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Children master language quickly and with relative ease, supported by both biological predisposition and reinforcement. B. F. Skinner (1957) proposed that language is learned through reinforcement, while Noam Chomsky (1965) argued that language acquisition mechanisms are biologically determined.
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Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
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Updated: Apr 26, 2026

Experience is Instrumental in Tuning a Link Between Language and Cognition: Evidence from 6- to 7- Month-Old Infants' Object Categorization
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Iterated learning and the evolution of language.

Simon Kirby1, Tom Griffiths2, Kenny Smith1

  • 1University of Edinburgh, Edinburgh, Scotland, United Kingdom.

Current Opinion in Neurobiology
|July 26, 2014
PubMed
Summary
This summary is machine-generated.

Iterated learning shapes behavior through sequential transmission, offering insights into cultural evolution. This framework explains language structure origins by integrating cultural and biological evolution.

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Area of Science:

  • Cognitive Science
  • Evolutionary Biology
  • Computational Modeling

Background:

  • Iterated learning is a key mechanism for cultural evolution, where behavior is learned through observation of others.
  • Understanding how behavior is shaped by this process is crucial for explaining the origins of complex traits.
  • Previous research has explored various facets of iterated learning in different contexts.

Purpose of the Study:

  • To review methods for understanding behavior shaped by iterated learning.
  • To demonstrate the application of the iterated learning framework to explain language structure origins.
  • To advocate for the integration of cultural evolution with biological evolution in language origin theories.

Main Methods:

  • Computational agent-based simulations to model behavior transmission.
  • Mathematical modeling to analyze learning dynamics.
  • Laboratory experiments with humans and non-human animals to observe learning processes.

Main Results:

  • The iterated learning framework provides a robust method for analyzing cultural transmission.
  • This framework has successfully explained the emergence of structure in human language.
  • Evidence suggests iterated learning plays a significant role in shaping learned behaviors across generations.

Conclusions:

  • Iterated learning is a powerful framework for studying cultural evolution and behavior.
  • Considering cultural evolution alongside biological evolution is essential for a comprehensive understanding of language origins.
  • Future research should continue to explore the interplay between iterated learning and evolutionary processes.