RT Journal Article
SR 00
A1 Villa-Vialaneix, Nathalie
A1 Sibertin-Blanc, Christophe
A1 Roggero, Pascal
T1 Statistical exploratory analysis of agent-based simulations   in a social context
JF Case Studies in Business, Industry and Government Statistics
YR 2014
FD 2014
VO vol.5
IS n°2
SP 132
OP 149
K1 Agent-based Modeling
K1 Self-organization maps
K1 Typology
K1 Social Simulation
K1 Organizational Behavior
K1 SocLab
AB 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.
PB Bentley University
SN 2152-372X
LK https://publications.ut-capitole.fr/id/eprint/20257/