John,

Your comments appear to be addressing reliability, rather than stability...

On Mon, Jun 21, 2010 at 9:12 AM, John G. Rose <[email protected]>wrote:

> > -----Original Message-----
> > From: Steve Richfield [mailto:[email protected]]
> >
> > My underlying thought here is that we may all be working on the wrong
> > problems. Instead of working on the particular analysis methods (AGI) or
> > self-organization theory (NN), perhaps if someone found a solution to
> large-
> > network stability, then THAT would show everyone the ways to their
> > respective goals.
> >
>
> For a distributed AGI this is a fundamental problem. Difference is that a
> power grid is such a fixed network.


Not really. Switches may connect or disconnect Canada, equipment is
constantly failing and being repaired, etc. In any case, this doesn't seem
to be related to stability, other than it being a lot easier to analyze a
fixed network rather than a variable network.


> A distributed AGI need not be that
> fixed, it could lose chunks of itself but grow them out somewhere else.
> Though a distributed AGI could be required to run as a fixed network.
>
> Some traditional telecommunications networks are power grid like. They have
> a drastic amount of stability and healing functions built-in as have been
> added over time.
>

However, there is no feedback, so stability isn't even a potential issue.

>
> Solutions for large-scale network stabilities would vary per network
> topology, function, etc..


However, there ARE some universal rules, like the 12db/octave requirement.


> Virtual networks play a large part, this would be
> related to the network's ability to reconstruct itself meaning knowing how
> to heal, reroute, optimize and grow..
>

Again, this doesn't seem to relate to millisecond-by-millisecond stability.

Steve



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agi
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