Hi... 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? Personally I'm more familiar with connectionism and I'm looking for an AGI group to join. But I'm also open to other AI paradigms. YKY ____________________________________________________________ Find what you are looking for with the Lycos Yellow Pages http://r.lycos.com/r/yp_emailfooter/http://yellowpages.lycos.com/default.asp?SRC=lycos10 ------- To unsubscribe, change your address, or temporarily deactivate your subscription, please go to http://v2.listbox.com/member/[EMAIL PROTECTED]
