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.
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: | 30 Aug 2023 13:18 |
URI: | https://publications.ut-capitole.fr/id/eprint/30085 |