Simulation for the Social Scientist
Simulation for the Social Scientist
Agent-based modelling and simulation for the analysis of social patterns
Pattern Recognition Letters
Visual modeling for complex agent-based simulation systems
MABS'05 Proceedings of the 6th international conference on Multi-Agent-Based Simulation
From KISS to KIDS: an 'anti-simplistic' modelling approach
MABS'04 Proceedings of the 2004 international conference on Multi-Agent and Multi-Agent-Based Simulation
Agent-based simulation replication: a model driven architecture approach
MICAI'05 Proceedings of the 4th Mexican international conference on Advances in Artificial Intelligence
Computational & Mathematical Organization Theory
Mentat: a data-driven agent-based simulation of social values evolution
MABS'09 Proceedings of the 10th international conference on Multi-agent-based simulation
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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.