Izvestiya of Saratov University.

Economics. Management. Law

ISSN 1994-2540 (Print)
ISSN 2542-1956 (Online)


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Russian
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Article
UDC: 
338.27

Agent-Based Model of Perfect Economy

Autors: 
Neverov Alexander N., Stolypin Volga Region Institute of Administration of the Russian Presidential Academy of National Economy and Public Administration
Golubev Fedor S., Stolypin Volga Region Institute of Administration of the Russian Presidential Academy of National Economy and Public Administration
Katkova Marina A., Saratov State Technical University named after Gagarin Yu. A.
Abstract: 

Introduction. Modern economic theory is the basis for market equilibrium. The tasks of empirical or experimental verification of the perfect economy model effectiveness from the standpoint of its real functioning are relevant. Theoretical analysis. Agentbased models allow to create computing tools that are characterized by the quantity of agents, their capabilities, and their ability to interact with each other. All this makes it possible to perform different simulations of real situations, with theoretical aspects being tested at the same time. The method is carried out through agents interacting in a designed environment. Empirical analysis. The model includes three active agents: “Buyer”, “Seller”, “Market”. Agents act rationally according to neoclassical economic theory. The logic of the models is based on the principles of the psycho-economic simulators “Perfect Economics” developed at the Center for Psychological and Economic Research. The agentoriented model was built using the AnyLogic software environment (hereinafter AL) and is a simulation of the theoretical model of “Perfect Economics”, adopted in neoclassical economic theory. Results. The imitation agent-oriented model is the implementation of theoretical models of neoclassical economic theory in specially designed ideal conditions, which allows you to check the functioning parameters of a perfect economy with absolutely rational agents.

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Received: 
09.06.2020
Accepted: 
27.07.2020
Available online: 
31.08.2020