On Tue, Feb 24, 2009 at 08:40, Daniel Burgos <dbur...@gmail.com> wrote:
> I worked on this some time ago. I did not use neural networks but patterns
> with feedback.
>
> The problem with feedback is that it is difficult to know when it reaches
> its final state. Usually you get oscillations and that state never happens.
>
> I tried to solve that using timeouts, but what I got were random players.

One way to handle this is to let the feedback loopbacks have a
significant atenuation, so that the system will eventually settle to
an equilibrium if the inputs don't change anymore. As with anything
else, YMMV.

regards,
Vlad
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