抄録
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.
