Russell Wallace wrote:
On 3/12/07, *Richard Loosemore* <[EMAIL PROTECTED]
<mailto:[EMAIL PROTECTED]>> wrote:
I'm still not quite sure if what I said came across clearly, because
some of what you just said is so far away from what I intended that I
have to make some kind of response.
Indeed it seems I'm still not understanding you...
I thought I did deny that approach already: I explained that I was
doing a huge reengineering of the existing body of knowledge in
cognitive science. Can you imagine how much structure there is in such
a thing? There are roughly 1,000 human experiments or AI simulations
accounted for in that structure, and all integrated in such a way that
it implies one over system framework (at least, that is the goal of the
project). That doesn't sound like Seed AI to me: it has both structure
in its architecture, and it also allows for some priming of its
knowledge base with 'hand-built' knowledge.
Is this huge structure intended to be part of/input to an AI program? If
so, then it needs a machine-readable representation. Since it is to be
built by humans, does that representation not also need to be
human-readable?
Ummm... is it the input? You mean, as in input *data* to an AI program?
Good god no. It *is* the program. It is the architecture of an AI.
(To be absolutely strict about it, this is a framework for a class of AI
systems, rather than a particular system itself, but the distinction is
not important in this context).
Regarding the use of readable names. The atomic units of knowledge in
the resulting system (the symbols, concepts, logical terms, whatever you
want to call them) are mostly built by the system itself, so they start
out without names that are chosen by me, obviously. However, they would
acquire descriptions after they were created .... these would be mostly
assigned in an automatic way, by a system monitor, but the experimenter
could make changes if they wished.
Richard Loosemore.
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