Could you say that it takes a complex system to know a complex system? If an AGI is going to try to say predict the weather, it doesn't have infinite cpu cycles to simulate so it'll have to come up with something better. Sure it can build a probabilistic historical model but that is kind of cheating. So for it to emulate the weather, I think, or to semi-understand it there has to be some complex systems activity going on there in its cognition. No?
I'm not sure that this what Richard is taking about but an AGI is going to bump into complex systems all over the place. Also it will encounter what seems to be complex and later on it may determine that it is not. And perhaps, a key component in the cognition engine in order for it to understand complexity differentials in systems from a relationist standpoint it would need some sort of complexity .. not a comparator but a...sort of harmonic leverage. Can't think of the right words.... Either way this complexity thing is getting rather annoying because on one hand you think it can drasticly enhance an AGI and is required and on the other hand you think it is unnecessary - I'm not talking about creativity or thought emergence or similar but complexity as integral component in a computational cognition system. John ------------------------------------------- agi Archives: http://www.listbox.com/member/archive/303/=now RSS Feed: http://www.listbox.com/member/archive/rss/303/ Modify Your Subscription: http://www.listbox.com/member/?member_id=8660244&id_secret=106510220-47b225 Powered by Listbox: http://www.listbox.com
