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---------- Forwarded message ----------
Date: Fri, 15 Apr 2005 12:51:38 -0400
From: Alan Sondheim <sondheim@gmail.com>
To: sondheim@panix.com
Subject: Fwd: MIT students' "computer-generated gibberish" accepted at science
     conf.

---------- Forwarded message ----------
From: Kathryn Koromilas <kaninaki@otenet.gr>
Date: Fri, 15 Apr 2005 18:12:11 +0300
Subject: MIT students' "computer-generated gibberish" accepted at science conf.
To: CYBERMIND@listserv.aol.com

MIT students pull prank on conference
Computer-generated gibberish submitted, accepted

Thursday, April 14, 2005 Posted: 7:29 PM EDT (2329 GMT)

CAMBRIDGE, Massachusetts (Reuters) -- In a victory for pranksters at the
Massachusetts Institute of Technology, a bunch of computer-generated
gibberish masquerading as an academic paper has been accepted at a
scientific conference.

Jeremy Stribling said Thursday that he and two fellow MIT graduate
students questioned the standards of some academic conferences, so they
wrote a computer program to generate research papers complete with
"context-free grammar," charts and diagrams.

The trio submitted two of the randomly assembled papers to the World
Multi-Conference on Systemics, Cybernetics and Informatics (WMSCI),
scheduled to be held July 10-13 in Orlando, Florida.

To their surprise, one of the papers -- "Rooter: A Methodology for the
Typical Unification of Access Points and Redundancy" -- was accepted for
presentation...

Read the rest here:
http://www.cnn.com/2005/TECH/science/04/14/mit.prank.reut/index.html


* The prank paper:
http://www.pdos.lcs.mit.edu/scigen/rooter.pdf

* Generate your own paper here:
http://www.pdos.lcs.mit.edu/scigen/

** MY PAPER (!):

Title:

"Smart", Highly-Available Models for the World
Wide Web

Abstract:

Decentralized symmetries and systems have garnered improbable
interest from both hackers worldwide and researchers
in the last several years. In fact, few physicists would disagree
with the understanding of extreme programming, which embodies
the practical principles of machine learning. Erg, our
new framework for heterogeneous models, is the solution to
all of these challenges.

kk ;-)

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