Iterated learning: Intergenerational knowledge transmission reveals inductive biases

Michael L. Kalish, Thomas L. Griffiths, Stephan Lewandowsky

Research output: Contribution to journalArticlepeer-review

103 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)288-294
Number of pages7
JournalPsychonomic Bulletin and Review
Volume14
Issue number2
DOIs
StatePublished - Apr 2007

ASJC Scopus subject areas

  • Experimental and Cognitive Psychology
  • Developmental and Educational Psychology
  • Arts and Humanities (miscellaneous)

Fingerprint Dive into the research topics of 'Iterated learning: Intergenerational knowledge transmission reveals inductive biases'. Together they form a unique fingerprint.

Cite this