[1]许立波,潘旭伟,袁平,等.知识智能涌现创新：概念、体系与路径[J].智能系统学报,2017,12(1):47-54.[doi:10.11992/tis.201610014]
XU Libo,PAN Xuwei,YUAN Ping,et al.Knowledge innovation by intelligent emergence—concept, framework and its pathway[J].CAAI Transactions on Intelligent Systems,2017,12(1):47-54.[doi:10.11992/tis.201610014]
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XU Libo,PAN Xuwei,YUAN Ping,et al.Knowledge innovation by intelligent emergence—concept, framework and its pathway[J].CAAI Transactions on Intelligent Systems,2017,12(1):47-54.[doi:10.11992/tis.201610014]
知识智能涌现创新：概念、体系与路径
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
12
期数:
2017年第1期
页码:
47-54
栏目:
学术论文—智能系统
出版日期:
2017-02-25
- Title:
- Knowledge innovation by intelligent emergence—concept, framework and its pathway
- Keywords:
- knowledge emergence; intelligent innovation; Extenics; megadata; basic element theory; knowledge management; innovation path
- 分类号:
- TP18;F272;G203
- 摘要:
- 快速变化的网络科技环境与创新需求，迫切需要相应的智能化创新理论与方法支撑。大数据及网络信息技术为创新机理的科学研究准备了条件。本文基于可拓学的基元理论，阐述了研究创新过程中海量知识的智能涌现机理的策略，以网络信息资源补充人脑隐性知识分享的不足，以模拟仿真技术实现创新路径的辅助生成，在一定程度上破解创新过程的“黑箱”困境，以解决创新的信息知识智能协同处理机理问题。智能创新理论的提出对丰富知识管理理论和科学创新方法具有较强的理论意义和实践意义。
- Abstract:
- The rapidly changing network technology environment and practical innovation urgently need support from corresponding intelligent innovation theory and methods. The development of megadata and network information technology has paved the way for scientific research of the innovation mechanism. Based on the basic-element theory of Extenics, the strategy for an intelligent emerging mechanism containing a large knowledgebase in the innovation process was expounded. This supplements the deficiency in hidden knowledge of the human brain, aids to realize the innovation pathway by simulation technology to remove the dilemma of the “black box” during the innovation process to a certain extent, and builds the mechanism of intelligent co-processing of innovative information and knowledge. This innovation mechanism is of theoretical and practical significance to enriching both knowledge management theory and scientific innovative approaches.
- 参考文献/References:
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备注/Memo
收稿日期:2016-10-13;改回日期:。
基金项目:国家自然科学基金项目（71271191）；教育部人文社科青年项目（16YJC630162）；浙江省自然科学基金项目（LY16G010010，LY14G010004）；宁波市自然科学基金项目（2015A610138）.
作者简介:许立波,男,1976年生,讲师,主要研究方向为智能信息处理、可拓学与机器学习。出版专著1部,发表一级和核心期刊论文10余篇,其中被SCI、EI收录6篇;潘旭伟,男,1977年生,教授,副院长,主要研究方向为可拓学与知识管理、商务智能与数据分析等。主持国家自然科学基金项目3项,获全国商业科技进步奖二等奖、浙江省企业管理现代化创新成果一等奖,发表论文80余篇,出版专著3部;袁平,女,1982年生,讲师,主要研究方向为可拓创新与旅游创业。主参国家级项目3项,主持省部级项目3项,发表论文12篇,出版专著2部。
通讯作者:李兴森.E-mail:lixs@nit.zju.edu.cn.
更新日期/Last Update:
1900-01-01