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Parallel simulation of large population dynamics

Autor: Montañola-Sales, C.; Casanovas, J.; Cela, J.; Kaplan, A.

Tipus d'activitat: Presentació treball a congrés
Nom de l'edició: Winter Simulation Conference 2013
Any de l'edició: 2013
Data de presentació: 2013-12-08
Llibre d'actes: Proceedings of the 2013 Winter Simulation Conference
Pàgina inicial: 1
Pàgina final: 1

Repositori: http://hdl.handle.net/2117/105722
URL: http://informs-sim.org/wsc13papers/by_area.html
Resum: Agent-based modeling and simulation is a promising methodology that can be used in the study of population dynamics. We present the design and development of a simulation tool which provides basic support for modeling and simulating agent-based demographic systems. Our results prove that agent-based modeling can work effectively in the study of demographic scenarios which can help to better policy planning and analysis. Moreover, parallel environment looks suitable for the study of large-scale i...

Agent-based modeling and simulation is a promising methodology that can be used in the study of population dynamics. We present the design and development of a simulation tool which provides basic support for modeling and simulating agent-based demographic systems. Our results prove that agent-based modeling can work effectively in the study of demographic scenarios which can help to better policy planning and analysis. Moreover, parallel environment looks suitable for the study of large-scale individual-based simulations of this kind.
Citació: Montañola-Sales, C., Casanovas, J., Cela, J., Kaplan, A. Parallel simulation of large population dynamics. A: Winter Simulation Conference. "Proceedings of the 2013 Winter Simulation Conference". Washington: 2013, p. 1.

Grup de recerca: CAP - Grup de Computació d'Altes Prestacions
IMP - Information Modeling and Processing

Participants

Montañola Sales, Cristina (autor ponent)
Casanovas Garcia, Jose (autor ponent)
Cela Espin, Jose M. (autor ponent)
Kaplan Marcusan, Adriana (autor ponent)

Arxius

posterWSC-v4.pdf (183485 bytes)