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Моделирование синергетического развития государственно-политической системы

Authors: Zyrianov, A. V.;

Моделирование синергетического развития государственно-политической системы

Abstract

Зырянов Алексей Викторович – кандидат юридических наук, доцент кафедры теории и истории государства и права, Южно-Уральский государственный университет, г. Челябинск. E-mail: Lotos495@mail.ru. Aleksey Viktorovich Zyrianov – Candidate of Science (Law), Associate Professor of the Theory and History of State and Law Department, South Ural State University, Chelyabinsk, Russian Federation. E-mail: Lotos495@mail.ru. Настоящая статья посвящена выработке модели самоорганизационного развития государственно-политической системы с учетом определения принципов и условий ее генезиса, жизнеспособности, эволюции и коэволюции на основании применения синергетического подхода в исследовании государства. Предпринята попытка определения специальных аналитических показателей устойчивости государственного развития, их условий и пропорциональной взаимозависимости. Установлены принципы качественных системных преобразований, предопределяющие самоорганизационные процессы позитивной и негативной направленности организационного развития общества и государства. The article deals with a model of self-organization development of the state and political system, taking into account determination of principles and conditions of its genesis, vitality, evolution and co-evolution based on the application of a synergetic approach in the research study on the state. The author makes an attempt to specify analytical indicators of sustainable state growth, their conditions and proportional interdependence. The principles of qualitative systemic changes, which predetermine self-organization processes of a positive and negative orientation of the organizational development of the society and the state, are established.

Keywords

ББК Х02, модель, dependence and development, model, развитие, государство, system, characteristic feature, условие, self-organization, condition, признак, зависимость, state, УДК 341.2, УДК 34.03, самоорганизация, система

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green