Industry 5.0: concept, formation and development

Author:

Babkin A. V.1ORCID,Fedorov A. A.2ORCID,Liberman I. V.2ORCID,Klachek P. M.2ORCID

Affiliation:

1. Peter the Great St. Petersburg Polytechnic University

2. Baltic Federal University of Immanuel Kant

Abstract

At present in Europe and Russia there are active discussions of the next mega stage of human social and economic development. It concerns the Industry 5.0 concept. In 2020–2021 members of scientific research and technological organizations discussed the aspects of Industry 5.0 at a number of well-known European and Russian forums. Major attention was paid to technologies maintaining Industry 5.0. As a result the world scientific community reached a consensus on two fronts: firstly, on integration of opportunities of the existing technologies of Industry 4.0 with the human-oriented approach of Industry 5.0 which will give way to harmonious interaction of human intelligence with cognitive calculations; and, secondly, on integration of human and machine intelligence to create collective intelligence which will make it possible to avoid technological singularity in future as well as provide for simultaneous humans’ evolution and technologies’ development. These will become the basis for creating a fundamentally new social, economic and cultural strategy of the society’s development for the coming decades. The strategy is based on applying collective intelligence and meta-system technologies in all spheres of life. For the first time in the world scientific practice the authors introduce the concept of Industry 5.0 as a cyber social system which allows the alliance of human and artificial intelligence aimed at creating collective super intelligence and becomes a source of harmonious technological development of human civilization. The authors present a neuro-ecosystem model of Industry 5.0 concept which will make it possible to set the task of implementing the systems of global meta-system strategized development of cognitive production and industry. Such systems are established as part of organization of cognitive production and new types of social and economic, cyber-social and industrial ecosystems by means of implementing collective intelligence and neuro-digital meta-technologies. This is the first stage of a new evolution process of developing Industry 4.0 concept, transition to Industry 5.0 and to meta-system transformations economics.

Publisher

National University of Science and Technology MISiS

Subject

Anesthesiology and Pain Medicine

Reference45 articles.

1. Fedorov A.A., Koryagin S.I., Liberman I.V., Klachek P.M., Polupan K.L. The basics of creating neuro-digital ecosystems. Hybrid computational intelligence. Kaliningrad: Immanuel Kant Baltic Federal University; 2021. 241 p. (In Russ.)

2. Klachek P.M., Polupan K.L., Koryagin S.I., Liberman I.V. Hybrid computing intelligence. Fundamentals of theory and technology for creating applied systems. 2nd ed. Kaliningrad: Immanuel Kant Baltic Federal University; 2020. 340 p. (In Russ.)

3. Klachek P.M., Koryagin S.I., Lizorkina O.A. Intelligent systems engineering. Kaliningrad: Immanuel Kant Baltic Federal University; 2015. 214 p. (In Russ.).

4. Klachek P.M., Koryagin S.I., Kolesnikov A.V., Minkova E.S. Hybrid adaptive intelligent systems. Development theory and technology. Kaliningrad: Immanuel Kant Baltic Federal University; 2011. 374 p. (In Russ.)

5. Fedorov A.A., Liberman I.V., Koryagin S.I., Klachek P.M. Neuro-digital ecosystem design technology for the implementation of the industry 5.0 concept. St. Peterburg State Polytechnical University Journal. Economics. 2021;(3):19–39. (In Russ.). https://doi.org/10.18721/JE.14302

Cited by 19 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3