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Amorphous Predictive Nets

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Unifying Themes in Complex Systems IV

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Abstract

This paper describes our approaches for coordinating the actions of extremely large numbers of distributed, loosely connected, embedded computing elements. In such networks, centralized control and information processing is impractical. If control and processing can be decentralized, the communications bottleneck is removed and the system becomes more robust. Since conventional computing paradigms provide limited insight into such decentralized control, we look to biology for inspiration.

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References

  • Dijkstra, E.W. 1959, A Note on Two Problems in Connection with Graph Theory, Numerische Mathematik, 1:269–271.

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Author information

Authors and Affiliations

  1. HRL Laboratories, LLC, Malibu, CA, 90265

    Regina Estkowski, Michael Howard & David Payton

Authors
  1. Regina Estkowski
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  2. Michael Howard
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  3. David Payton
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Editor information

Editors and Affiliations

  1. Department of Electrical and Computer Engineering, and Computer Science, University of Cincinnati, P.O. Box 210030, Rhodes Hall 814, Cincinnati, OH, 45221-0030, USA

    Ali A. Minai

  2. New England Complex Systems Institute, 24 Mt. Auburn St., Cambridge, MA, 02138-3068, USA

    Yaneer Bar-Yam

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© 2002 HRL Laboratories, LLC

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Estkowski, R., Howard, M., Payton, D. (2002). Amorphous Predictive Nets. In: Minai, A.A., Bar-Yam, Y. (eds) Unifying Themes in Complex Systems IV. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73849-7_32

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