Yep. Novamente contains particular mechanisms for converting between
declarative and procedural knowledge... something that is learned
procedurally can become declarative and vice versa. In fact, if all goes
according to plan (a big if of course ;) Novamente should *eventually* be
much
Hi,
I disagree that we have a problem converting procedural to
declarative for all domains.
Sure, you're right. Here as in many other areas, the human brain's
performance is highly domain-variant.
That said, Novamente would be far better at it than we. With the
ability to understand it's
Indeed, making the declarative knowledge derived from rattling off
parameters describing procedures useful is a HARD problem... but at least
Novamente can get the data, which as you have greed, would seem to give AI
systems an in-principle advantage over humans in this area...
It's hard
Yes, getting this data is what the entire field of neurophys is
about. Being able to extract it without using surgery,
electrodes, amplifiers, and gajillions of manhours would be
outstanding. A lack of data is the primary thing holding
neuroscience back and to a large degree, the depth of
That was exactly my impression when I last looked seriously into
neuroscience (1995-96). I wanted to understand cognitive dynamics, and I
hoped that tech like PET and fMRI would do the trick. But nothing existing
giving the combination of temporal and spatial acuity that you'd need to
I actually have a big MEG datafile on my hard drive, which I haven't gotten
around to playing with.
It consists of about 120 time series, each with about 100,000 points in it.
It represents the magnetic field of someone's brain, measured through 120
sensors on their skull, while they
We need one of the technologies to evolve to the point where it delivers
decent spatial AND temporal resolution...
That's exactly what I meant actually: combined FMRI and MEG
within the same experiment. You get data from each
simultaneously and combine them afterwards, using the
Just to pick a point, Eliezer defines Seed AI as Artificial
Intelligence designed for self-understanding, self-modification, and
recursive self-enhancement. I do not agree with you that pure Seed AI
is a know-nothing baby.
I was perhaps a bit extreme in my word choice, but I do not believe
On Wed, 26 Feb 2003, Ben Goertzel wrote:
Cyc seems moderately strong on declarative knowledge (though I think it
misses most of the fine-grained declarative knowledge that helps us cope
with the real world... it focuses on relatively abstract levels of
declarative knowledge...)
Agreed on the
Well, in principle, Novamente is intended to be able to learn from zippo --
i.e. NO explicitly encoded knowledge.
However, the architecture does support the loading-in of prefab knowledge.
Whether, and in what ways, it is possible to introduce prefab knowledge into
a learning AGI system, without
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