Modelado basado en agentes: Una herramienta para complementar el análisis de fenómenos sociales

Ariel Quezada, Enrique Canesa

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

7 Citas (Scopus)

Resumen

This paper shows the usefulness of Agent-based Modeling (AbM) for studying social phenomena. This tool saves time and resources, allowing us to analyze many variables and then select the most significant ones for proceeding with the study. This process is illustrated through a model which analyzes the time needed to treat sick people according to whether the treatment might be given in situ or at a hospital, whether health personnel might share or not information regarding patients' location and, if the density of geographical distribution of sick people is high or low. The results reveal that exchanging information significantly shortens the time only for hospital treatments and that density does not have an impact. We conclude that AbM has great advantages for the design of social research and helps in the decision making process of practitioners.

Título traducido de la contribuciónAgent-based modeling: A tool for complementing the analysis of social phenomena
Idioma originalEspañol
Páginas (desde-hasta)226-238
Número de páginas13
PublicaciónAvances en Psicologia Latinoamericana
Volumen28
N.º2
EstadoPublicada - dic. 2010

Palabras clave

  • Agent-based modeling
  • Computer simulation
  • Netlogo
  • Working teams

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