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Kalish, M. L., Griffiths, T. L., and Lewandowsky, S. (2007) Iterated learning: Intergenerational knowledge transmission reveals inductive biases. Psychonomic Bulletin and Review, 14(2):288--294.

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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 āœiterated learningā as a mode of cultural transmission raises the question of how it affects the information being transmitted. Analyses of iterated learning under 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 confirms this prediction, providing insight into the consequences of intergenerational knowledge transmission and a method for discovering the inductive biases that guide human inferences.
BibTex
@article{kalish07iteratedLearning,
  author={Michael L. Kalish and Thomas L. Griffiths and Stephan Lewandowsky},
  title={Iterated learning: Intergenerational knowledge transmission reveals inductive biases},
  journal={Psychonomic Bulletin and Review},
  year={2007},
  month={APR},
  volume={14},
  number={2},
  pages={288-294},
  url={http://groups.lis.illinois.edu/amag/langev/paper/kalish07iteratedLearning.html}
}