Robert D. Hawkins
Cited by
Cited by
Colors in context: A pragmatic neural model for grounded language understanding
W Monroe, RD Hawkins, ND Goodman, C Potts
Transactions of the Association for Computational Linguistics 5, 325–338, 2017
Bootstrap methods for the empirical study of decision-making and information flows in social systems
S DeDeo, RD Hawkins, S Klingenstein, T Hitchcock
Entropy 15 (6), 2246-2276, 2013
Path ensembles and a tradeoff between communication efficiency and resilience in the human connectome
A Avena-Koenigsberger, B Mišić, RD Hawkins, A Griffa, P Hagmann, ...
Brain Structure and Function 222 (1), 603-618, 2017
When redundancy is useful: A Bayesian approach to 'overinformative' referring expressions
J Degen, RD Hawkins, C Graf, E Kreiss, ND Goodman
Psychological Review 127 (4), 591–621, 2020
Features of response times: Identification of cognitive mechanisms through mathematical modeling
D Algom, A Eidels, RD Hawkins, B Jefferson, JT Townsend
The Oxford Handbook of Computational and Mathematical Psychology, 63--98, 2015
Conducting real-time multiplayer experiments on the web
RD Hawkins
Behavior research methods 47 (4), 966-976, 2015
Why do you ask? Good questions provoke informative answers.
RD Hawkins, A Stuhlmüller, J Degen, ND Goodman
Proceedings of the 37th Conference of the Cognitive Science Society, 2015
The emergence of social norms and conventions
RD Hawkins, ND Goodman, RL Goldstone
Trends in Cognitive Sciences 23 (2), 158--169, 2019
Improving the replicability of psychological science through pedagogy
RD Hawkins, EN Smith, C Au, JM Arias, R Catapano, E Hermann, M Keil, ...
Advances in Methods and Practices in Psychological Science 1 (1), 7–18, 2018
Convention-formation in iterated reference games
RD Hawkins, M Frank, ND Goodman
Proceedings of the 39th Conference of the Cognitive Science Society, 2017
Animal, dog, or dalmatian? Level of abstraction in nominal referring expressions.
C Graf, J Degen, RD Hawkins, ND Goodman
Proceedings of the 38th Annual Conference of the Cognitive Science Society, 2016
The formation of social conventions in real-time environments
RD Hawkins, RL Goldstone
PLoS ONE 11 (3), 1-14, 2016
ShapeGlot: Learning language for shape differentiation
P Achlioptas, JE Fan, RD Hawkins, ND Goodman, LJ Guibas
Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2019
Can two dots form a Gestalt? Measuring emergent features with the capacity coefficient
RD Hawkins, JW Houpt, A Eidels, JT Townsend
Vision research 126, 19--33, 2016
The division of labor in communication: Speakers help listeners account for asymmetries in visual perspective
RD Hawkins, H Gweon, ND Goodman
Cognitive Science 45 (3), e12926, 2021
Characterizing the dynamics of learning in repeated reference games
RD Hawkins, MC Frank, ND Goodman
Cognitive Science 44 (6), e12845, 2020
Pragmatic inference and visual abstraction enable contextual flexibility during visual communication
JE Fan, RD Hawkins, M Wu, ND Goodman
Computational Brain & Behavior 3 (1), 86–101, 2020
Generalizing meanings from partners to populations: Hierarchical inference supports convention formation on networks
RD Hawkins, ND Goodman, AE Goldberg, TL Griffiths
Proceedings of the 42nd Conference of the Cognitive Science Society, 2020
A tutorial on general recognition theory
NH Silbert, RD Hawkins
Journal of Mathematical Psychology 73, 94-109, 2016
Learning rewards from linguistic feedback
TR Sumers, MK Ho, RD Hawkins, K Narasimhan, TL Griffiths
Proceedings of the 35th AAAI Conference on Artificial Intelligence, 2021
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