Reprint Announcement
john kolen
kolen-j at cis.ohio-state.edu
Tue Jan 11 18:02:04 EST 1994
This is an announcement of a newly available paper in neuroprose:
Fool's Gold: Extracting Finite State Machines
From Recurrent Network Dynamics
John F. Kolen
Laboratory for Artificial Intelligence Research
Department of Computer and Information Science
The Ohio State University
Columbus, OH 43210
kolen-j at cis.ohio-state.edu
Abstract
Several recurrent networks have been proposed as representations for the
task of formal language learning. After training a recurrent network rec-
ognize a formal language or predict the next symbol of a sequence, the
next logical step is to understand the information processing carried out
by the network. Some researchers have begun to extracting finite state
machines from the internal state trajectories of their recurrent networks.
This paper describes how sensitivity to initial conditions and discrete
measurements can trick these extraction methods to return illusory finite
state descriptions.
This paper will appear in NIPS 6.
************************ How to obtain a copy ************************
Via Anonymous FTP:
unix> ftp archive.cis.ohio-state.edu
Name: anonymous
Password: (type your email address)
ftp> cd pub/neuroprose
ftp> binary
ftp> get kolen.foolsgold.ps.Z
ftp> quit
unix> uncompress kolen.foolsgold.ps.Z
unix> lpr kolen.foolsgold.ps (or what you normally do to print PostScript)
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