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Article dans une revue Case Studies in Business, Industry and Government Statistics Année : 2014

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.
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Dates et versions

hal-02629776, version 1 (27-05-2020)
hal-02629776, version 2 (02-02-2014)

Identifiants

  • HAL Id : hal-02629776 , version 2
  • PRODINRA : 468226

Citer

Nathalie Villa-Vialaneix, Christophe Sibertin-Blanc, Pascal Roggero. Statistical exploratory analysis of agent-based simulations in a social context. Case Studies in Business, Industry and Government Statistics, 2014, 5 (2), pp.132-149. ⟨hal-02629776v2⟩
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