Statistical exploratory analysis of agent-based simulations in a social context
Résumé
This paper presents a case study for motivating the use of data mining in a social agent-based simulation framework. The data used in this article come from the social simulation platform SocLab. They were generated from a model designed to analyze a real situation related to the management of a river in South West of France. Several standard statistics methods are used to analyze the possible outcomes of the discussion between the actors. Finally, a typology of these outcomes is obtained with self-organizing map.
Origine | Fichiers produits par l'(les) auteur(s) |
---|
Loading...