Human activity simulation: A study on multi-level realism

Human activity simulation: A study on multi-level realism

Quentin Reynaud Nicolas Sabouret Yvon Haradji François Sempé  

QRCI - 63000 Clermont-Ferrand, France

LIMSI, CNRS, Univ. Paris-Sud, Université Paris-Saclay Bât 508, Campus Universitaire, 91405 Orsay, France

EDF R&D, EDF Lab Paris-Saclay 7 Boulevard Gaspard Monge, 91120 Palaiseau, France

François Sempé AE, Paris, France

Corresponding Author Email:;;;
30 April 2018
| Citation

In this paper, we present a methodology of human activity simulation, based both on a Multi-Agent System (MAS) and statistical data. We show that the notion of simulation realism (i.e. the proximity with behaviors observed in the field) can be studied at various levels. Traditionally, these levels are never considered simultaneously in a single architecture, hence we propose a methodology allowing the combination of multi-agent simulation (aiming at a “microscopic” realism) and statistical data (aiming at a “macroscopic” realism). We present our architecture within the use of the last “time use survey”. We study the simulation’s realism within both local and aggregated context.


multi-agent based simulation of human activity, multi-level realism

1. Introduction
2. Niveaux de simulation et de réalisme : 2 axes dans l’étude de la simulation de l’activité humaine
3. État de l’art sur le réalisme des simulations de l’activité humaine
4. SMACH : un modèle multi-agent de l’activité humaine
5. La génération d’emplois du temps
6. Rythme hebdomadaire et variabilité de l’activité
7. Expérimentations
8. Discussion
9. Conclusion

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