エージェント・シミュレーションで最適な組織を知る

抄録

This paper presents a novel agent-based simulation model to analyze organization structures, which will show optimum possible performances against environmental and organizational changes. The model is a natural extension of the tag model of cultural assimilations proposed by Axelrod. Using the model, we investigate the landscape of "could be" organizations through random search, and find an optimal organization through evolutionary computation techniques. The proposed model focuses on the process of how the organizational recognition on business environment changes when they face new one. The major findings are: 1) The optimum organizational structure is contingent upon who recognizes the environment, and 2) Such an optimum organization structure emerges depending on how fast schema of the staff correspond.