This article is cited in 1 paper

COMPUTER SCIENCE. NANOTECHNOLOGY

Stochasticity and fractality of prototypes of neural network models of economic phenomena

L. A. Gaboeva, Yu. Kh. Khamukov

Institute of Computer Science and Problems of Regional Management of KBSC of the Russian Academy of Sciences, 360000, KBR, Nalchik, 37-a, I. Armand street

Abstract: Modeling of economic phenomena aims to prevent threats of not-humanistic behavior of spontaneously formed associations of powerful hardware-software complexes. Models of economic agents - proactive elements of dissipative systems – created on the basis of neural network technology, will allow to forecast the evolution of the economic system - biogeocenosis. Phenomenological approach is used to examine the properties of the manifold formed by such models-agents.

Keywords: pro-activity, geobiocenosis, entropy, ecosystem, irreversibility.

UDC: 004.896

Received: 25.05.2012

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