RE: When does it pay to play (lottery)?

From: Ben Goertzel (ben@goertzel.org)
Date: Mon Jan 24 2005 - 15:05:23 MST


Eliezer,

You wrote:
> > We know with great detail that Cyc, SOAR and GP (to name three AI
> > systems/frameworks) will not result in an AI system capable of
> hard takeoff.
> >
> > And, we know this with MORE certainty than we know that no one
> now knows how
> > to build a ladder to Andromeda.
>
> If by GP you mean genetic programming, then natural selection coughed up
> human intelligence starting with considerably less sophistication (and
> certainly less direction) than at least some modern-day GP frameworks.

I'm sorry, Eli, but on this point you're extremely wrong. The subtlety and
sophistication of the human genetic and proteomic apparatus exceeds that of
any existing genetic programming technology by very many orders of
magnitude. Having extensively used GP to analyze human genetics data
(www.biomind.com), I'm very well-positioned to make judgments on this
particular matter.

Roughly speaking you could say that: Genetic Algorithms and Genetic
Programming are to natural evolution, as backpropagation neural nets or
Hopfield neural nets are to the human brain. GA/GP's are not going to do
what natural evolution did, any more than a backprop NN is going to display
the intelligence of a human neuronal network.

-- Ben



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