Evaluation and calibration of agents behavior for immersive simulations

Evaluation and calibration of agents behavior for immersive simulations

Kévin Darty Julien Saunier Nicolas Sabouret

LIMSI-CNRS, UPR 3251, Univ. Paris-Sud, Orsay, France

LITIS, INSA de Rouen, France

LIMSI-CNRS, UPR 3251, Univ. Paris-Sud, Orsay, France

Corresponding Author Email: 
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In the context of agent-based simulation, a major issue is to define relevant parameters of the agent model and calibrate them. This issue is yet harder in immersive virtual environments, where intelligent agents reproduce human behaviour and interact with users. We propose to log and analyse agents behaviour to evaluate their similarity to humans behaviour in an immersive virtual environment. The behaviour archetypes obtained by clustering are studied in order to identify agent lacks, capacities and errors. This study enables to 1) dismiss invalid parameter sets, 2) calibrate valid simulations and 3) explain lacks in the agent models.


multi-agent simulation, evaluation, parameters calibration, clustering.

1. Introduction
2. Travaux connexes
3. Méthode d’évaluation des comportements d’agents
4. Cycle d’amélioration
5. Évaluation
6. Conclusion et perspectives

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