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Bayesian collective learning emerges from heuristic social learning
Cognition 212 (C):104469 (2021)
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Citations of this work
Active inductive inference in children and adults: A constructivist perspective.Neil R. Bramley & Fei Xu - 2023 - Cognition 238 (C):105471.
Overcoming Individual Limitations Through Distributed Computation: Rational Information Accumulation in Multigenerational Populations.Mathew D. Hardy, Peaks M. Krafft, Bill Thompson & Thomas L. Griffiths - 2022 - Topics in Cognitive Science 14 (3):550-573.
Naïve information aggregation in human social learning.J. -Philipp Fränken, Simon Valentin, Christopher G. Lucas & Neil R. Bramley - 2024 - Cognition 242 (C):105633.
A Social Interpolation Model of Group Problem‐Solving.Sabina J. Sloman, Robert L. Goldstone & Cleotilde Gonzalez - 2021 - Cognitive Science 45 (12):e13066.
Learning words in space and time: Contrasting models of the suspicious coincidence effect.Gavin W. Jenkins, Larissa K. Samuelson, Will Penny & John P. Spencer - 2021 - Cognition 210 (C):104576.
References found in this work
Resource-rational analysis: understanding human cognition as the optimal use of limited computational resources.Falk Lieder & Thomas L. Griffiths - forthcoming - Behavioral and Brain Sciences:1-85.
One and Done? Optimal Decisions From Very Few Samples.Edward Vul, Noah Goodman, Thomas L. Griffiths & Joshua B. Tenenbaum - 2014 - Cognitive Science 38 (4):599-637.
Language Evolution by Iterated Learning With Bayesian Agents.Thomas L. Griffiths & Michael L. Kalish - 2007 - Cognitive Science 31 (3):441-480.
On Modeling Cognition and Culture: Why cultural evolution does not require replication of representations.Robert Boyd - 2002 - Journal of Cognition and Culture 2 (2):87-112.
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