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The evolutionary language game.

M A Nowak1, J B Plotkin, D C Krakauer

  • 1Institute for Advanced Study, Olden Lane, Princeton, NJ, 08540, USA. kathei@ias.edu

Journal of Theoretical Biology
|October 3, 1999
PubMed
Summary
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Evolutionary game dynamics model language evolution, showing parental and role model learning of vocabulary are superior. Mistakes in learning enhance evolutionary adaptation and explain common homonomy.

Area of Science:

  • Evolutionary Game Theory
  • Computational Linguistics
  • Bioinformatics

Background:

  • Language evolution is a complex process involving the transmission of communication strategies.
  • Understanding vocabulary acquisition and stability is crucial for linguistic evolution models.

Purpose of the Study:

  • To adapt evolutionary game dynamics for modeling language evolution, specifically vocabulary.
  • To investigate the impact of different learning mechanisms and errors on language transmission.

Main Methods:

  • Development of a mathematical framework integrating evolutionary game dynamics with language acquisition.
  • Simulation of three generational language transmission mechanisms: parental, role model, and random learning.
  • Introduction of errors into the language learning process to assess their effect on adaptation.

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Main Results:

  • Parental and role model learning strategies significantly outperform random learning in vocabulary transmission.
  • The introduction of errors in language learning enhances the efficiency of parental and role model learning.
  • The model provides a parsimonious explanation for the prevalence of homonomy (shared meaning, different signals) over synonymy (shared signal, different meanings).

Conclusions:

  • Modified evolutionary game dynamics offer a robust framework for studying language evolution.
  • Learning mechanisms and the presence of errors critically influence the trajectory of vocabulary development.
  • The model elucidates fundamental principles governing the structure of human lexicons.