Psychonomic Bulletin & Review

, Volume 14, Issue 2, pp 288–294 | Cite as

Iterated learning: Intergenerational knowledge transmission reveals inductive biases

  • Michael L. KalishEmail author
  • Thomas L. Griffiths
  • Stephan Lewandowsky
Brief Reports


Cultural transmission of information plays a central role in shaping human knowledge. Some of the most complex knowledge that people acquire, such as languages or cultural norms, can only be learned from other people, who themselves learned from previous generations. The prevalence of this process of “iterated learning” as a mode of cultural transmission raises the question of how it affects the information being transmitted. Analyses of iterated learning utilizing the assumption that the learners are Bayesian agents predict that this process should converge to an equilibrium that reflects the inductive biases of the learners. An experiment in iterated function learning with human participants confirmed this prediction, providing insight into the consequences of intergenerational knowledge transmission and a method for discovering the inductive biases that guide human inferences.


Positive Slope Iterate Learning Cultural Transmission Function Learning Bayesian Learner 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Psychonomic Society, Inc. 2007

Authors and Affiliations

  • Michael L. Kalish
    • 1
    Email author
  • Thomas L. Griffiths
    • 2
  • Stephan Lewandowsky
    • 3
  1. 1.Institute of Cognitive ScienceUniversity of Louisiana at LafayetteLafayette
  2. 2.University of CaliforniaBerkeley
  3. 3.University of Western AustraliaPerthAustralia

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