Using Collective Intelligence to Route Internet Traffic

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Abstract

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A COllective INtelligence (COIN) is a set of interacting reinforcement learning (RL) algorithms designed in an automated fashion so that their collective behavior optimizes a global utility function. We summarize the theory of COINs, then present experiments using that theory to design COINs to control internet traffic routing. These experiments indicate that COINs outperform all previously investigated RL-based, shortest path routing algorithms.
7 pages

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Machine Learning, Adaptation and Self-Organizing Systems, Statistical Mechanics, Distributed, Parallel, and Cluster Computing, Networking and Internet Architecture, I.2.6; I.2.11

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http://salesiana.dossiersoluciones.com/handle/123456789/33195

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/cs/9905004
 http://arxiv.org/abs/cs/9905004
 Advances in Information Processing Systems - 11, eds M. Kearns, S. Solla, D. Cohn, MIT Press, 1999

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arXiv