Dynamics of Large Autonomous Computational Systems

Tad Hogg () and Bernardo A. Huberman ()
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Tad Hogg: HP Laboratories Palo Alto
Bernardo A. Huberman: HP Laboratories Palo Alto

Chapter 13 in Collectives and the Design of Complex Systems, 2004, pp 295-315 from Springer

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.

Keywords: Computational System; Imperfect Information; Agent Type; Actual Payoff; Distribute Computer System (search for similar items in EconPapers)
Date: 2004
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4419-8909-3_13

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DOI: 10.1007/978-1-4419-8909-3_13

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