On whether NLU is AGI-complete, it really depends on the particulars of the
definition of NLU ... but according to my own working definition of NLU I
agree that it isn't ...

However, as I stated before, within any vaguely mammalian-brain-like AI
architecture, I do suspect that achieving NLU is AGI-complete...

-- Ben G


On Thu, Oct 23, 2008 at 10:12 AM, Dr. Matthias Heger <[EMAIL PROTECTED]>wrote:

>  I do not agree. Understanding a domain does not imply the ability to
> solve problems in that domain.
>
> And the ability to solve problems in a domain even does not imply to have a
> generally a deeper understanding of that domain.
>
>
>
> Once again my example of the problem to find a path within a graph from
> node A to node B:
>
> Program p1 (= problem solver) can find a path.
>
> Program p2  (= expert in understanding) can verify and analyze paths.
>
>
>
> For instance, p2 could be able compare the length of the path for the first
> half of the nodes with the length of the path for the second half of the
> nodes. It is not necessary that  P1 can do this as well.
>
>
>
> P2 can not necessarily find a path. But p1 can not necessarily analyze its
> solution.
>
>
>
> Understanding  and problem solving are different things which might have a
> common subset but it is wrong that the one implies the other one or vice
> versa.
>
>
>
> And that's the main reason why natural language understanding is not
> necessarily AGI-complete.
>
>
>
> -Matthias
>
>
>
>
>
> Terren Suydam [mailto:[EMAIL PROTECTED]  wrote:
>
>
>
>
> Once again, there is a depth to understanding - it's not simply a binary
> proposition.
>
> Don't you agree that a grandmaster understands chess better than you do,
> even if his moves are understandable to you in hindsight?
>
> If I'm not good at math, I might not be able to solve y=3x+4 for x, but I
> might understand that y equals 3 times x plus four. My understanding is
> superficial compared to someone who can solve for x.
>
> Finally, don't you agree that understanding natural language requires
> solving problems? If not, how would you account for an AI's ability to
> understand novel metaphor?
>
> Terren
>
> --- On *Thu, 10/23/08, Dr. Matthias Heger <[EMAIL PROTECTED]>* wrote:
>
> From: Dr. Matthias Heger <[EMAIL PROTECTED]>
> Subject: [agi] Understanding and Problem Solving
> To: agi@v2.listbox.com
> Date: Thursday, October 23, 2008, 1:47 AM
>
> Terren Suydam wrote:
>
> >>>
>
> Understanding goes far beyond mere knowledge - understanding *is* the
> ability to solve problems. One's understanding of a situation or problem is
> only as deep as one's (theoretical) ability to act in such a way as to
> achieve a desired outcome.
>
> <<<
>
>
>
> I disagree. A grandmaster of chess can explain his decisions and I will
> understand them. Einstein could explain his theory to other physicist(at
> least a subset) and they could understand it.
>
>
>
> I can read a proof in mathematics and I will understand it – because I only
> have to understand (= check) every step of the proof.
>
>
>
> Problem solving is much much more than only understanding.
>
> Problem solving is the ability to **create** a sequence of actions to
> change a system's state from A to a desired state B.
>
>
>
> For example: Problem Find a path from A to B within a graph.
>
> An algorithm which can check a solution and can answer details about the
> solution is not necessarily able to find a solution.
>
>
>
> -Matthias
>
>
>
>
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-- 
Ben Goertzel, PhD
CEO, Novamente LLC and Biomind LLC
Director of Research, SIAI
[EMAIL PROTECTED]

"A human being should be able to change a diaper, plan an invasion, butcher
a hog, conn a ship, design a building, write a sonnet, balance accounts,
build a wall, set a bone, comfort the dying, take orders, give orders,
cooperate, act alone, solve equations, analyze a new problem, pitch manure,
program a computer, cook a tasty meal, fight efficiently, die gallantly.
Specialization is for insects."  -- Robert Heinlein



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