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Matematicheskaya Biologiya i Bioinformatika, 2012, Volume 7, Issue 2, Pages 425–443
(Mi mbb114)
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Mathematical Modeling
Agent-Based Models: Approaches and Applicability to Epidemiology
Konstantin K. Avilova, Oleg Yu. Soloveyb a Institute of numerical mathematics of Russian Academy of Sciences
b Moscow Institute of Physics and Technology (State University)
Abstract:
The capabilities of a number of agent-based modelling frameworks (SWARM, RePast-J, NetLogo, etc) were studied. The model-building process and models’ performance were studied in NetLogo framework. Due to the insufficient performance of NetLogo we experimented with implementation of agent-based models in Oracle relational database. The Oracle-based models had higher performance than the NetLogo-based ones only when NetLogo had no optimization for the given model type. The test epidemiological model in Oracle had higher performance by a factor of $10^{0.5}$–$10^3$ depending on the population structure. The Oracle-based approach was tested in applied epidemiological modelling.
Key words:
agent-based modelling, mathematical epidemiology, software development tools, RDBMS, NetLogo, Oracle.
Received 07.06.2012, Published 30.07.2012
Citation:
Konstantin K. Avilov, Oleg Yu. Solovey, “Agent-Based Models: Approaches and Applicability to Epidemiology”, Mat. Biolog. Bioinform., 7:2 (2012), 425–443
Linking options:
https://www.mathnet.ru/eng/mbb114 https://www.mathnet.ru/eng/mbb/v7/i2/p425
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Abstract page: | 767 | Full-text PDF : | 231 | References: | 49 | First page: | 1 |
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