Data Analysis of Social Simulations Outputs - Focus on variables dispersion

Christophe Sibertin-Blanc (1) , Nathalie Vialaneix (2)

1 IRIT-SMAC - Systèmes Multi-Agents Coopératifs
2 SAMM - Statistique, Analyse et Modélisation Multidisciplinaire (SAmos-Marin Mersenne)

In the domain of social simulation, there are very few papers reporting on the statistical analysis of simulation results, while it is very common in empirical social sciences. The paper advocates the expansion of the statistical analysis of social simulation outputs, as a very efficient way to improve the interpretation of simulation results and so the understanding of the system that is the model's target. This is illustrated by the study of a simulation 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 shed light on the possible outcomes of the discussion between the actors.

Mots clés: agent-based modeling; social simulation; statistical analysis

Domaines: Modélisation et simulation; Applications [stat.AP]

Christophe Sibertin-Blanc, Nathalie Vialaneix. Data Analysis of Social Simulations Outputs - Focus on variables dispersion. Workshop on Multi-Agent-Based Simulation, May 2014, Paris, France. Paper session 3, paper 2. ⟨hal-00990219⟩