RT Journal Article
T1 Agent based simulation framework for quantitative and qualitative social research: Statistics and natural language generation
A1 Arroyo Menéndez, Millan
A1 Hassan Collado, Samer
A1 León, Carlos
A1 Pavón Mestras, Juan Luis
AB 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.
PB Proceedings of the ESSA 2007: Fourth Conference of the European Social Simulation Association
SN 978-2-9520326-7-4
YR 2007
FD 2007
LK https://hdl.handle.net/20.500.14352/51825
UL https://hdl.handle.net/20.500.14352/51825
LA spa
NO ESSA’07: Fourth Conference of the European Social Simulation Association. September 10-14, 2007, Toulouse, France
NO Dirección General de Universidades e Investigación de la Consejería de Educación de la Comunidad de Madrid (Spain)
NO Universidad Complutense de Madrid
NO Spanish Council for Science and Technology
DS Docta Complutense
RD 29 abr 2025