Agent-based Computer Simulations of Language Choice Dynamics
We use agent‐based Monte Carlo simulations to address the problem of language choice dynamics in a tripartite community that is linguistically homogeneous but politically divided. We observe the process of nonlocal pattern formation that causes populations to self‐organize into stable antagonistic g...
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Published in | Annals of the New York Academy of Sciences Vol. 1167; no. 1; pp. 221 - 229 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Malden, USA
Blackwell Publishing Inc
01.06.2009
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Subjects | |
Online Access | Get full text |
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Summary: | We use agent‐based Monte Carlo simulations to address the problem of language choice dynamics in a tripartite community that is linguistically homogeneous but politically divided. We observe the process of nonlocal pattern formation that causes populations to self‐organize into stable antagonistic groups as a result of the local dynamics of attraction and influence between individual computational agents. Our findings uncover some of the unique properties of opinion formation in social groups when the process is affected by asymmetric noise distribution, unstable intergroup boundaries, and different migratory behaviors. Although we focus on one particular study, the proposed stochastic dynamic models can be easily generalized and applied to investigate the evolution of other complex and nonlinear features of human collective behavior. |
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Bibliography: | istex:A11646AD0066C8BE4CB53BDBE21C6BD0DC535C69 ark:/67375/WNG-BXR7M605-S ArticleID:NYAS4507 ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 ObjectType-Article-1 ObjectType-Feature-2 |
ISSN: | 0077-8923 1749-6632 |
DOI: | 10.1111/j.1749-6632.2009.04507.x |