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Agent based simulation framework for quantitative and qualitative social research: Statistics and natural language generation

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Publication Date
2007
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Arroyo Menéndez, Millán
León, Carlos
Pavón Mestras, Juan
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Proceedings of the ESSA 2007: Fourth Conference of the European Social Simulation Association
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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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ESSA’07: Fourth Conference of the European Social Simulation Association. September 10-14, 2007, Toulouse, France
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