Cite this article as:

Neverov A. N., Golubev F. S., Katkova M. A. Agent-Based Model of Perfect Economy. Izv. Saratov Univ., Economics. Management. Law, 2020, vol. 20, iss. 3, pp. 266-270. DOI:

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Agent-Based Model of Perfect Economy

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.

  1. Friedman M. The Methodology of Positive Economics. In: Friedman M. Essays in Positive Economics. Chicago, University of Chicago Press, 1953, pp. 3–43.
  2. Koliadin N. P., Rusanovskiy V. A. Filosofi ya ekonomicheskogo analiza [Philosophy of Economic Analysis]. Saratov, Izd. tsentr Sarat. gos. sotsial.-ekonom. universiteta, 2005. 240 p. (in Russian).
  3. Makarov V. L., Bahtizin A. R., Sushko E. D., Vasenin V. A., Borisov V. A., Roganov V. A Agent-based models: world experience and technical feasibility of implementation on supercomputers. Bulletin of the Russian Academy of Sciences, 2016, vol. 86, no. 3, pp. 252–262 (in Russian). DOI:
  4. Makarov V. L., Bahtizin A. R. New instruments in social sciences – agent-oriented models: general description and specifi c examples. Ekonomika i upravlenie [Economics and Management], 2009, no. 12 (50), pp. 13–25 (in Russian).
  5. Bonabeau E. Agent-based modeling: Methods and techniques for simulating human systems. PNAS, 2002, vol. 99, suppl. 3, pp. 7280–7287. DOI:
  6. Shelling T. K. Mikromotivy i makropovedenie [Micromotives and Macrobehavior]. Moscow, Izd-vo Instituta Gajdara, 2016. 344 p. (in Russian).
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