Thomas L. Griffiths

Affiliations: 
University of California, Berkeley, Berkeley, CA, United States 
Area:
computation
Website:
http://cocosci.berkeley.edu/tom/
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SNBCP

Parents

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Joshua Tenenbaum grad student 2005 Stanford
 (Causes, coincidences, and theories.)

Children

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Jay B. Martin research assistant 2007-2010 UC Berkeley
Christopher Ramsay Holdgraf research assistant 2010-2011 UC Berkeley
Tiffany Jean Hwu research assistant 2012-2014 UC Berkeley
Paul M. Krueger grad student
Kerem Oktar grad student Princeton (PsychTree)
Joshua Abbott grad student 2010- UC Berkeley
Michael Pacer grad student 2010- UC Berkeley
Jessica B. Hamrick grad student 2012- UC Berkeley
Rachit Dubey grad student 2016-
Sreejan Kumar grad student 2019-
Adam N. Sanborn grad student 2005-2006 Brown
Lei Shi grad student 2009 UC Berkeley
Christopher G. Lucas grad student 2006-2010 UC Berkeley
Kevin Robert Canini grad student 2011 UC Berkeley
Joseph L. Austerweil grad student 2007-2012 UC Berkeley
Joseph Jay Williams grad student 2007-2012 UC Berkeley
Anna Noonan Rafferty grad student 2014 UC Berkeley
Falk Lieder grad student 2013-2018 UC Berkeley (PsychTree)
Bill Thompson post-doc
Qiong Zhang post-doc
Robert D. Hawkins post-doc 2019- Princeton
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Publications

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Devraj A, Griffiths TL, Zhang Q. (2024) Reconciling categorization and memory via environmental statistics. Psychonomic Bulletin & Review
Cornell CA, Norman KA, Griffiths TL, et al. (2024) Improving Memory Search Through Model-Based Cue Selection. Psychological Science. 9567976231215298
Ho MK, Cohen JD, Griffiths TL. (2023) Rational Simplification and Rigidity in Human Planning. Psychological Science. 34: 1281-1292
Hardy MD, Thompson BD, Krafft PM, et al. (2023) Resampling reduces bias amplification in experimental social networks. Nature Human Behaviour
Griffiths TL, Kumar S, McCoy RT. (2023) On the hazards of relating representations and inductive biases. The Behavioral and Brain Sciences. 46: e275
Callaway F, Griffiths TL, Norman KA, et al. (2023) Optimal metacognitive control of memory recall. Psychological Review
Reichman D, Lieder F, Bourgin DD, et al. (2023) The Computational Challenges of Means Selection Problems: Network Structure of Goal Systems Predicts Human Performance. Cognitive Science. 47: e13330
Kumar S, Dasgupta I, Daw ND, et al. (2023) Disentangling Abstraction from Statistical Pattern Matching in Human and Machine Learning. Plos Computational Biology. 19: e1011316
Sumers TR, Ho MK, Griffiths TL, et al. (2023) Reconciling truthfulness and relevance as epistemic and decision-theoretic utility. Psychological Review
Correa CG, Ho MK, Callaway F, et al. (2023) Humans decompose tasks by trading off utility and computational cost. Plos Computational Biology. 19: e1011087
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