Reprint Announcement

[john kolen]

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)