人工知识如何转化为融通创新生态系统知识——基于超循环理论的研究  

How to Transform Artificial Knowledge Into Co-innovation Ecosystem Knowledge:A Hypercycle Theory Perspective

作　　者：胡保亮[1] 王雨晴 Hu Baoliang;Wang Yuqing(School of Management,Hangzhou Dianzi University,Hangzhou 310018,China)

机构地区：[1]杭州电子科技大学管理学院,杭州310018

出　　处：《技术经济》2025年第3期111-121,共11页Journal of Technology Economics

基　　金：国家社会科学基金重点项目“人工智能推动大中小企业融通创新的新模式、新困境与政策优化研究”(23AGL009)。

摘　　要：人工智能在知识创造和创新驱动方面的潜力正不断被挖掘和得到认可,本文聚焦抓住人工智能带来的知识创造机会推动融通创新,对人工知识转化为融通创新生态系统知识的多层次过程、主要动力及固化机制等内容进行了研究。研究结果表明:①人工知识通过反应循环、催化循环和超循环逐级转化为融通创新主体职能部门的操作性知识、融通创新主体的战略性知识与融通创新生态系统的系统性知识;②人工知识的成功转化依赖于人机协同、职能部门协同和创新主体协同等多重动力因素;③人工知识转化流程的有效固化依赖于学习和忘却学习并行下的创造性学习机制。本文为人工知识转化为融通创新生态系统知识提供了一个理论框架,为人工智能赋能创新研究提供了新视角,也为利用人工智能的知识创造作用推动融通创新提供了管理启示。The potential of artificial intelligence(AI)in knowledge creation and innovation is constantly being explored and recognized.The multi-level process,main driving forces,and solidification mechanisms of transforming artificial knowledge into co-innovation ecosystem knowledge were studied,in order to seize the knowledge creation opportunities brought by AI to promote co-innovation.The findings show that artificial knowledge is gradually transformed into the operational knowledge of functional departments within innovation entities,the strategic knowledge of innovation entities,and the systemic knowledge of the innovation ecosystem through reaction cycles,catalytic cycles,and hypercycles respectively.The successful transformation of artificial knowledge relies on multiple driving factors consisting of human-machine collaboration,functional department collaboration,and innovation subject collaboration.The effective solidification of the process of artificial knowledge transformation relies on a creative learning mechanism that combines learning and unlearning.The findings provide a theoretical framework for understanding how artificial knowledge is transformed into co-innovation ecosystem knowledge,offer a new perspective for research on AI-enabled innovation,and provide managerial insights for utilizing the knowledge creation capabilities of AI to promote co-innovation.

关 键 词：人工智能 人工知识 知识创造 融通创新 超循环 

分 类 号：F270[经济管理—企业管理]