Multi-agent based simulation of knowledge propagation in organizations

Gaku Hashimoto, Takanori Fujiwara, Masaaki Suzuki, Hiroshi Okuda, Junji Ise, Masanori Shioya

Research output: Contribution to journalArticle


In this study, we propose an agent model based on SECI model by Nonaka for simulating knowledge propagation in organizations. In this model, complexity of knowledge is expressed as bit-tag, and worker-agent and knowledge manager agent are introduced. Some parametric studies is performed for bit-tag length, internalization rates and communication pattern of worker-agent, and evaluate acquirement of knowledge to verify the present simulation model. Furthermore, scenario simulation is implemented with respect to employment periods of worker-agent and the effectiveness of multi-agent model is shown from qualitative evaluation of knowledge variation corresponding to joining and leaving organization.

Original languageEnglish
Pages (from-to)1770-1778+16
JournalIEEJ Transactions on Electronics, Information and Systems
Issue number9
Publication statusPublished - 2013



  • Knowledge Management
  • Knowledge Spiral
  • Multi-agent Modeling
  • SECI Model
  • Scenario Analysis

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