> From: Ben Goertzel [mailto:[EMAIL PROTECTED]
> 
> As Ben has pointed out language understanding is useful to teach AGI.
> But if
> we use the domain of mathematics we can teach AGI by formal expressions
> more
> easily and we understand these expressions as well.
> 
> - Matthias
> 
> 
> That is not clear -- no human has learned math that way.
> 
> We learn math via a combination of math, human language, and physical
> metaphors...
> 
> And, the specific region of math-space that humans have explored, is
> strongly biased toward those kinds of math that can be understood via
> analogy to physical and linguistic experience
> 
> I suggest that the best way for humans to teach an AGI math is via
> first giving that AGI embodied, linguistic experience ;-)
> 
> See Lakoff and Nunez, "Where Mathematics Comes From", for related
> arguments.
> 

That's one of the few books that I have purchased. It's good for showing the
human experience with math, how our version of math is like a scratchpad of
systematic conceptual analogies. Fine. But the book doesn't really open it
up it kinda just talks about math being a product of us. I wanted more.

But the collection of math created by humans over time is the best that
evolution has to offer. One human mind can barely comprehend a small subset
of it. When you talk about teaching an AGI math it throws me off because
using our math from the getgo, giving the AGI that to start off with, IMO,
throws it over an initial humongous computational energy threshold that it
would have to get around someway or another if it didn't start out with it.

I suppose you may be building a substrate than can be taught math and then
take it from there. The substrate being AGI hypergraphs and operating agents
on them. Why not build the math into the substrate from the start? 

Teaching AGI sounds so laborious, it should just learn. Unless you are
talking about RSI'ing the math into the core....

John



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