Ben said:
However, we need to
remember that the knowledge in an AGI should be *experientially
grounded*.
. . . but it needs to turn this
knowledge into knowledge by crosslinking a decent fraction of it
with
perceptual and procedural patterns . .
.
Can a color-blind man
On Wed, 21 Jan 2004, Eric Baum wrote:
New Book:
What is Thought?
Eric B. Baum
What a great book.
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Thanks Bill for the Eric Baum reference.
Deep thinker that I am, I've just read the book review on Amazon and
that has orientated me to some of the key ideas in the book (I hope!) so
I'm happy to start speculating without having actually read the book.
(See the review below.)
It seems
I
agree that not all knowledge in a mind needs to be grounded.
However, I think that a mind needs to have a LOT of grounded knowledge,
in order to learn to reason usefully. It can then transfer some of the
thinking-ability (and some of the concrete relationships) learned on the
grounded
Philip,
I have
mixed feelings on this issue (filling an AI mind with knowledge from
DB's).
I'd
prefer to start with a tabula rasa AI and have it learn everything via
sensorimotor experience -- and only LATER experiment with feeding DB knowledge
directly into its knowledge-store
It seems that Baum is arguing that biological minds are amazingly quick
at making sense of the world because, as a result of evolution, the
structure of the brain is set up with inbuilt limitations/assumptions
based on likely possibilities in the real world - thus cutting out vast
areas for
Philip,
I think it's important for a mind to master SOME domain (preferably more
than one), because advanced and highly effective cognitive schemata are only
going to be learned in domains that have been mastered. These cognitive
schemata can then be applied in other domains as well, which are
Philip,
You and I have chatted a bit about the role of simulation in cognition, in
the past. I recently had a dialogue on this topic with a colleague (Debbie
Duong), which I think was somewhat clarifying. Attached is a message I
recently sent to her on the topic.
-- ben
Debbie,
Let's
Hi Ben,
So, I am skeptical that an AI can really think effectively in ANY
domain unless it has done a lot of learning based on grounded
knowledge in SOME domain first; because I think advanced cognitive
schemata will evolve only through learning based on grounded
knowledge...
OK. I think
So my guess is that the fastest (and still effective) path to learning
would be:
- *first* a partially grounded experience
- *then* a fully grounded mastery
- then a mixed learning strategy of grounded and non-grounded as need
and oportunity dictates
Cheers, Philip
Well, this
Hi Ben,
What you said to Debbie Duong sound intuitively right to me. I think
that most human intuition would be inferential rather than a simulation.
but it seems that higher primates store a huge amount of data on the
members of their clan - so my guess is that we do a lot of simulating of
Hi Ben,
Well, this appears to be the order we're going to do for the Novamente
project -- in spite of my feeling that this isn't ideal -- simply due
to the way the project is developing via commercial applications of the
half-completed system. And, it seems likely that the initial
What you said to Debbie Duong sound intuitively right to me. I think
that most human intuition would be inferential rather than a simulation.
but it seems that higher primates store a huge amount of data on the
members of their clan - so my guess is that we do a lot of simulating of
the
Hi Ben,
Maybe we do simulate a *bit* more with out groups than I first thought -
but we do it using caricature stereotypes based on *ungrounded* data -
ie. we refuse to use grounded data (from our ingroup), perhaps, since
that would make these outgroup people uncomfortably too much like
us.
From: Ben Goertzel [EMAIL PROTECTED]
Well, this appears to be the order we're going to do for the Novamente
project -- in spite of my feeling that this isn't ideal -- simply due to the
way the project is developing via commercial applications of the
half-completed system. And, it seems likely
Well, this appears to be the order we're going to do for the Novamente
project -- in spite of my feeling that this isn't ideal -- simply due
to the way the project is developing via commercial applications of the
half-completed system. And, it seems likely that the initial
partially
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