人工知能学会第二種研究会資料
Online ISSN : 2436-5556
人工社会シミュレーションを用いた生産性向上のための組織形成モデルの研究
矢田 昇平倉橋 節也
著者情報
研究報告書・技術報告書 フリー

2020 年 2020 巻 BI-014 号 p. 12-

詳細
抄録

In Japan which faces population decline and labor shortage, it is obvious that low productivityis an essential social issue that cannot be avoided.On the other hand, it is also true that Japanese technology is highly evaluated from a micro perspective.Based on these, low productivity in Japan can be said to be an organizational management issue.From the above, in this study, we identify an organization formation model that maximizes the productivityof organization by analysing how individual productivity and behavior patterns affect the productivity oforganization.In addition, these productivity of organization is generated by complex social systems such as individualinteractions, so we try to demonstrate the macro social order generatively using Agent-based model(ABM).

著者関連情報
© 2020 著作者
前の記事
feedback
Top