Bayesian collective learning emerges from heuristic social learning

Bayesian collective learning emerges from heuristic social learning

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Researchers across cognitive science, economics, and evolutionary biology have studied the ubiquitous phenomenon of social learning—the use of information about other people's decisions to make your own. Decision-making with the benefit of the accumulated knowledge of a community can result in...

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Bibliographic Details
Main Authors: Griffiths, T.L (Author), Krafft, P.M (Author), Pentland, A.“ (Author), Shmueli, E. (Author), Tenenbaum, J.B (Author)
Format: Article
Language:English
Published: Elsevier B.V. 2021
Subjects:
algorithm
article
Bayes theorem
Bayes Theorem
Bayesian models
big data
Big data
Collective intelligence
controlled study
decision making
Decision Making
exploration exploitation tradeoff
Exploration-exploitation dilemma
heuristics
Heuristics
human
human experiment
Humans
intelligence
learning
Learning
social learning
Social learning
Social Learning
Wisdom of crowds
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