Ben> The issue is: how might NNs effectively represent abstract Ben> knowledge?
... Ben> So far as I know none of the brain-emulating would-be-AGI Ben> architectures I have seen address this issue very well. Hawkins' Ben> architecture, for instance, doesn't really tell you how to Ben> represent and manipulate an abstract function with variables... Ben> Say, a category like "people who have the property that there is Ben> exactly one big scary thing they are afraid of." How does the Ben> brain represent this? How would a useful formal neural net model Ben> represent this? Ben, I'd point you to Les Valiant's book Circuits of the Mind for a serious attempt to answer precisely such questions. It's been years since I read it, and my recollection is hazy, so I won't attempt much of a summary. The book posits units of several (hundred?) neurons called neuroids that act as finite state machines with various properties, and then gives algorithms by which the whole system could be programmed to learn, for example, concepts of exactly the type you ask. ------- To unsubscribe, change your address, or temporarily deactivate your subscription, please go to http://v2.listbox.com/member/[EMAIL PROTECTED]
