Well, the main disadvantage of not representing knowledge is that
doing so makes you completely unintelligent ;-) [Of course, whether
or not this is really a disadvantage is a philosophical question, I
suppose. It has been said that "ignorance is bliss" ... ]
Seriously: Do you mean to suggest that some intelligent systems
*don't* contain any (even implicit) representation of knowledge?
I have seen this claim made by some advocates of
self-organizing-systems approaches to building and analyzing
intelligent systems, but I have always felt it to be a kind of "game
with words"... (Feel free to argue otherwise, though!)
IMO, all intelligent systems represent knowledge internally in some
sense, and the right question is what methods are best (in what
senses) for doing so....
For instance, in an attractor neural net, each piece of knowledge is
stored in a wholly distributed way, interpenetrated with other pieces
of knowledge. In a traditional semantic net OTOH, pieces of knowledge
are stored separately and distinctly without interpenetration. In
Novamente's hybrid design there is both a distinct and an
interpenetrative/holistic aspect to knowledge representation. The
advantages and disadvantages of these different KR strategies may be
subtle to understand...
-- Ben G
On 5/30/06, Danny G. Goe <[EMAIL PROTECTED]> wrote:
Can someone elaborate on the advantages and disadvantages of Knowledge
Representation(KR)?
Dan Goe
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