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Related Experiment Videos

Iterated learning: a framework for the emergence of language.

Kenny Smith1, Simon Kirby, Henry Brighton

  • 1Language Evolution and Computation Research Unit, Theoretical and Applied Linguistics, School of Philosophy, Psychology and Language Sciences, University of Edinburgh, United Kingdom. kenny@ling.ed.ac.uk

Artificial Life
|February 6, 2004
PubMed
Summary

Language structure emerges through iterated learning, where one person's learning becomes another's input. This process demonstrates how compositionality adapts to limited language input, addressing the poverty of the stimulus.

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Area of Science:

  • Cognitive Science
  • Linguistics
  • Evolutionary Biology

Background:

  • Language is transmitted culturally across generations.
  • Iterated learning models simulate cultural transmission.
  • Understanding linguistic structure evolution is key.

Purpose of the Study:

  • Investigate the cultural evolution of linguistic structure.
  • Model how limited language input shapes language.
  • Explain the emergence of compositionality.

Main Methods:

  • Developed two computational models based on iterated learning.
  • Simulated the process of language learning across multiple individuals.
  • Analyzed the emergent linguistic structures.

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Main Results:

  • Poverty of the stimulus drives the emergence of linguistic structure.
  • Compositionality arises as an adaptation to limited input.
  • Iterated learning framework successfully models linguistic evolution.

Conclusions:

  • Linguistic structure is a product of cultural evolution via iterated learning.
  • Compositionality serves as a crucial adaptation to stimulus poverty.
  • The model provides a framework for studying language change.