The Mechanism of Sharing Tacit Knowledge Based on Multi-Agent Systems

被引:0
|
作者
Wang, Qing-Nian [1 ]
Qin, Yu-Jie [2 ]
机构
[1] South China Univ Tech, Int Off, Guangzhou 510641, Guangdong, Peoples R China
[2] South China Univ Tech, Sch Environm & Energy, Guangzhou 510641, Guangdong, Peoples R China
关键词
D O I
10.1051/itmconf/20160709022
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The effective application of knowledge management in organizations is an essential factor in their successful operation. Furthermore, it is more important that how people exploit tacit knowledge, how they make tacit knowledge beneficial to the organization. Sharing tacit knowledge within an organization is critical to the organization among the individuals and between the individuals. However, there is no approach based on multi agent systems to analyze the sharing of tacit knowledge, and to discover what kinds of methods tacit knowledge can be shared and how organizations make themselves effective and efficient based on multi-agent systems. So this paper, based on multi-agent systems, aims to present for discussion the mechanism of sharing tacit knowledge within an organization. First of all, this paper describes three main characteristics of tacit knowledge; then expands to find the games between the individuals in the organization. Finally, some conclusions and further discussions are puts forward.
引用
收藏
页数:6
相关论文
共 50 条
  • [31] A mechanism of timely knowledge push on demand based on ECA and multi-agent techniques
    Wu, Jianlin
    Lou, Shuangshuang
    Xiong, Yan
    Wang, Bai
    RESEARCH AND PRACTICAL ISSUES OF ENTERPRISE INFORMATION SYSTEMS II, VOL 1, 2008, 254 : 317 - +
  • [32] Research on the Growth Mechanism of Entrepreneurship by Knowledge Coupling Based on Multi-agent Interaction
    Gao, Xin
    JOURNAL OF THE KNOWLEDGE ECONOMY, 2024,
  • [33] A mechanism of timely knowledge push on demand based on ECA and multi-agent techniques
    Wu, Jianlin
    Lou, Sbuangsbuang
    Xiong, Yan
    Wang, Bai
    IFIP Advances in Information and Communication Technology, 2007, 254 : 317 - 326
  • [34] Linking Events-based Communication Mechanism in Multi-agent Systems
    Duan, Liming
    Gai, Rongli
    Guo, Ruifeng
    Zhong, Ray Y.
    Wang, Fenghai
    2018 IEEE 15TH INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC), 2018,
  • [35] Coalition formation mechanism in multi-agent systems based on genetic algorithms
    Yang, Jingan
    Luo, Zhenghu
    APPLIED SOFT COMPUTING, 2007, 7 (02) : 561 - 568
  • [36] A multi-agent based efficient resource discovery mechanism for Grid systems
    Tan, Yunsong
    Han, Jianjun
    Wu, Yuntao
    Journal of Computational Information Systems, 2010, 6 (11): : 3623 - 3632
  • [37] Multi-Agent Uncertainty Sharing for Cooperative Multi-Agent Reinforcement Learning
    Chen, Hao
    Yang, Guangkai
    Zhang, Junge
    Yin, Qiyue
    Huang, Kaiqi
    2022 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2022,
  • [38] The Knowledge Management System based on Multi-Agent
    Zhang, Peijun
    Ma, LiYan
    2009 INTERNATIONAL CONFERENCE ON FUTURE BIOMEDICAL INFORMATION ENGINEERING (FBIE 2009), 2009, : 505 - +
  • [39] Describing and configuring multi-agent systems at the knowledge level
    Gomez, M
    Plaza, E
    ARTIFICIAL INTELLIGENCE RESEARCH AND DEVELOPMENT, 2003, 100 : 221 - 232
  • [40] Developing Knowledge Models for Multi-agent Mediator Systems
    Shiang, Cheah Wai
    Sterling, Leon
    AGENT COMPUTING AND MULTI-AGENT SYSTEMS, 2009, 5044 : 440 - 445