基于P.K. Anokhin功能系统一般理论的大型社会经济系统基于主体的建模

IF 2.2 3区 工程技术 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY
V. Makarov
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引用次数: 0

摘要

提出了一种新的方法,将一个大型社会经济系统作为一个有生命的有机体,按照内部结构和惯性发展,并能够在包括控制行动在内的外部因素的影响下进行自组织。该方法是基于P.K. Anokhin的功能系统一般理论的应用,以及它的形式化-系统的范畴理论,根据该理论,功能系统的内部架构被表示为单个元素之间连接的巨大图。在基于agent的模型中,要素是两种类型的agent(人和组织),它们之间的联系指示着信息、物质和财务资源的传递方向。已经开发了代理及其环境属性的最小必要结构,以及它们相互作用的算法,提供了对代理间链接形成的模仿,建立生产链和创建新的经济代理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Agent-based modeling of large socio-economic systems based on the general theory of functional systems of P.K. Anokhin
A new methodology for modeling the dynamics of a large socio-economic system as an living organism, developing in accordance with the internal structure and inertia and capable of self-organization under the influence of external factors, including control actions, is presented. The methodology is based on the application of the general theory of functional systems by P.K. Anokhin, as well as its formalization - the category theory of systems, according to which the internal architecture of a functional system is represented as a huge graph of connections between its individual elements. In the agent-based model, the elements are agents of two types (people and organizations), and their connections indicate the direction of the transfer of information, material and financial resources. The minimum necessary structure of the properties of agents and their environment, as well as algorithms for their interaction, providing imitation of the formation of inter-agent links, building production chains and creating new economic agents, has been developed.
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来源期刊
CiteScore
7.40
自引率
9.50%
发文量
16
审稿时长
21 weeks
期刊介绍: The Journal of Artificial Societies and Social Simulation is an interdisciplinary journal for the exploration and understanding of social processes by means of computer simulation. Since its first issue in 1998, it has been a world-wide leading reference for readers interested in social simulation and the application of computer simulation in the social sciences. Original research papers and critical reviews on all aspects of social simulation and agent societies that fall within the journal"s objective to further the exploration and understanding of social processes by means of computer simulation are welcome.
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