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Dependence Graphs: Dependence Within and Between Groups

Author

Listed:
  • Rosaria Conte

    (Istituto di Psicologia del Cnr)

  • Jaime Simão Sichman

    (Escola Politecnica da Universidade de São Paulo)

Abstract

This paper applies the two-party dependence theory (Castelfranchi, Cesta and Miceli, 1992, in Y. Demazeau and E. Werner (Eds.) Decentralized AI-3, Elsevier, North Holland) to modelling multiagent and group dependence. These have theoretical potentialities for the study of emerging groups and collective structures, and more generally for understanding social and organisational complexity, and practical utility for both social-organisational and agent systems purposes. In the paper, the dependence theory is extended to describe multiagent links, with a special reference to group and collective phenomena, and is proposed as a framework for the study of emerging social structures, such as groups and collectives. In order to do so, we propose to extend the notion of dependence networks (applied to a single agent) to dependence graphs (applied to an agency). In its present version, the dependence theory is argued to provide (a) a theoretical instrument for the study of social complexity, and (b) a computational system for managing the negotiation process in competitive contexts and for monitoring complexity in organisational and other cooperative contexts.

Suggested Citation

  • Rosaria Conte & Jaime Simão Sichman, 2002. "Dependence Graphs: Dependence Within and Between Groups," Computational and Mathematical Organization Theory, Springer, vol. 8(2), pages 87-112, July.
    • Handle: RePEc:spr:comaot:v:8:y:2002:i:2:d:10.1023_a:1016084432602
    DOI: 10.1023/A:1016084432602
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    References listed on IDEAS

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    1. Jaime Simão Sichman, 1998. "DEPINT: Dependence-Based Coalition Formation in an Open Multi-Agent Scenario," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 1(2), pages 1-3.
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    Cited by:

    1. 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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