Statistical exploratory analysis of agent-based simulations in a social context

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

[img]
Preview
Text
Download (6MB) | Preview

Abstract

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 the South West of France. Several standard statistical methods are used to analyze the possible outcomes of the discussion between the actors. Finally, a typology of these outcomes is obtained with a self - organizing map. The presentation is accessible to readers with an intermediate level of statistics.

Item Type: Article
Language: English
Date: 2014
Refereed: Yes
Uncontrolled Keywords: Agent-based modeling - Self-organizing maps - Typology - Social simulation - Organizational behavior - SocLab
Subjects: H- INFORMATIQUE
Divisions: Institut de Recherche en Informatique de Toulouse
Site: UT1
Date Deposited: 08 Apr 2019 14:33
Last Modified: 08 Apr 2019 14:33
URI: http://publications.ut-capitole.fr/id/eprint/30085

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year