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2015 | OriginalPaper | Buchkapitel

Data Analysis of Social Simulations Outputs - Interpreting the Dispersion of Variables

verfasst von : Christophe Sibertin-Blanc, Nathalie Villa-Vialaneix

Erschienen in: Multi-Agent-Based Simulation XV

Verlag: Springer International Publishing

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Abstract

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 recourse to 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 case regarding 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 debate between the stakeholders.

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Fußnoten
2
SocLab allows resources to be controlled by several actors but, from the social point of view, each one is the unique performer of his own behavior.
 
3
Literally “Syndicat Intercommunal d’Aménagement Hydraulique” of the Touch river. It is entrusted by the State with the maintenance of the river for the sake of the riparian proprietors, which own the bank and the bed of the river. See http://​www.​siah-du-touch.​org for more details.
 
5
The cleverness of actors in the SocLab model is not in question since each of them applies the same learning algorithm to select the state of the resource it controls. The difference in capability of actors results from their constraints to obtain a good level of satisfaction.
 
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Metadaten
Titel
Data Analysis of Social Simulations Outputs - Interpreting the Dispersion of Variables
verfasst von
Christophe Sibertin-Blanc
Nathalie Villa-Vialaneix
Copyright-Jahr
2015
DOI
https://doi.org/10.1007/978-3-319-14627-0_10