Artikel mit Open-Access-Mandaten - Thomas L. GriffithsWeitere Informationen
Nicht verfügbar: 2
Advancing rational analysis to the algorithmic level
F Lieder, TL Griffiths
Behavioral and Brain Sciences 43, 2020
Mandate: Netherlands Organisation for Scientific Research, Fundação para a Ciência e …
Meta-learning as a bridge between neural networks and symbolic Bayesian models.
RT McCoy, TL Griffiths
Behavioral & Brain Sciences 47, 2024
Mandate: Wellcome Trust
Verfügbar: 166
Tree of thoughts: Deliberate problem solving with large language models
S Yao, D Yu, J Zhao, I Shafran, T Griffiths, Y Cao, K Narasimhan
Advances in neural information processing systems 36, 11809-11822, 2023
Mandate: US National Science Foundation
Natural speech reveals the semantic maps that tile human cerebral cortex
AG Huth, WA De Heer, TL Griffiths, FE Theunissen, JL Gallant
Nature 532 (7600), 453-458, 2016
Mandate: US National Science Foundation, US National Institutes of Health
Resource-rational analysis: Understanding human cognition as the optimal use of limited computational resources
F Lieder, TL Griffiths
Behavioral and brain sciences 43, e1, 2020
Mandate: US Department of Defense, Netherlands Organisation for Scientific Research …
On the utility of learning about humans for human-ai coordination
M Carroll, R Shah, MK Ho, T Griffiths, S Seshia, P Abbeel, A Dragan
Advances in neural information processing systems 32, 2019
Mandate: US National Science Foundation
Changes in cognitive flexibility and hypothesis search across human life history from childhood to adolescence to adulthood
A Gopnik, S O’Grady, CG Lucas, TL Griffiths, A Wente, S Bridgers, ...
Proceedings of the National Academy of Sciences 114 (30), 7892-7899, 2017
Mandate: US National Science Foundation
The influence of categories on perception: explaining the perceptual magnet effect as optimal statistical inference.
NH Feldman, TL Griffiths, JL Morgan
Psychological review 116 (4), 752, 2009
Mandate: US National Institutes of Health
The anchoring bias reflects rational use of cognitive resources
F Lieder, TL Griffiths, QJ M. Huys, ND Goodman
Psychonomic bulletin & review 25, 322-349, 2018
Mandate: US Department of Defense
Human uncertainty makes classification more robust
JC Peterson, RM Battleday, TL Griffiths, O Russakovsky
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
Mandate: US National Science Foundation
The hierarchical cortical organization of human speech processing
WA De Heer, AG Huth, TL Griffiths, JL Gallant, FE Theunissen
Journal of Neuroscience 37 (27), 6539-6557, 2017
Mandate: US National Science Foundation, US National Institutes of Health, Wellcome Trust
Using large-scale experiments and machine learning to discover theories of human decision-making
JC Peterson, DD Bourgin, M Agrawal, D Reichman, TL Griffiths
Science 372 (6547), 1209-1214, 2021
Mandate: US National Science Foundation, US Department of Defense
Faster teaching via pomdp planning
AN Rafferty, E Brunskill, TL Griffiths, P Shafto
Cognitive science 40 (6), 1290-1332, 2016
Mandate: US National Science Foundation
Strategy selection as rational metareasoning.
F Lieder, TL Griffiths
Psychological review 124 (6), 762, 2017
Mandate: US Department of Defense
Overrepresentation of extreme events in decision making reflects rational use of cognitive resources.
F Lieder, TL Griffiths, M Hsu
Psychological review 125 (1), 1, 2018
Mandate: US Department of Defense, US National Institutes of Health
Rational metareasoning and the plasticity of cognitive control
F Lieder, A Shenhav, S Musslick, TL Griffiths
PLoS computational biology 14 (4), e1006043, 2018
Mandate: US Department of Defense, US National Institutes of Health
Cognitive architectures for language agents
T Sumers, S Yao, K Narasimhan, T Griffiths
Transactions on Machine Learning Research, 2023
Mandate: US National Science Foundation, US Department of Defense
A role for the developing lexicon in phonetic category acquisition.
NH Feldman, TL Griffiths, S Goldwater, JL Morgan
Psychological review 120 (4), 751, 2013
Mandate: US National Institutes of Health
Formalizing Neurath’s ship: Approximate algorithms for online causal learning.
NR Bramley, P Dayan, TL Griffiths, DA Lagnado
Psychological review 124 (3), 301, 2017
Mandate: US Department of Defense, UK Engineering and Physical Sciences Research …
Evaluating (and improving) the correspondence between deep neural networks and human representations
JC Peterson, JT Abbott, TL Griffiths
Cognitive science 42 (8), 2648-2669, 2018
Mandate: US National Science Foundation, US Department of Defense
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