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Multi-Agent Based Simulation of Knowledge Propagation in Organizations
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- Hashimoto Gaku
- Graduate School of Frontier Sciences, The University of Tokyo
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- Fujiwara Takanori
- Graduate School of Frontier Sciences, The University of Tokyo
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- Suzuki Masaaki
- School of Engineering, The University of Tokyo
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- Okuda Hiroshi
- Graduate School of Frontier Sciences, The University of Tokyo
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- Ise Junji
- Nippon Steel & Sumitomo Metal Corporation
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- Shioya Masanori
- Nippon Steel & Sumitomo Metal Corporation
Bibliographic Information
- Other Title
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- 組織における知識伝播過程のマルチエージェントシミュレーション
- ソシキ ニ オケル チシキ デンパ カテイ ノ マルチエージェントシミュレーション
- Multi‐Agent‐Based Simulation of Knowledge Propagation in Organizations
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Description
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.
Journal
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- IEEJ Transactions on Electronics, Information and Systems
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IEEJ Transactions on Electronics, Information and Systems 133 (9), 1770-1778, 2013
The Institute of Electrical Engineers of Japan
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Details 詳細情報について
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- CRID
- 1390282679585008768
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- NII Article ID
- 10031193719
- 210000160593
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- NII Book ID
- AN10065950
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- ISSN
- 13488155
- 19429541
- 03854221
- 19429533
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- NDL BIB ID
- 024880773
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL Search
- Crossref
- CiNii Articles
- OpenAIRE
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- Abstract License Flag
- Disallowed