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Related Concept Videos

Language and Cognition01:27

Language and Cognition

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.
Language Development01:22

Language Development

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Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least squares (OLS)...
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Related Experiment Video

Updated: Jun 21, 2026

The (Spatial) Memory Game: Testing the Relationship Between Spatial Language, Object Knowledge, and Spatial Cognition
05:15

The (Spatial) Memory Game: Testing the Relationship Between Spatial Language, Object Knowledge, and Spatial Cognition

Published on: February 19, 2018

Agent-based computer simulations of language choice dynamics.

Tarik Hadzibeganovic1, Dietrich Stauffer, Christian Schulze

  • 1Càtedra el cervell social, Cognitive Neuroscience Research Unit, Department of Psychiatry and Forensic Medicine, Hospital del Mar, Universitat Autònoma de Barcelona, Barcelona, Spain. ta.hadzibeganovic@uni-graz.at

Annals of the New York Academy of Sciences
|July 8, 2009
PubMed
Summary
This summary is machine-generated.

This study models language choice in divided communities, showing how local interactions create stable, antagonistic groups. Findings reveal unique opinion dynamics influenced by noise, boundaries, and migration.

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Area of Science:

  • Computational Social Science
  • Sociolinguistics
  • Complex Systems

Background:

  • Understanding language choice dynamics is crucial for social cohesion.
  • Politically divided communities, even if linguistically homogeneous, face unique challenges.
  • Agent-based models offer insights into emergent social phenomena.

Purpose of the Study:

  • To investigate language choice dynamics in a tripartite, politically divided community.
  • To model how local agent interactions lead to macro-level group formation.
  • To explore the impact of asymmetric noise, unstable boundaries, and migration on opinion formation.

Main Methods:

  • Agent-based Monte Carlo simulations were employed.
  • Computational agents interacted based on local attraction and influence.
  • Stochastic dynamic models were utilized to simulate population behavior.

Main Results:

  • Nonlocal pattern formation was observed, leading to self-organization.
  • Stable, antagonistic groups emerged from local interaction dynamics.
  • Asymmetric noise, boundary instability, and migration significantly affected opinion formation.

Conclusions:

  • Local dynamics can drive the formation of stable, divided social groups.
  • The model highlights unique aspects of opinion formation under specific social conditions.
  • The stochastic dynamic models are generalizable to other complex human collective behaviors.