My development of a correspondence between NARS and probability (or,
more specifically, my attempt to embed NARS in probability theory) has
been stalled for a while, so I'm posting what I've come up with so
far. I had planned on doing this sooner, but other events
intervened... some of the
And here is your first question on AGI.. actually rather on AI. It's not so
trivial though.
Some researchers are telling me that no-one has actually figured out how AI
algorithms, such as ANNs and genetic algorithms work.. in other words there
is no mathematical explanation to prove their
There are a lot of mathematical proofs of convergence of ANN's and GA's,
just look for the original papers about them. IOW, everything contradicts
that.
=
Rafael C.P.
=
On Wed, Oct 8, 2008 at 6:36 PM, Valentina Poletti [EMAIL PROTECTED]wrote:
And here is your first question on
http://www.cs.utoronto.ca/~ilya/pubs/2007/inf_deep_net_utml.pdf
Enjoy.
Trent
---
agi
Archives: https://www.listbox.com/member/archive/303/=now
RSS Feed: https://www.listbox.com/member/archive/rss/303/
Modify Your Subscription:
On Thu, Oct 9, 2008 at 1:36 AM, Valentina Poletti [EMAIL PROTECTED] wrote:
And here is your first question on AGI.. actually rather on AI. It's not so
trivial though.
Some researchers are telling me that no-one has actually figured out how AI
algorithms, such as ANNs and genetic algorithms
For neural nets, Daniel Amit had a good book in the 80's reviewing the
dynamics
of attractor neural nets ...
However, it is true that math does not really tell you what you need to know
about
AGI systems ...
Math is more helpful for various sorts of narrow-AI systems, some of which
are useful
as
The more recent work by G. E. Hinton brought here by Ed Porter is very
interesting mathematically (if you go into the details of trying to
argument why it works -- probabilistic modeling a la graphical
models).
On Thu, Oct 9, 2008 at 12:32 AM, Ben Goertzel [EMAIL PROTECTED] wrote:
For neural