Agent-based organizational cybernetics for organizational learning

研究成果: Conference contribution

抄録

This paper proposes guidelines to evaluate agent’s internal model effectively in organizational learning. We developed an approach named Agent-based Organizational Cybernetics (AOC) to describe problems in organizational learning with an agent-based model and to design some prescriptions for them. This paper focuses on four typical evaluation problems of internal model in organizational learning: (1) environmental scanning, (2) policy making, (3) coordination, and (4) task resolution. We design and test some guidelines for each problem. The results provide some effective guidelines in organizational learning. Organizational-performance(OP)-based evaluation realizes organization’s high performance in all four problem situations. However, the OP-based evaluation cannot guarantee that an agent gets a right internal model all the time. So, it is effective to also consider some other complementary evaluations.

本文言語English
ホスト出版物のタイトルProceedings of the 4th Conference of the European Social Simulation Association, ESSA 2007
編集者Frederic Amblard
出版社The European Social Simulation Association (ESSA)
ページ659-670
ページ数12
ISBN(電子版)9782952032674
出版ステータスPublished - 2007
イベント4th Annual Conference of the European Social Simulation Association, ESSA 2007 - Toulouse, France
継続期間: 2007 9 102007 9 14

出版物シリーズ

名前Proceedings of the 4th Conference of the European Social Simulation Association, ESSA 2007

Conference

Conference4th Annual Conference of the European Social Simulation Association, ESSA 2007
CountryFrance
CityToulouse
Period07/9/1007/9/14

ASJC Scopus subject areas

  • Modelling and Simulation

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