Agent-based simulation of large population dynamics

Autor: Montañola Sales, Cristina, Casanovas Garcia, Josep, Cela Espín, José M., Onggo, B.S.S., Kaplan Marcusan, Adriana
Přispěvatelé: Facultat d'Informàtica de Barcelona, Universitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa, Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors, Universitat Politècnica de Catalunya. LIAM - Laboratori de Modelització i Anàlisi de la Informació, Universitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions
Jazyk: angličtina
Rok vydání: 2013
Předmět:
Zdroj: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
Universitat Jaume I
Popis: Agent-based modelling and simulation is a promising methodology that can be used in the study of population dynamics. One of the main obstacles hindering the use of agent-based simulation in practice is its scalability, especially if the analysis requires large-scale models. A possible solution is to run the agent-based models on top of a scalable parallel discrete-event simulation engine. In this paper we present a modelling and simulation platform implemented to provide a basic support for M&S of agent-based demographic systems. As a simulation application, we conducted a study to evaluate its performance in a parallel environment: a supercomputer. A user interface was also designed to allow modellers to easily define models to describe different demographic processes and transparently run them on any computer architecture environment. Our results prove that agent-based modelling can work effectively in the study of demographic scenarios which can help to better family policy planning and analysis. Moreover, parallel environment looks suitable for the study of large-based individual-based simulations of this kind.
Databáze: OpenAIRE