Application of Supercomputer Technologies for Simulation of Socio-Economic Systems

Abstract

Agent-based models (ABMs) that have been actively developing recently are the most appropriate tool to simulate the behavior of complex socio-economic systems, as well as to evaluate multi-level quality management systems [1]. The basic idea behind the models of this class is to build a computing tool which is a combination of agents with a particular set of properties and which allows for the simulation of real phenomena. ABM differs from object-based models by the "activity" of its elements each having not only a given set of personal characteristics ("resources"), but also a target function ("interest") based on which its reaction to changes in the environment affecting areas of its interest (the "behavior") is simulated. The emergence of ABMs can be seen as the result of evolution in modeling methodology: the transition from mono-models (one model -one algorithm) to multi-models (one model -a set of independent algorithms). Thus, an ABM is an artificial society of autonomous interacting agents that can simulate a system as close to reality as possible. Agent-based approach to modeling is universal and easy to use for applied scientists due to its visual impact, but at the same time it imposes certain requirements on computing resources. It is obvious that direct modeling of lengthy social processes at national (or global) level generally requires considerable computational power.In their turn, supercomputers allow for severalfold increase in the number of agents and other quantitative parameters (network nodes, territory size) in models originally developed for use on conventional desktop computers. Therefore, supercomputer simulation is a logical and desirable step for the simple models which have already been successfully tested on conventional computers. However, the specific architecture of modern computers does not guarantee that the computer model software will immediately work on a supercomputer. The computing core parallelisation and often its 1

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