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Constructing shared interpretations in a team of intelligent agents: the effects of communication intensity and structure

  • Davide Marchiori
  • Massimo Warglien
Part of the Agent-Based Social Systems book series (ABSS, volume 1)

Summary

In this paper we explore a model of a team of intelligent agents constructing a shared interpretation of the state of their environment. Each agent is modeled as a constraint satisfaction network of the Hopfield (1982) type.

We show that in a noisy environment communication intensity often has a non-monotonic effect on team interpretive accuracy. We also investigate how team communication can correct erroneous individual interpretations stored in agents’ memories — errors concerning what they know, not only what they perceive.

We also compare the effects of different communication structures, and show that communication structure matters only when agents are cognitively heterogeneous (each has a different repertoire of interpretations in his memory), while it has only a minor impact on team performance when agents are homogeneous.

Keywords

Team Neural Nets Hopfield Nets Reliability Groupthink 

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References

  1. Hertz J, Krogh A, Palmer R (1991) Introduction to the theory of neural computation. Addison WesleyGoogle Scholar
  2. Hopfield J J (1982) Neural networks and Physical Systems with Emergent Collective Computational Abilities. Proceedings of the National Academy of Sciences, 81, 3088–3092MathSciNetCrossRefGoogle Scholar
  3. Hutchins E, (1995) Cognition in the wild. MIT PressGoogle Scholar
  4. Janis I (1971) Victims of Groupthink. Houghton MiffinGoogle Scholar
  5. Weick K, Roberts K (1993) Collective Mind in Organizations: Heedful Interrelating on Flight Docks. Administrative Science Quarterly, 38, 357–81CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Tokyo 2005

Authors and Affiliations

  • Davide Marchiori
    • 1
  • Massimo Warglien
    • 1
  1. 1.Department of Business EconomicsCa’Foscari University of VeneziaVeneziaItaly

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