> I'm wondering how AGI designers view this issue. Usually > we think connectionist systems have the advantages of: > 1) generalization and > 2) graded / smooth response > among others. > > I assume Novamente is using a symbolic representation, > which may become a difficult problem to solve once the > AGI is "locked" into a certain framework. Or are there > some ways to get around those limitations in a symbolic > / Bayesian setting?
To be perfectly honest, connectionist versus symbolic has always come across as a strange dichotomy that seems to me would be a false dichotomy as well in any reasonable model. I don't see why a reasonable system couldn't be interpreted as either depending on how narrowly one wanted to slice their perspective. The "distinction without a difference" aspect of it for AGI design, at least as far as I can tell, makes the question irrelevant IMO. j. andrew rogers ------- To unsubscribe, change your address, or temporarily deactivate your subscription, please go to http://v2.listbox.com/member/[EMAIL PROTECTED]
