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Related Concept Videos

Language Development01:22

Language Development

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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Cognitive development continues throughout adulthood, undergoing significant shifts across early, middle, and late stages. Individual transition occurs from adolescent idealism to pragmatic and adaptable thinking in early adulthood. During this period, individuals learn to integrate personal beliefs with the recognition that other perspectives are equally valid. Exposure to the complexities of modern society, diverse experiences, and higher education contribute to this adaptive thought process,...
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Language is a system of communication that allows the expression of thoughts, ideas, and feelings. The brain processes language in both hemispheres.
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An Experimental Paradigm for Measuring the Effects of Ageing on Sentence Processing
04:30

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Published on: October 25, 2019

Aging in language dynamics.

Animesh Mukherjee1, Francesca Tria, Andrea Baronchelli

  • 1Institute for Scientific Interchange (ISI), Torino, Italy.

Plos One
|March 11, 2011
PubMed
Summary
This summary is machine-generated.

Human languages evolve slowly, with deep structures appearing stable yet changing. This study reveals language conventions emerge as metastable states, not fixed attractors, in a process analogous to glassy systems.

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Area of Science:

  • Linguistics
  • Complex Systems
  • Statistical Mechanics

Background:

  • Human languages exhibit continuous evolution, posing a challenge to understanding the stability of deep linguistic structures.
  • Theories debate whether language states are statistically stationary attractors or non-steady, time-evolving systems.

Observation:

  • This research models the emergence of shared linguistic categories using language games among interacting individuals.
  • The study observed an asymptotic categorization that aligns with experimental data from human languages.

Findings:

  • Emerging linguistic categorization represents a metastable state, not a dynamical attractor.
  • Global linguistic shifts remain possible but become increasingly improbable over time.
  • The system's response properties are influenced by its 'age,' a phenomenon mirrored in glassy systems.

Implications:

  • Shared linguistic conventions may be better understood as metastable states rather than stable attractors.
  • This framework offers a novel perspective on language dynamics and the evolution of linguistic conventions.
  • The findings suggest a generalizable model for convention emergence in complex adaptive systems.