A standard form of citation of this article is:
Beltran, Francesc S., Herrando, Salvador, Ferreres, Doris, Adell, Marc-Antoni, Estreder, Violant and Ruiz-Soler, Marcos (2009). 'Forecasting a Language Shift Based on Cellular Automata'. Journal of Artificial Societies and Social Simulation 12(3)5 <https://www.jasss.org/12/3/5.html>.
The following can be copied and pasted into a Bibtex bibliography file, for use with the LaTeX text processor:
@article{beltran2009,
title = {Forecasting a Language Shift Based on Cellular Automata},
author = {Beltran, Francesc S. and Herrando, Salvador and Ferreres, Doris and Adell, Marc-Antoni and Estreder, Violant and Ruiz-Soler, Marcos},
journal = {Journal of Artificial Societies and Social Simulation},
ISSN = {1460-7425},
volume = {12},
number = {3},
pages = {5},
year = {2009},
URL = {https://www.jasss.org/12/3/5.html},
keywords = {Cellular Automata, Computational Simulations, Language, Social Dynamics},
abstract = {Language extinction as a consequence of language shifts is a widespread social phenomenon that affects several million people all over the world today. An important task for social sciences research should therefore be to gain an understanding of language shifts, especially as a way of forecasting the extinction or survival of threatened languages, i.e., determining whether or not the subordinate language will survive in communities with a dominant and a subordinate language. In general, modeling is usually a very difficult task in the social sciences, particularly when it comes to forecasting the values of variables. However, the cellular automata theory can help us overcome this traditional difficulty. The purpose of this article is to investigate language shifts in the speech behavior of individuals using the methodology of the cellular automata theory. The findings on the dynamics of social impacts in the field of social psychology and the empirical data from language surveys on the use of Catalan in Valencia allowed us to define a cellular automaton and carry out a set of simulations using that automaton. The simulation results highlighted the key factors in the progression or reversal of a language shift and the use of these factors allowed us to forecast the future of a threatened language in a bilingual community.},
}The following can be copied and pasted into a text file, which can then be imported into a reference database that supports imports using the RIS format, such as Reference Manager and EndNote.
TY - JOUR
TI - Forecasting a Language Shift Based on Cellular Automata
AU - Beltran, Francesc S.
AU - Herrando, Salvador
AU - Ferreres, Doris
AU - Adell, Marc-Antoni
AU - Estreder, Violant
AU - Ruiz-Soler, Marcos
Y1 - 2009/06/30
JO - Journal of Artificial Societies and Social Simulation
SN - 1460-7425
VL - 12
IS - 3
SP - 5
UR - https://www.jasss.org/12/3/5.html
KW - Cellular Automata
KW - Computational Simulations
KW - Language
KW - Social Dynamics
N2 - Language extinction as a consequence of language shifts is a widespread social phenomenon that affects several million people all over the world today. An important task for social sciences research should therefore be to gain an understanding of language shifts, especially as a way of forecasting the extinction or survival of threatened languages, i.e., determining whether or not the subordinate language will survive in communities with a dominant and a subordinate language. In general, modeling is usually a very difficult task in the social sciences, particularly when it comes to forecasting the values of variables. However, the cellular automata theory can help us overcome this traditional difficulty. The purpose of this article is to investigate language shifts in the speech behavior of individuals using the methodology of the cellular automata theory. The findings on the dynamics of social impacts in the field of social psychology and the empirical data from language surveys on the use of Catalan in Valencia allowed us to define a cellular automaton and carry out a set of simulations using that automaton. The simulation results highlighted the key factors in the progression or reversal of a language shift and the use of these factors allowed us to forecast the future of a threatened language in a bilingual community.
ER -