Summary
This paper proposes an agent-based simulation model for analyzing adaptive processes of organizational structures to environmental changes. The model is based on a framework of computational organization theory (COT) and performed using the method of inverse simulation with genetic algorithm. The model specifies an activity process in organization that is composed of tasks, agents and environments. The roles of agents: normal and leader, are defined based on some basic tasks of agents: recognizing tasks from environment, sharing knowledge required for processing tasks, and coordinating tasks among agents. Organizational structures are distinguished according to the configuration of the roles of agents resolving the tasks recognized. Adaptation process is represented as learning process of agents’ internal models of environments. Environments are expressed as task generators and fall into 5 types. This paper shows some fundamental relationships between organizational structures and dynamically changing environments.
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References
Carley KM, Gasser L (1999) Computational Organization Theory, in Multiagent Systems-A Modern Approach to Distributed Artificial Intelligence-(G. Weiss ed.). MIT Press.
Carley KM, Svoboda DM (1996) Modeling Organizational Adaptation as a Simulated Annealing Process. Sociological Methods & Research, Vol.25, No.l, pp.138–168.
Cotler P, Armstrong G (1999) Marketing: An Introduction (4th ed.). Prentice-Hall.
Deguchi H (ed.) (2000) Special Issue: Agent-based Approach. J. of Organizational Science, Vol.34, No.2 (in Japanese).
Kurahashi S, Minami U, Terano T (1999) Inverse Simulation for Analyzing Emergent Behaviors in Artificial Societies. J. of The Society of Instrument and Control Engineers, Vol.35, No.l1, pp.1454–1461 (in Japanese).
Lawrence PR, Lorsch JW (1967) Organization and Environment: Managing Differentiation and Integration. Harvard University Press.
March JG (1991) Exploration and Exploitation in Organizational Learning. Organization Science, Vol.2, No.l, pp.71–87.
Takadama K, Terano T, Shimohara K, Hori K, and Nakasuka S (1999) Making Organizational Learning Operational: Implications from Learning Classifier Systems. Computational & Mathematical Organization Theory, Vol.5, No.3, pp.229–252.
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© 2005 Springer-Verlag Tokyo
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Takahashi, S., Goto, Y. (2005). Agent-based simulation of adaptive organizational structures to environmental change. In: Terano, T., Kita, H., Kaneda, T., Arai, K., Deguchi, H. (eds) Agent-Based Simulation: From Modeling Methodologies to Real-World Applications. Agent-Based Social Systems, vol 1. Springer, Tokyo. https://doi.org/10.1007/4-431-26925-8_10
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DOI: https://doi.org/10.1007/4-431-26925-8_10
Publisher Name: Springer, Tokyo
Print ISBN: 978-4-431-26592-4
Online ISBN: 978-4-431-26925-0
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