> From: Matt Mahoney [mailto:[EMAIL PROTECTED]
> > > From: Matt Mahoney [mailto:[EMAIL PROTECTED]
> > >
> > > By "equivalent computation" I mean one whose behavior is
> > > indistinguishable
> > > from the brain, not an approximation.  I don't believe that an exact
> > > simulation requires copying the implementation down to the neuron
> level,
> > > much
> > > less the molecular level.
> > >
> >
> > So how would you approach constructing such a model? I suppose a
> superset
> > intelligence structure could analyze properties and behaviors of a
> brain and
> > simulate it within itself. If it absorbed enough data it could
> reconstruct
> > and eventually come up with something close.
> 
> Well, nobody has solved the AI problem, much less the uploading problem.
> Consider the problem in stages:
> 
> 1. The Turing test.
> 
> 2. The "personalized" Turing test.  The machine pretends to be you and
> the
> judges are people who know you well.
> 
> 3. The "planned, personalized" Turing test.  You are allowed to
> communicate
> with judges in advance, for example, to agree on a password.
> 
> 4. The "embodied, planned, personalized" Turing test.  Communication is
> not
> restricted to text.  The machine is planted in the skull of your clone.
> Your
> friends and relatives have to decide who has the carbon-based brain.
> 
> Level 4 should not require simulating every neuron and synapse.  Without
> the
> constraints of slow, noisy neurons, we could use other algorithms.  For
> example, low level visual processing such as edge and line detection
> would not
> need to be implemented as a 2-D array of identical filters.  It could be
> implemented serially by scanning the retinal image with a window filter.
> Fine
> motor control would not need to be implemented by combining thousands of
> pulsing motor neurons to get a smooth average signal.  The signal could
> be
> computed numerically.  The brain has about 10^15 synapses, so a
> straightforward simulation at the neural level would require 10^15 bits
> of
> memory.  But cognitive tests suggest humans have only about 10^9 bits of
> long
> term memory, suggesting that more compressed representation is possible.
> 
> In any case, level 1 should be sufficient to argue convincingly that
> either
> consciousness can exist in machines, or that it doesn't in humans.



These tests still though are very subjective, nothing exact.

Is there really a bit per synapse? Is representing a synapse with a bit an
accurate enough simulation? One synapse is a very complicated system.

John







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singularity
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