View By Topic:
All Topics
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

(Click on an author's name to view all papers by that author.)

Filter publications

By Hawkins, R.
Murthy, S. K., Hawkins, R. D., & Griffiths, T. L. (preprint). Shades of confusion: Lexical uncertainty modulates ad hoc coordination in an interactive communication task. (link)
Hawkins, R. D., Franke, M., Frank, M. C., Smith, K., Griffiths, T. L., & Goodman, N. D. (preprint). From partners to populations: A hierarchical Bayesian account of coordination and convention. (link)
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)
Sumers, T. R., Ho, M. K., Hawkins, R.D., Narasimhan, K., & Griffiths, T. L. (2021). Learning rewards from linguistic feedback. Proceedings of the 35th AAAI Conference on Artificial Intelligence. (pdf)
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)
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)

© 2022 Computational Cognitive Science Lab  |  Department of Psychology  |  Princeton University