Excellent topic. During every action potential every neuron *solves* an
n-body problem analog ‘doing’/ execution and the  information is
electrically carried and integrated in the brain
http://neuroelectrodynamics.blogspot.com/p/spike-directivity.html  *The
fundamental process of computation by physical interaction in the brain has
been widely misunderstood*.

Dorian

On Thu, Jun 28, 2012 at 7:05 AM, Peter Voss <[email protected]> wrote:

> This issues has bothered me for a long time, and I’d like to explore it a
> bit:****
>
> ** **
>
> While digital computers obviously can be set up to solve equations, there
> still seems to be a significant difference in efficiency of simulating/
> calculating versus physical analog ‘doing’/ execution – like for example in
> solving an n-body problem.  Real systems system just produce the result by
> interaction of all the forces (electro/ mechanical), while computers have
> to approximate/ iterate. ****
>
> ** **
>
> Key question: Are there AGI common problems where digital/simulated
> approaches need hyper-exponential amounts of computing power compared to
> physical systems? Is this kind of equation-solving core to AGI?  I don’t
> think so, but…****
>
> ** **
>
> Other may be able to formulate this better. ****
>
> ** **
>
> What has bothered me is the glib assertion that a digital computer an
> calculate to any arbitrary level of precision (true)…  but does the cost
> become unworkable in practice, even with Moore’s law.****
>
> ** **
>
> Peter****
>
> ** **
>
> *From:* Steve Richfield [mailto:[email protected]]
> *Sent:* Thursday, June 28, 2012 6:39 AM
> *To:* AGI
> *Subject:* Re: [agi] Happy 100th Birthday Alan Turing - No, computers
> will never think, but machines will!****
>
> ** **
>
> Hey everyone,
>
> Remember my discussions about how computers fundamentally compute
> functions, while biological neurons appear to fundamentally solve equations
> - a MUCH higher level thing to do. It appears possible to design something
> resembling a computer to do this, but NOT to simulate this sort of
> functionality in any sort of practical way because of the astronomical
> inefficiency of solving huge systems of simultaneous NON-linear equations
> using conventional computational methods.
>
> No, I don't think that we need any sort of silicon wetware, but we DO
> appear to need a radically more advanced sort of "computer", but probably
> NOT anything that Turing has ever thought of - in short, NOT a "Turing
> machine".
>
> Besides, you'll never get 2-D silicon to work like 3-D wetware.
>
> Steve
> ================****
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