On Tue, Jun 13, 2006 at 04:15:35PM +0100, Russell Wallace wrote:

> Okay, to put it in a less facetious-sounding way: It is worth bearing in
> mind that biological neural nets are _very bad_ at syntactic symbol
> manipulation; consider the mindboggling sophistication and computing power
> in a dolphin's brain, for example, and note that it is completely incapable

Representing and manipulating formal system is a very recent component
in the fitness function, and hence not well-optimized.

> of doing any such thing. Even humans aren't particularly good at it: our
> present slow, simple, crude computers can do things like symbolic
> differentiation millions of times faster and more accurately than we can.

And how little it does help them to navigate reality.
 
> The point being, we tend to try to answer "how" questions by looking for
> simple, efficient methods - but biology suggests (albeit doesn't prove) that
> the reason we can't see a simple, efficient way for NNs to handle syntactic
> knowledge is that there isn't one; that researchers trying to use NNs or the
> like for AGI may have to bite the bullet and look for complex, expensive
> solutions to this problem.

The world is complicated. There are no simple solutions that work over
all domains in the real word.
 
> (My own reaction to this is the same as yours, incidentally: to go straight
> for symbolic mechanisms as fundamental components in the belief that this
> plays better to the strengths of digital hardware. That doesn't mean NNs

What are the strenghts of digital hardware, in your opinion?

> can't succeed, but it does suggest that they'll have to hit this problem
> head-on and resign themselves to throwing a lot of resources at it, in
> somewhat the same way that we on the symbolic side of the fence will have to
> resign ourselves to throwing a lot of resources at problems like visual
> perception.)

Human resources, or computational resources? If computational resources,
which architecture?

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Eugen* Leitl <a href="http://leitl.org";>leitl</a> http://leitl.org
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