Synergetics and development processes in socio-economic systems: Search for effective modeling constructs
Synergetics and development processes in socio-economic systems: Search for effective modeling constructs
复制标题
社会经济系统中的协同和发展过程：寻找有效的建模结构
DOI：
10.17323/1998-0663.2016.1.66.79
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发表时间：
2016
影响因子：
--
通讯作者：
N. Lychkina
中科院分区：
文献类型：
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作者：
N. Lychkina
Natalya N.Lychkina -副教授，信息系统和技术在物流系，国家研究型大学高等经济学院地址：20，Myasnitskaya街，莫斯科，101000，俄罗斯联邦电子邮件：nlychkina@hse.ru本文探讨了社会转型的战略发展的社会经济过程的起源在转型经济。作者研究了发展社会经济系统的系统模式、结构和动态方面，确定了适当建模方法的必要性。分析了传统数学建模的局限性。协同学被用作发展中社会经济系统研究和建模的理论和方法论基础。建模社会行为，个人选择，各种形式的社会互动和自组织过程被认为是重要的方面。寻找模型描述方法的基础是在经济和社会科学领域进行跨学科研究，使用现代范式（系统动力学，基于代理的计算机模拟）和模拟技术，并分析其在研究社会经济系统发展过程的动态方面的可能性。提出了一个基于分层原则的发展中社会经济系统模拟的一般概念：微观层面再现社会和经济代理人的个人决策以及集体组织形式;宏观层面描述演化过程。对社会经济结构之间相互作用的解释是基于对社会系统不同阶层现象相互渗透的因果关系和动态表现的分析。它提供了将复合系统动态模型和基于代理的模型相结合的方法，使我们能够通过微观层面上经济和社会代理的个人和群体行为过程与宏观层面上社会经济系统的基本过程的周期性相互作用来研究社会经济过程的动态。提出了过程仿真技术和战略决策支持系统的基本发展方向：基于控制对象的广义仿真模型的计算机动态情景分析，社会设计过程中情景与参与者利益协调过程中的利益平衡模型，利用本体论对模型集进行分层描述，建立社会设计过程中情景与参与者利益协调过程中的利益平衡模型，建立社会设计过程中情景与参与者利益协调过程中的利益平衡模型。社会经济系统模型的参数化方法和代理人的规格。
Natalya N.Lychkina - Associate Professor, Department of Information Systems and Technologies in Logistics, National Research University Higher School of EconomicsAddress: 20, Myasnitskaya Street, Moscow, 101000, Russian FederationE-mail: nlychkina@hse.ru This paper explores the genesis of socio-economic processes of strategic development of social transformations in a transition economy. The author studies the system patterns and structural and dynamic aspects of developing socio-economic systems, defining the need for appropriate modeling methods. Restrictive features of traditional mathematical modeling are analyzed. Synergetics is applied as a theoretical and methodological fundamental of research and modeling of developing socio-economic systems. Modeling social behavior, individual choice, various forms of social interaction and self-organization processes are recognized to be significant aspects. Searching for methods of model description is based on carrying out interdisciplinary research in the field of economic and social sciences, using modern paradigms (system dynamics, agent-based computer simulation) and simulation technologies and analysis of their possibilities in the study of the dynamic aspects of the development processes in socio-economic systems. A general concept of simulation of developing socio-economic systems based on the principles of stratification is proposed: the micro-level reproduces individual decisions of social and economic agents, as well as the collective organizational forms; and the macro-level describes processes of evolution. The interpretation of the interactions between socio-economic configurations is based on analysis of causal dependencies and dynamic manifestations of the interpenetration of phenomena occurring in different strata of the social system. It offers methods of combining composite system-dynamic and agent-based models, allowing us to investigate the dynamics of socio-economic processes by a cyclical interaction of processes of individual and group behavior of economic and social agents at the micro level with the basic processes of socio-economic system at the macro level. The basic directions of development of technologies of simulation in procedures and strategic decision support systems are defined as follows: a computer dynamic scenario analysis based on a generalized simulation model of the control object; a model of balance of interests in the procedures of coordination of scenarios and interests of the participants of the process of social design; a stratified description of the model set with the use of ontologies; methods of parameterization of models of socio-economic systems and the specifications of agents.