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Matematicheskaya Biologiya i Bioinformatika, 2012, Volume 7, Issue 2, Pages 425–443 (Mi mbb114)  

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)
References:
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
Document Type: Article
UDC: 004.94:519.7
Language: Russian
Citation: Konstantin K. Avilov, Oleg Yu. Solovey, “Agent-Based Models: Approaches and Applicability to Epidemiology”, Mat. Biolog. Bioinform., 7:2 (2012), 425–443
Citation in format AMSBIB
\Bibitem{AviSol12}
\by Konstantin~K.~Avilov, Oleg~Yu.~Solovey
\paper Agent-Based Models: Approaches and Applicability to Epidemiology
\jour Mat. Biolog. Bioinform.
\yr 2012
\vol 7
\issue 2
\pages 425--443
\mathnet{http://mi.mathnet.ru/mbb114}
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  • https://www.mathnet.ru/eng/mbb114
  • https://www.mathnet.ru/eng/mbb/v7/i2/p425
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    References:49
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