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Possibility for Simulation Modeling of Corporate Systems
Bagrin Pavel Petrovich

post-graduate student of the Department of Corporate Management at State University of Management

109542, Russia, Moscow, str. Ryazanskii Prospekt, 99

79258503554@yandex.ru

Abstract.

The object of the present research is the corporate systems. The subject of the present research is the simulation modeling of the corporate systems. The author analyzes various kinds of simulation modeling such as discrete even simulation, system dynamics and agent-based modeling. The author focuses on the agent-based modeling and makes a hypothesis about this type of modeling being suitable for the corporate systems. In his article Bagrin gives the list of conditions under which the agent-based modeling should be applied. The author also describes peculiarities of the corporate systems and participants of corporate relations and compares them to the conditions of application of agent-based models. In order to find the type of modeling that would be suitable for corporate systems, the author has used analysis and deduction as the research methods. By using the analysis method, the author views participants of corporate relations as part of the corporate system. By using the induction method, the author concludes that the agent-based modeling is suitable for the corporate system because it suits elements of the system. As a result of the research, the following conclusions have been made: corporate systems could and should be modeled. However, at this point it is impossible to build the analytical model so simulation models should be used instead. Out of existing simulation models the agent-based models allow to take into account all significant features of corporate systems. Teh scientific novelty of the research is based on the fact that the author proves the suitability of agent-based models for corporate systems. The results of the present research can be used in further researches of the agent-based models of corporate systems. 

Keywords: Corporate system, options, simulation, Agent-based modeling, agent, model, behavior, analytical model, vector behavior, resources

DOI:

10.7256/2409-8647.2016.1.17763

Article was received:

29-01-2016


Review date:

31-01-2016


Publish date:

23-05-2016


This article written in Russian. You can find full text of article in Russian here .

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