'COIN routing'

Kragen Sitaker (kragen@pobox.com)
Tue, 11 May 1999 08:11:06 -0400 (EDT)

>From xxx.lanl.gov:
Paper: cs.LG/9905004
From: Kagan Tumer <kagan@ptolemy.arc.nasa.gov>
Date: Mon, 10 May 1999 20:52:23 GMT (18kb)

Title: Using Collective Intelligence to Route Internet Traffic
Authors: David H. Wolpert, Kagan Tumer, Jeremy Frank
Comments: 7 pages
Subj-class: Learning; Distributed Computing; Networking and Internet
ACM-class: I.2.6; I.2.11
Journal-ref: Advances in Information Processing Systems - 11, eds M. Kearns, S.
Solla, D. Cohn, MIT Press, 1999
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
\\ ( http://xxx.lanl.gov/abs/cs/9905004 , 18kb)

<kragen@pobox.com>       Kragen Sitaker     <http://www.pobox.com/~kragen/>
TurboLinux is outselling NT in Japan's retail software market 10 to 1,
so I hear. 
-- http://www.performancecomputing.com/opinions/unixriot/981218.shtml