Navarro L., Corruble V., Flacher F., Zucker Jean-Daniel. (2013). A flexible approach to multi-level agent-based simulation with the mesoscopic representation. In :
Ito T. (ed.), Jonker C. (ed.), Gini M. (ed.), Shehory O. (ed.). Proceedings of the 12th International Conference on Autonomous Agents and Multiagent Systems. New York : ACM ; IFAAMAS, p. 159-166. AAMAS'13.International Conference on Autonomous Agents and Multiagent Systems, 12., Saint-Paul, Minnesota (USA), 2013/05/06-10. ISBN 978-1-4503-1993-5.
Titre du document
A flexible approach to multi-level agent-based simulation with the mesoscopic representation
Année de publication
2013
Type de document
Partie d'ouvrage
Auteurs
Navarro L., Corruble V., Flacher F., Zucker Jean-Daniel
In
Ito T. (ed.), Jonker C. (ed.), Gini M. (ed.), Shehory O. (ed.), Proceedings of the 12th International Conference on Autonomous Agents and Multiagent Systems
Source
New York : ACM ; IFAAMAS, 2013,
p. 159-166 ISBN 978-1-4503-1993-5
Colloque
AAMAS'13.International Conference on Autonomous Agents and Multiagent Systems, 12., Saint-Paul, Minnesota (USA), 2013/05/06-10
Large-scale simulations often use multiple agent representations to permit the study of specific multi-agent phenomena, and to find a balance between run-time performance and level of detail of the simulation. Although these approaches are effective, they do not always offer the desired level of analysis, especially when this level is between the resolutions of the models available. In this paper, we aim at offering a finer method in exploring this tradeoff by introducing an intermediate level between two given resolutions, which can apply to all agent models and allows a more progressive transition to offer the desired level of analysis. We introduce a framework for such a methodology and evaluate it through the extension of an existing approach, along two criteria: its impact on computational resources, and an estimate of the dissimilarity between a simulation using our methodology and one without. Initial experiments show that consistency is almost maintained while CPU gain varies from low to significant depending on the context.
Plan de classement
Informatique [122]
Localisation
Fonds IRD [F B010079286]
Identifiant IRD
fdi:010079286
