人工智能增强技术创新绿色动力研究:动态优化、平衡与适配问题
DOI:
CSTR:
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

F062.4

基金项目:

中国社会科学院智库基础项目“‘十五五’期间绿色科技的创新生态演化趋势与创新韧性提升策略研究”(ZKJC251304)。


Research on artificial intelligence enhancing the green driving force of technological innovation: dynamic optimization, balance, and adaptation
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    要应对当前复杂的国际局势,特别是在激烈的市场博弈中取得竞争优势,中国需要充分激活创新动力,发展新质生产力。在绿色经济逐步成为国家核心竞争力的背景下,绿色市场的巨大规模成为国家技术创新活动的重要动力源。通过比较研究后发现:“压力—动力”转化问题是技术创新绿色动力的典型特点,在把生态环保压力转换为技术创新动力过程中,面临着压力的动态优化、供需的动态平衡,以及市场需求变化与技术突破方向的动态适配等三重动态性带来的挑战。人工智能具有实时感知与响应、自主学习与推理、复杂动态系统控制、不确定性管理及多智能体协同等优势,为应对动态性提供了更高效的解决方案。在政策层面,应基于“弹性架构+智能调节”的政策设计理念,政策模块化设计模式,以及运用AI形成“压力—动力”敏捷转化链等措施,完善有利于应对动态性的智能化“感知—决策—行动”系统。

    Abstract:

    To cope with the current complex international situation, especially to gain a competitive advantage in the fierce market competition, China needs to fully activate its innovation drive and develop new quality productive forces. Against the backdrop of green economy gradually becoming the core competitiveness of the country, the huge scale of the green market has become an important driving force for national technological innovation activities. Through comparative analysis, it is found that the problem of “pressure-power” transformation is a typical characteristic of green driving force in technological innovation. In the process of converting environmental pressures into technological innovation drivers, will face challenges brought by the dynamic optimization of pressure, dynamic balance of supply and demand, and dynamic adaptation of market demand with technological breakthrough directions; The advantages of artificial intelligence, such as real-time perception and response, autonomous learning and reasoning, complex dynamic system control, uncertainty management, and multi-agent collaboration, provide more efficient solutions for dealing with dynamism; At the policy level, should pay attention to the policy design concept of “flexible architecture+intelligent regulation”, policy modular design mode, and using AI to form a “pressure-power” agile transformation chain, in order to improve the intelligent “perception-decision-action” system.

    参考文献
    相似文献
    引证文献
引用本文

李萌.人工智能增强技术创新绿色动力研究:动态优化、平衡与适配问题[J].中国软科学,2025,(8):189-200

复制
分享
相关视频

文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2026-06-02
  • 出版日期:
文章二维码