> > Brad wrote: > >> I know you are all probably getting sick of me talking about how all of > >> this is complicated, but it really is. Hearing that inflating > the cortex > >> is a "trivial parameter" grates on me terribly. > > > > Brad, I agree with you re human brains, but of course there is a big > > difference between engineered AI systems and human brains in > this regard. > > > Agreed, that whole email was concerning his comments about augmenting > human brains, and was a bit off track for this list. My apologies.
Nah, discussions of cognitive neuroscience are definitely allowed on this list -- no problems there! I just wanted to make clear the distinction between evolved & engineered systems, yet again (OK, I may be sounding like a broken record on this point...) > > We can engineer our AI systems specifically so that adding more > processor > > and memory WILL simply increase their intelligence, without a lot of > > complications and hassles.... Novamente is designed this way. > > > > You are correct about physical/architechtural hassles, but I'm > not so sure > about mental hassles. I can imagine functional complications that result > from having too much unstructured room to play in. As a simple > analogy, I > recall that Principal Component Analysis can fail to give you useful > results if you allow it to use too many dimensions. Brad, you are right about PCA -- but that's because PCA is *not* designed for unbounded intelligence! Of course, not ALL AI algorithms will intrinsically perform better with more and more memory and processing power. But in sculpting an AGI system, we should take care to choose those that do! A good example, actually, is evolutionary programming (of the classic or Bayesian-Optimization varieties). The bigger the population size, the better it works. Period. And the technique can solve unboundedly difficult problems as population size increases. Of course, evolutionary programming is not in itself a valid AGI approach, because to confront hard problems the population-size requirements are just too much. But I raise this as a simple example of an algorithm whose performance scales unproblematically with increased computational resources.... Novamente is more complex than an evolutionary algorithm, but it has the same property of unproblematic scaling -- by design... -- Ben ------- To unsubscribe, change your address, or temporarily deactivate your subscription, please go to http://v2.listbox.com/member/[EMAIL PROTECTED]
