On Tue, Nov 4, 2014 at 12:53 PM, Bruno Marchal <[email protected]> wrote:

> I watched it over a few times seeing this simple, yet still fairly
> numerous 80,000 node + (multiple factors more synaptic connections) network
> in dynamic action…. How it lights up then relaxes back into lower activity;
> how activity in one region of the fish brain seems to trigger or be
> associated with other areas that light up with neural activity in a
> seemingly synchronized manner.
>
>
> Yes. But not too much, or the fish get epileptic problems.
>
>
Hi Bruno,

Not to hijack the discussion... but I suspect that the extreme polarity we
see in American politics (and possibly elsewhere) is a symptom of a sort of
epileptic seizure of the "global brain", thanks to all the new connections
mediated by the internet.

Terren


>
>
> Fascinating. It looks like one of Telmo's graph, with an observable
> dynamics.
> Those transparent animals reminds me of the planar boolean graph of the
> MGA ...
>
> It makes me wonder if there are certain meta behaviors that large highly
> networked and parallelized systems share in common.
>
>
> Yes.
> Most love bread and wine, and most hates taxes and death.
>
>
>
> Wonder if there are certain equations that could express these, if they do
> exist and again if such underlying common behavior exists if a knowledge of
> them can help designers create better systems.
>
>
> We can study machines with simple (but rich, löbian) beliefs, and then by
> imposing simply some self-referentially correct constraints, we can study
> the logic of their beliefs and variants in a way which does not depend of
> the implementation. So if neural highly parallel system are supposed to be
> "correct" or "meaningfull" in the appropriateness of their response with
> respect to some highly probable local "reality", then they will obey to the
> modal logical equations related to the logic of self-reference. Now, some
> of those modal relations can still be based on the mathematics of the 3p
> high level cellular automata, or other parallel implementatioons, and
> diverse representation theorem should not be excluded.
>
>
>
>
>
>
> For example, how do large wide area networks link up, i.e. what is the
> topology of their vertices? How do local area connections and sub networks
> interact with and become affected by other dynamic network activity that
> has a  wide area scope and reach…. And the role that long distance vertices
> have to play in linking the large number of local groups into a cohesively
> functioning whole.
>
>
> It might be similar to the ways news circulate on facebook or the net. It
> might also be interesting to have map à la Telmo, managing the dynamics of
> the "news and gossips" on the social net.
>
>
>
>
> The dynamic functioning of highly parallelized, non-centrally directed (or
> timed either) wide area networks, characterized by having a plethora of
> regions of specialization, is something I find of particular interest.
>
>
> The ultimate reality is 0 dimensional, I think, assuming computationalism
> and occam, but of course the fun is not in the ultimate reality. It comes
> from inside where parallelism and dialog/exchange might play a crucial
> role. Now, computationalism as a TOE (arithmetic, computer science) has not
> yet a physical tensor product, so hard to see if the number dreams cohere
> enough to have such stable relationships.
>
> A brain is when amoeba colonies got the cables, but in arithmetic, we are
> not yet so advanced.
>
> Bruno
>
>
>
>
> -Chris
>
>
>
>
>
> *From:* [email protected] [
> mailto:[email protected] <[email protected]>
> ] *On Behalf Of *Stephen Paul King
> *Sent:* Monday, September 08, 2014 3:23 PM
> *To:* [email protected]
> *Subject:* Fish can communicate and UNDERSTAND each other!
>
>
> http://phenomena.nationalgeographic.com/2014/09/08/when-your-preys-in-a-hole-and-you-dont-have-a-pole-use-a-moray/
>
>
> I told you that most animals are less stupid than we might think :)
>
> Stupidity grows with competence. With a big brain and agile hands, you
> *can* blow up the planet.
>
> Intelligence if of type <>t.  You have <>t -> <> ~<>t.  Consistency
> entails the consistency of inconsistency.It is the basic roots of all our
> human and living-being problems. I think.
>
> I think that we can teach a planaria to move in a virtual environment, and
> this could be handy to study simple natural neural net. And copy them. Even
> for planaria (thousand of neurons, only 19 optical neuron entries)  we
> might copy them a long time before having a mathematical specification of
> the global functioning. The extreme regeneration power of the planaria is
> also helpful in the study of brain development.
>
> http://www.scholarpedia.org/article/Planaria_nervous_system
>
> or
>
> http://rstb.royalsocietypublishing.org/content/363/1500/2071.full
>
>
> n neuron machines can only support mathematical specification for m neuron
> machines when m is much less than n.
>
> Bruno
>
>
>
>
>
> --
>
> Kindest Regards,
>
> Stephen Paul King
>
> Senior Researcher
>
> Mobile: (864) 567-3099
>
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