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Language evolution as a Darwinian process: computational studies.

Pierre-Yves Oudeyer1, Frédéric Kaplan

  • 1Sony Computer Science Laboratory Paris, Paris, France. py@csl.sony.fr

Cognitive Processing
|January 16, 2007
PubMed
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Language evolution can be precisely modeled as a Darwinian process, revealing diverse replicating units and mechanisms. Computational experiments demonstrate adaptation, cognitive pressures, and group selection in linguistic evolution.

Area of Science:

  • Computational linguistics
  • Evolutionary biology
  • Cognitive science

Background:

  • Language evolution is a complex phenomenon.
  • Understanding the mechanisms driving language change is crucial.
  • Previous models have not fully captured the Darwinian aspects of language evolution.

Purpose of the Study:

  • To conceptualize language evolution as a Darwinian process using computational experiments.
  • To explore the diversity of replicating units and mechanisms in language evolution.
  • To investigate systemic properties of linguistic replicators.

Main Methods:

  • Computational experiments simulating populations of linguistic replicators.
  • Analysis of adaptation to external environments.

Related Experiment Videos

  • Modeling evolution under cognitive and communication pressures.
  • Observation of neutral drift and coalition formation.

    • Main Results:

    • Demonstration of language evolution as a Darwinian process.
    • Identification of diverse replicating units and mechanisms.
    • Linguistic replicators adapt to environments and cognitive constraints.
    • Emergence of neutral drift, coalitions, and higher-level group selection.

    Conclusions:

    • Language evolution can be precisely modeled using Darwinian principles.
    • Computational experiments provide insights into the systemic properties of linguistic replicators.
    • The study highlights the interplay of adaptation, constraints, and selection in language change.