在纳米、生物、信息技术和认知科学融合的背景下,使用系统范式设计社会技术系统

IF 1.8 Q3 MANAGEMENT
E. Sydorova, A. Pahomova, Sándor Halász
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引用次数: 1

摘要

目的:本研究的目的是在纳米、生物、信息技术和认知科学融合的背景下,利用系统范式发展一种设计社会技术系统的方法。方法论/方法:使用系统范例。根据资源消耗和系统能效的综合指标进行优化。分形的社会技术系统被创造出来,在个人需求和社会活动之间提供最大的相关性,考虑到以安全因素和物质资源为限制的自我发展为目的的需求形成的动态。研究结果:所提出的方法使开发具有高水平安全性的社会技术系统成为可能,确保可持续的螺旋式自我发展,并在系统的适应性、创新性、直觉性和分析性要素的基础上整合科学知识。研究局限/启示:在纳米、生物、信息技术和认知科学融合的背景下,提出了一个使用系统范式设计社会技术系统的一般概念,需要进一步研究。论文原创性/价值:在纳米、生物、信息技术和认知科学融合的背景下,首次提出了一种使用系统范式设计社会技术系统的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Designing Socio-Technical Systems Using the System Paradigm in the Context of Nano-, Bio-, Information Technology and Cognitive Science Convergence
Purpose: The purpose of the study is to develop a methodology for designing socio-technical systems using the system paradigm in the context of nano-, bio-, information technology and cognitive science convergence. Methodology/Approach: The systemic paradigm is used. The optimization is carried out according to the integral indicator of resource consumption and system energy efficiency. Fractal socio-technical systems are created that provide the maximum correlation between the needs of individuals and the activities of society, taking into account the dynamics of the formation of needs for the purpose of self-development with restrictions on safety factors and material resources. Findings: The proposed methodology makes it possible to develop socio-technical systems with a high level of security, ensuring sustainable spiral self-development and integration of scientific knowledge on the basis of adaptive, innovative, intuitive and analytical elements of the system. Research Limitation/Implication: A general concept for designing socio-technical systems using the system paradigm in the context of nano-, bio-, information technology and cognitive science convergence is presented that requires further research. Originality/Value of paper: A methodology for designing socio-technical systems using the system paradigm in the context of nano-, bio-, information technology and cognitive science convergence was first proposed.
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来源期刊
CiteScore
3.10
自引率
13.30%
发文量
16
审稿时长
6 weeks
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