• Corpus ID: 7205542

Thomas' theorem meets Bayes' rule: A model of the iterated learning of language

@inproceedings{Ferdinand2009ThomasTM,
  title={Thomas' theorem meets Bayes' rule: A model of the iterated learning of language},
  author={Vanessa Ferdinand and Willem Zuidema},
  year={2009}
}
We develop a Bayesian Iterated Learning Model (BILM) that models the cultural evolution of language as it is transmitted over generations of learners. We study the outcome of iterated learning in relation to the behavior of individual agents (their biases) and the social structure through which they transmit their behavior. BILM makes individual learning biases explicit and offers a direct comparison of how individual biases relate to the outcome of iterated learning. Most earlier BILMs use… 
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