Re: [singularity] Vista/AGI

2008-04-14 Thread MI
On Sun, Apr 13, 2008 at 10:27 PM, Ben Goertzel [EMAIL PROTECTED] wrote:
 Hi,


Just my personal opinion...but it appears that the exponential technology
   growth chart, which is used in many of the briefings, does not include
   AI/AGI. It is processing centric.  When you include AI/AGI the exponential
   technology curve flattens out in the coming years (5-7) and becomes part 
 of
   a normal S curve of development.  While computer power and processing will
   increase exponentially (as nanotechnology grows) the area of AI will need
   more time to develop.
  
I would be interested in your thoughts.

  I think this is because progress toward general AI has been difficult
  to quantify
  in the past, and looks to remain difficult to quantify into the future...

  I am uncertain as to the extent to which this problem can be worked around,
  though.

  Let me introduce an analogy problem

  Understanding the operation of the brain better and better is to
  scanning the brain with higher and higher spatiotemporal accuracy,
  as Creating more and more powerful AGI is to what?

  ;-)

  The point is that understanding the brain is also a nebulous and
  hard-to-quantify goal, but we make charts for it by treating brain
  scan accuracy as a more easily quantifiable proxy variable.  What's a
  comparable proxy variable for AGI?

  Suggestions welcome!

Being able to abstract and then implement only those components and
mechanisms relevant to intelligence from all the data these better
brain scans provide?

If intelligence can be abstracted into layers (analogous to network
layers), establishing a set of performance indicators at each layer
and then increasing the values corresponding to these indicators
might probably provide a better measure of AGI's progress. Using that
model, increments of progress might then be much easier to identify,
verify and communicate even for the smallest increments.

Slawek

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Re: [singularity] Vista/AGI

2008-04-14 Thread Ben Goertzel
Brain-scan accuracy is  a very crude proxy for understanding of brain
function; yet a much better proxy than anything existing for the case
of AGI...

On Sun, Apr 13, 2008 at 11:37 PM, Richard Loosemore [EMAIL PROTECTED] wrote:

 Ben Goertzel wrote:

  Hi,
 
 
Just my personal opinion...but it appears that the exponential
 technology
   growth chart, which is used in many of the briefings, does not include
   AI/AGI. It is processing centric.  When you include AI/AGI the
 exponential
   technology curve flattens out in the coming years (5-7) and becomes
 part of
   a normal S curve of development.  While computer power and processing
 will
   increase exponentially (as nanotechnology grows) the area of AI will
 need
   more time to develop.
  
I would be interested in your thoughts.
  
 
  I think this is because progress toward general AI has been difficult
  to quantify
  in the past, and looks to remain difficult to quantify into the future...
 
  I am uncertain as to the extent to which this problem can be worked
 around,
  though.
 
  Let me introduce an analogy problem
 
  Understanding the operation of the brain better and better is to
  scanning the brain with higher and higher spatiotemporal accuracy,
  as Creating more and more powerful AGI is to what?
 
  ;-)
 
  The point is that understanding the brain is also a nebulous and
  hard-to-quantify goal, but we make charts for it by treating brain
  scan accuracy as a more easily quantifiable proxy variable.  What's a
  comparable proxy variable for AGI?
 
  Suggestions welcome!
 

  Sadly, the analogy is a wee bit broken.

  Brain scan accuracy as a measure of progress in understanding the operation
 of the brain is a measure that some cognitive neuroscientists may subscribe
 to, but the majority of cognitive scientists outside of that area consider
 this to be a completely spurious idea.

  Doug Hofstadter said this eloquently in I Am A Strange Loop:  getting a
 complete atom-scan in the vicinity of a windmill doesn't mean that you are
 making progress toward understanding why the windmill goes around. It just
 gives you a data analysis problem that will keep you busy until everyone in
 the Hot Place is eating ice cream.




  Richard Loosemore



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-- 
Ben Goertzel, PhD
CEO, Novamente LLC and Biomind LLC
Director of Research, SIAI
[EMAIL PROTECTED]

If men cease to believe that they will one day become gods then they
will surely become worms.
-- Henry Miller

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Re: [singularity] Vista/AGI

2008-04-14 Thread Charles D Hixson

MI wrote:

...
Being able to abstract and then implement only those components and
mechanisms relevant to intelligence from all the data these better
brain scans provide?

If intelligence can be abstracted into layers (analogous to network
layers), establishing a set of performance indicators at each layer
and then increasing the values corresponding to these indicators
might probably provide a better measure of AGI's progress. Using that
model, increments of progress might then be much easier to identify,
verify and communicate even for the smallest increments.

Slawek
  

Abstracting away the non-central-to-AI parts of the brain isn't necessary.

Try it this way (a possible, if not plausible path to AI).
1) Artificial knee/hip joints
2) Artificial corneas
3) Artificial retinas
4) Artificial cochlea
5) Artificial vertebrae
6) Nerve welds to rejoin severed spinal nerves
7) Artificial nerves
8) Artificial nerve welds to repair severed optic/aural nerves
9) Artificial visual or audio cortex
10) Repair of stroke damaged nerves
11) Replacement of damaged portions of the brain with artificial 
replacements (Hippocampus, etc.)

12) Repair of damaged brains in infants (birth defects)
13) continue on with gradually more significant replacements...at some 
point you'll hit an AGI.


P.S.:  I think this is a workable approach, but one that will 
materialize too slowly to dominate.  Still, we're already working on 
steps 2, 3, 4,  5.  Possibly also 6.



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