Integration of bionics, digital innovations, and democratic management principles for industrial transformation.

IF 5.1 2区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
K. S, K. O., Volodchenko Yu.
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Abstract

This article explores an innovative and interdisciplinary approach to the integration of bionic principles, digital technologies and democratic governance in the transformation of industrial production in Ukraine. Emphasis is placed on the adaptation of industrial production to modern requirements of sustainability, efficiency and environmental safety in the context of the Ukrainian economy. The bionic approach involves the integration of natural principles and mechanisms into technological processes, offering a unique perspective for increasing production efficiency and environmental sustainability. The main objectives of this study are to study how a bionic approach, combined with digital technologies and public participation in decision-making, can transform industrial production in Ukraine, making it more sustainable, efficient and environmentally friendly. This includes an analysis of the bionic approach and its potential to improve production efficiency, the role of digital technologies in optimizing production processes, and the impact of democratic governance on creating a fair and transparent economic system in an industrial context. The article provides strategic directions and recommendations that can help Ukraine adapt to global trends and use them for sustainable industrial development and improving the quality of life. The importance of the bionic approach in creating a sustainable and efficient industry is undeniable. The implementation of this approach not only reduces the environmental impact of production, but also stimulates innovative development, opening up new opportunities for the creation of technologies that are environmentally safe and cost-effective. The article also emphasizes the importance of public participation in economic decision-making in the industrial sector. This democratic governance in the economy, the key theme of the article, emphasizes the importance of involving civil society in decision-making processes in the economy, especially in the context of industrial reform.
融合仿生学、数字创新和民主管理原则,促进工业转型。
本文探讨了将仿生原理、数字技术和民主治理整合到乌克兰工业生产转型中的创新和跨学科方法。重点是在乌克兰经济背景下,使工业生产适应可持续性、效率和环境安全的现代要求。仿生方法涉及将自然原理和机制融入技术流程,为提高生产效率和环境可持续性提供了一个独特的视角。本研究的主要目标是研究仿生方法如何与数字技术和公众参与决策相结合,改变乌克兰的工业生产,使其更加可持续、高效和环保。这包括分析仿生方法及其提高生产效率的潜力、数字技术在优化生产流程中的作用,以及民主治理对在工业背景下创建公平透明的经济体系的影响。文章提供了战略方向和建议,有助于乌克兰适应全球趋势,并利用这些趋势促进可持续工业发展和提高生活质量。仿生方法在创建可持续和高效工业方面的重要性毋庸置疑。采用这种方法不仅能减少生产对环境的影响,还能刺激创新发展,为创造对环境安全且具有成本效益的技术开辟新的机遇。文章还强调了公众参与工业部门经济决策的重要性。这种经济领域的民主治理是文章的关键主题,它强调了让民间社会参与经济领域决策过程的重要性,尤其是在工业改革的背景下。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Artificial Intelligence
Artificial Intelligence 工程技术-计算机:人工智能
CiteScore
11.20
自引率
1.40%
发文量
118
审稿时长
8 months
期刊介绍: The Journal of Artificial Intelligence (AIJ) welcomes papers covering a broad spectrum of AI topics, including cognition, automated reasoning, computer vision, machine learning, and more. Papers should demonstrate advancements in AI and propose innovative approaches to AI problems. Additionally, the journal accepts papers describing AI applications, focusing on how new methods enhance performance rather than reiterating conventional approaches. In addition to regular papers, AIJ also accepts Research Notes, Research Field Reviews, Position Papers, Book Reviews, and summary papers on AI challenges and competitions.
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