A brief introduction to tacit knowledge and the current research topics

Jia Hao, Qiang Fu Zhao, Yan Yan, Guo Xin Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)

Abstract

Computational awareness (CA) is proposed to give awareness capability to a machine. For implementing CA, a direct way is to simulate human awareness. Since tacit knowledge is an important component for human awareness, this work tries to give a brief introduction of the current research topics. First, several consensuses that have been achieved are identified. Then we identify three research topics, including tacit knowledge sharing, tacit knowledge quantization and tacit knowledge generation. Finally, in an attempt to provide a mathematical definition, we present an abstract computational model of tacit knowledge. By this work, we hope to contribute to the research community by clarifying the state-of-the-art of tacit knowledge.

Original languageEnglish
Title of host publicationProceedings of 2016 International Conference on Machine Learning and Cybernetics, ICMLC 2016
PublisherIEEE Computer Society
Pages917-921
Number of pages5
ISBN (Electronic)9781509003891
DOIs
Publication statusPublished - 2 Jul 2016
Event2016 International Conference on Machine Learning and Cybernetics, ICMLC 2016 - Jeju Island, Korea, Republic of
Duration: 10 Jul 201613 Jul 2016

Publication series

NameProceedings - International Conference on Machine Learning and Cybernetics
Volume2
ISSN (Print)2160-133X
ISSN (Electronic)2160-1348

Conference

Conference2016 International Conference on Machine Learning and Cybernetics, ICMLC 2016
Country/TerritoryKorea, Republic of
CityJeju Island
Period10/07/1613/07/16

Keywords

  • Computing awareness
  • Tacit knowledge generation
  • Tacit knowledge quantization
  • Tacit knowledge sharing

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