| 注册
首页|期刊导航|工程研究——跨学科视野中的工程|人工智能对工程生态的塑造与驱动

人工智能对工程生态的塑造与驱动

王大洲 孙皖湘 余江

工程研究——跨学科视野中的工程2025,Vol.17Issue(1):65-77,13.
工程研究——跨学科视野中的工程2025,Vol.17Issue(1):65-77,13.DOI:10.3724/j.issn.1674-4969.20250017

人工智能对工程生态的塑造与驱动

Artificial Intelligence's Role in Shaping and Energizing Engineering Ecosystems

王大洲 1孙皖湘 1余江2

作者信息

  • 1. 中国科学院大学 人文学院,北京 100049
  • 2. 中国科学院 科技战略咨询研究院,北京 100190||中国科学院大学 公共政策与管理学院,北京 100049
  • 折叠

摘要

Abstract

The impact of artificial intelligence(AI)is pervasive,with technologies such as machine learning,deep learning,natural language processing,and computer vision being widely applied across various engineering domains.These technologies not only shape the engineering ecosystem but also drive its dynamic evolution.This paper examines the development trends and competitive landscape of AI from an engineering ecological perspective,focusing on the role of AI in shaping the engineering ecosystem and the manifestations and internal mechanisms of how AI drives the dynamic evolution of the engineering ecosystem.It is argued that in such an engineering ecosystem,artificial intelligence not only reshapes the engineering ecosystem but also drives its dynamic evolution.Intelligent artifacts have become intelligent partners in human activities;various ecological relationships have been reconstructed by artificial intelligence;data has become the"blood"for the operation of the engineering ecosystem,and the computing power network has become its"nervous system".Moreover,artificial intelligence has become the fundamental driving force for the dynamic evolution of the engineering ecosystem.Its internal mechanisms mainly include:artificial intelligence agents strengthen the interaction among the micro,meso,and macro levels of the engineering ecosystem;they enhance the increasing returns and network effects in the engineering ecosystem;they have intensified the competition among engineering ecosystems.and they give rise to intelligent construction methods for the engineering ecosystem,thus driving the dynamic evolution of the engineering ecosystem.When all aspects of engineering practice are equipped with cognitive units with autonomous evolution capabilities,an intelligent engineering ecosystem will emerge,and its dynamic evolution will exhibit stronger emergent characteristics.It is concluded that with the emergence of the intelligent engineering ecosystem,various new engineering niches have come to the fore,and the comprehensive intelligentization of engineering practice—including intelligent engineering decision-making,intelligent engineering design,intelligent engineering implementation,and intelligent engineering operation—has become an imperative.In this context,the"basic rules"of engineering practice are undergoing fundamental changes.Engineering practice has evolved into engineering ecological practice,and ecological thinking is becoming an important form of thinking that determines the success or failure of engineering practice.Engineering practitioners should not only focus on internal matters but also look outward.They need to pay attention to the broad ecological environment where engineering practice takes place and its real-time changes.Only in this way can they build the ideal project.For engineering practitioners,the basic lesson is as follows:They must actively embrace artificial intelligence and equip themselves with it as soon as possible to become"engineering practitioners empowered by artificial intelligence".On this basis,they should apply artificial intelligence to all aspects of engineering activities while remaining highly sensitive to the risks associated with AI applications.By doing so,they can enhance the capabilities,efficiency,and resilience of engineering practice,ultimately ensuring the sustainable development of engineering activities in the intelligent era.

关键词

人工智能/人工智能体/工程生态/动态演化

Key words

artificial intelligence/AI agent/engineering ecosystem/dynamic evolution

引用本文复制引用

王大洲,孙皖湘,余江..人工智能对工程生态的塑造与驱动[J].工程研究——跨学科视野中的工程,2025,17(1):65-77,13.

基金项目

中国工程院战略研究与咨询项目"工程生态论理论体系与实践研究"(2024-XZ-69) (2024-XZ-69)

教育部哲学社会科学研究重大课题攻关项目"工程科学哲学基本理论问题研究"(23JZD006) (23JZD006)

国家自然科学基金项目"数字技术创新机制、突破路径与政策体系研究"(72334007) (72334007)

工程研究——跨学科视野中的工程

1674-4969

访问量1
|
下载量0
段落导航相关论文