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Título:
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Agent based simulation framework for quantitative and qualitative social research: Statistics and natural language generation
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Autores:
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Arroyo Menéndez, Millán ;
Hassan, Samer ;
León, Carlos ;
Pavón Mestras, Juan
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Tipo de documento:
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texto impreso
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Editorial:
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Proceedings of the ESSA 2007: Fourth Conference of the European Social Simulation Association, 2007
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Dimensiones:
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application/pdf
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Nota general:
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info:eu-repo/semantics/openAccess
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Idiomas:
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Palabras clave:
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Estado = Publicado
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Materia = Ciencias Sociales: Sociología
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Materia = Ciencias Sociales: Sociología: Cambio social
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Materia = Ciencias Sociales: Sociología: Estadísticas e indicadores sociales
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Materia = Ciencias Sociales: Sociología: Investigación social
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Tipo = Artículo
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Resumen:
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Even though Agent Based Social Simulation is beginning to be spread out as a powerful quantitative method for sociologists, it is still far from attracting qualitative ones. We propose to broaden ABSS horizons with a system that returns outputs useful for both paradigms. The case used as example is the study of the evolution of religiosity in the Spanish post-modern society. From a “macro” perspective, it analyses social trends, using quantitative data from the European Values Survey and giving evolution statistics. From the “micro” one, it can generate a narrative personal story of a representative agent, much closer to the Interpretativism tools. Several methods for choosing the most representative agent are commented.
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En línea:
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https://eprints.ucm.es/36427/1/Agent%20Based%20Simulation%20Framework%20for%20Quantitative.pdf
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