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Dynamics of Large Autonomous Computational Systems

In: Collectives and the Design of Complex Systems

Author

Listed:
  • Tad Hogg

    (HP Laboratories Palo Alto)

  • Bernardo A. Huberman

    (HP Laboratories Palo Alto)

Abstract

Summary Distributed large-scale computation gives rise to a wide range of behaviors, from the simple to the chaotic. This diversity of behaviors stems from the fact that the agents and programs have incomplete knowledge and imperfect information on the state of the system. We describe an instantiation of such systems based on market mechanisms, which provides an interesting example of autonomous control. We also show that when agents choose among several resources, the dynamics of the system can be oscillatory and even chaotic. Furthermore, we describe a mechanism for achieving global stability through local controls.

Suggested Citation

  • Tad Hogg & Bernardo A. Huberman, 2004. "Dynamics of Large Autonomous Computational Systems," Springer Books, in: Kagan Tumer & David Wolpert (ed.), Collectives and the Design of Complex Systems, chapter 13, pages 295-315, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4419-8909-3_13
    DOI: 10.1007/978-1-4419-8909-3_13
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