Universidad Complutense de Madrid
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Deepening the Demographic Mechanisms in a Data-Driven Social Simulation of Moral Values Evolution

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Antunes, Luis y Arroyo Menéndez, Millán y Hassan, Samer (2009) Deepening the Demographic Mechanisms in a Data-Driven Social Simulation of Moral Values Evolution. In Multi-Agent-Based Simulation IX. International Workshop, {MABS} 2008, Estoril, Portugal, May 12-13, 2008, Revised Selected Papers. Lecture Notes in Computer Science (5269). Springer, Estoril, Portugal, pp. 167-182. ISBN 978-3-642-01991-3

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URL Oficial: http://dx.doi.org/10.1007/978-3-642-01991-3



Resumen

The “Keep It Simple, Stupid” principle is a recommended rule for modelling complex phenomena. However, there must be a compromise between simplification and expressiveness, determined by the results produced by the model. Here we propose to gradually increase the complexity of a model, so we can improve its behaviour. This incremental “deepening” process is an attempt to approach the real phenomena, so resulting in a better model, provided that an accurate analysis reveals the right steps. As application we propose an agent-based data-driven model of the evolution of moral values in the Spanish post-modern society.
We focus on improving the demographic mechanisms so that the system output follows the evolution of Spanish population. In order to do that, we raise the amount of quantitative input information of the system, improve its statistical distributions, and change the time of evolution, together with other commented changes.


Tipo de documento:Sección de libro
Palabras clave:Agent-based modelling, Agent-based social simulation, Complexity, Demography, Values
Materias:Ciencias Sociales > Sociología
Ciencias Sociales > Sociología > Cambio social
Ciencias Sociales > Sociología > Estadísticas e indicadores sociales
Ciencias Sociales > Sociología > Teorías sociológicas
Ciencias Sociales > Sociología > Trabajo social
Ciencias Sociales > Sociología > Investigación social
Código ID:36229
Depositado:21 Abr 2016 08:02
Última Modificación:21 Abr 2016 08:02

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