors. (preprint)
PR
DMRL
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)
SML
DMRL
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)
SML
DMRL
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)
RPM
DMRL
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)
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)
P
DMRL
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)
F
DMRL
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)
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)
PR
DMRL
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)

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