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JOURNALS // Matematicheskaya Biologiya i Bioinformatika // Archive

Mat. Biolog. Bioinform., 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)

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.

UDC: 004.94:519.7

Received 07.06.2012, Published 30.07.2012



© Steklov Math. Inst. of RAS, 2024