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A Methodology for Modeling Coordination in Intelligent Agent Societies

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  • Raphael M. Malyankar

    (Arizona State University)

  • Nicholas V. Findler

    (Arizona State University)

Abstract

This paper describes an experiment in studying coordination in intelligent agent societies in terms of state-variable models. An overview of the modeling framework is first provided. The architectural foundation for the modeling approach is then described. This description is followed by a sample application of the methodology in analyzing a coordination scenario. A simulation of the system within the realm of the parameters of the framework is used to validate the approach. Variations of optimal coordination caused by differing conditions are described. The intention of this paper is to demonstrate principles for constructing models of intelligent agent societies in terms of state-variable descriptions with a view to analyzing optimal coordination.

Suggested Citation

  • Raphael M. Malyankar & Nicholas V. Findler, 1998. "A Methodology for Modeling Coordination in Intelligent Agent Societies," Computational and Mathematical Organization Theory, Springer, vol. 4(4), pages 317-345, December.
    • Handle: RePEc:spr:comaot:v:4:y:1998:i:4:d:10.1023_a:1009634413228
    DOI: 10.1023/A:1009634413228
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    References listed on IDEAS

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    1. Kevin Crowston, 1994. "A Taxonomy of Organizational Dependencies and Coordination Mechanisms," Working Paper Series 174, MIT Center for Coordination Science.
    2. Thomas W. Malone, 1987. "Modeling Coordination in Organizations and Markets," Management Science, INFORMS, vol. 33(10), pages 1317-1332, October.
    3. Kevin Crowston, 1994. "Electronic communication and new organizational forms: A coordination theory approach," Working Paper Series 175, MIT Center for Coordination Science.
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    Cited by:

    1. Klein, Mark & Poltrock, Steven & Handel, Mark, 2007. "A Coordination-Theoretic Approach to Understanding Process Differences," Working papers 37155, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    2. Nicholas V. Findler & Raphael M. Malyankar, 2000. "An Empirical Approach to a Theory of Coordination. Part I: Design Principles and First Results," Computational and Mathematical Organization Theory, Springer, vol. 6(2), pages 119-144, July.
    3. Brian W. Kulik & Timothy Baker, 2008. "Putting the organization back into computational organization theory: a complex Perrowian model of organizational action," Computational and Mathematical Organization Theory, Springer, vol. 14(2), pages 84-119, June.

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