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

Impacto

Downloads

Downloads per month over past year



Arroyo Menéndez, Millán and Hassan, Samer and León, Carlos and Pavón Mestras, Juan (2007) Agent based simulation framework for quantitative and qualitative social research: Statistics and natural language generation. ESSA, 7 . pp. 697-707. ISSN 978-2-9520326-7-4

[thumbnail of Agent Based Simulation Framework for Quantitative.pdf]
Preview
PDF
440kB

Official URL: http://essa2007.free.fr/



Abstract

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.


Item Type:Article
Additional Information:

ESSA’07: Fourth Conference of the European Social Simulation Association. September 10-14, 2007, Toulouse, France

Uncontrolled Keywords:Abss, Mas, Natural language generation, Qualitative, Quantitative, Social research, Social simulation
Subjects:Social sciences > Sociology
Social sciences > Sociology > Social change
Social sciences > Sociology > Statistics and social indicators
Social sciences > Sociology > Social research
ID Code:36427
Deposited On:31 Mar 2016 08:39
Last Modified:19 Mar 2020 12:37

Origin of downloads

Repository Staff Only: item control page