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The NEAT software is based on the NeuroEvolution of Augmenting Topologies
method of evolving artificial neural networks, by Stanley and
Miikkulainen (2001). Papers describing the method and some associated
findings are available at:

http://www.cs.utexas.edu/users/kstanley

Also, see:
http://www.cs.utexas.edu/users/nn/pages/research/ne-methods.html#NEAT

Ken Stanley's UCF homepage:
http://www.cs.ucf.edu/~kstanley

This program is free software; you can redistribute it and/or modify it
under the terms of the GNU General Public License version 2 as published
by the Free Software Foundation. This program is distributed in the hope
that it will be useful, but without any warranty; without even the
implied warranty of merchantability or fitness for a particular purpose.
See the GNU General Public License for more details.

This package is currently in an alpha state. The implementation should be
done, but there are probably lots of bugs and it really needs to be optimized.
There are also lots of extra features left to be added from the various papers
published about this method.

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Python implementation of NEAT (exported from code.google.com/p/pyneat)

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