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References

  • Atran, S. (2001). The trouble with memes: Inferences versus imitation incultural creation. Human Nature, 12, 351381.
  • Boyer, P. (1998). Cognitive tracks of cultural inheritance: How evolved intuitive ontology governs cultural transmission. American Anthropologist, 100, 876889.
  • Brainard, D. H. (1997). The psychophysics toolbox. Spatial Vision, 10, 433436.
  • Brehmer, B. (1971). Subjects' ability to use functional rules. Psychonomic Science, 24, 259260.
  • Brehmer, B. (1974). Hypotheses about relations between scaled variables in the learning of probabilistic inference tasks. Organizational Behavior and Human Decision Processes, 11, 127.
  • Busemeyer, J. R., Byun, E., DeLosh, E. L., & McDaniel, M. A. (1997). Learning functional relations based on experience with input–output pairs by humans and artificial neural networks. In K. Lamberts & D. Shanks (Eds.), Concepts and categories (pp. 405437). Cambridge, MA: MIT Press.
  • Gelman, A., Carlin, J. B., Stern, H. S., & Rubin, D. B. (1995). Bayesian data analysis. New York: Chapman & Hall.
  • Gray, R. D., & Atkinson, Q. D. (2003). Language–tree divergence times support the Anatolian theory of Indo–European origin. Nature, 426, 435439.
  • Griffiths, T. L., & Kalish, M. L. (2007). A Bayesian view of language evolution by iterated learning. Cognitive Science, 31, 441480.
  • Griffiths, T. L., Christian, B. R., & Kalish, M. L. (2008). Using category structures to test iterated learning as a method for identifying inductive biases. Cognitive Science, 32, 68107.
  • Griffiths, T. L., Lucas, C., Williams, J. J., & Kalish, M. L. (2009). Modeling human function learning with Gaussian processes. In D. Koller, D. Schuurmans, Y. Bengio, and L. Bottou (Eds.), Advances in Neural Information Processing Systems, vol. 21 (pp. 553560). Red Hook, NY: Curran Associates.
  • Kalish, M., Lewandowsky, S., & Kruschke, J. (2004). Population of linear experts: Knowledge partitioning and function learning. Psychological Review, 111, 10721099.
  • Kalish, M. L., Griffiths, T. L., & Lewandowsky, S. (2007). Iterated learning: Intergenerational knowledge transmission reveals inductive biases. Psychonomic Bulletin and Review, 14, 288294.
  • Kirby, S., Dowman, M., & Griffiths, T. L. (2007). Innateness and culture in the evolution of language. Proceedings of the National Academy of Sciences, 104, 52415245.
  • Kirby, S., Cornish, H., & Smith, K. (2008). Cumulative cultural evolution in the laboratory: An experimental approach to the origins of structure in human language. Proceedings of the National Academy of Sciences USA, 105, 1068110686.
  • Pelli, D. G. (1997). The VideoToolbox software for visual psychophysics: Transforming numbers into movies. Spatial Vision, 10, 437442.
  • Rafferty, A., Griffiths, T. L., & Klein, D. (2009). Convergence bounds for language evolution by iterated learning. In Niels Taatgen and Hedderik van Rijn (Eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society, (pp. 24512456). Cognitive Science Society: Austin, TX.
  • Reali, F., & Griffiths, T. L. (2009). The evolution of frequency distributions: Relating regularization to inductive biases through iterated learning. Cognition, 111, 317328.
  • Reali, F., & Griffiths, T. L. (2010). Words as alleles: Connecting language evolution with Bayesian learners to models of genetic drift. Proceedings of the Royal Society, Series B, 277, 429436.
  • Shannon, C. E. (1948). The mathematical theory of communication. Bell System Technical Journal, 27, 379423, 623–656.
  • Sperber, D. (1996). Explaining culture: A naturalistic approach. Oxford, England: Blackwell.
  • Swadesh, M. (1952). Lexicostatistic dating of prehistoric ethnic contacts. Proceedings of the American Philosophical Society, 96, 452463.