Hi. Thanks for your interest, Danko. My two cents is:
"No Free Lunch" theorems are weakly associated with Legg's proof - since both are to do with limits on optimization theory. However, "No Free Lunch" theorems are not much of a barrier to machine intelligence - since we know that the world is structured via Occam's razor, and so optimization problems we might face are not drawn form a uniform distribution. Regarding the idea that human understanding represents a barrier to development of machine intelligence - again, there's obviously some truth in this (or we would be done by now) - but the understanding of one human is fairly easily overcome via collective intelligence by slapping a bunch of them together - or by augmenting their intelligence using machines. So there isn't really much of an absolute barrier there. Machine intelligence headlines are dominated by neural nets today - but it is quicker to scale via making multiple copies than it is by trying to make a neural net bigger. That means that we will have a society of agents - and that their rules of interaction will be important. We see this today since we have computers and we have the internet - and the internet is quite important to the overall dynamics. The rules of evolving societies are what students of cultural evolution look at - so hopefully this fledgeling science will be able to contribute to the political and economic processes that will shape civilization long after we have squeezed what juice we can out of making bigger and better neural networks. -- __________ |im Tyler http://timtyler.org/ [email protected] ------------------------------------------- AGI Archives: https://www.listbox.com/member/archive/303/=now RSS Feed: https://www.listbox.com/member/archive/rss/303/21088071-f452e424 Modify Your Subscription: https://www.listbox.com/member/?member_id=21088071&id_secret=21088071-58d57657 Powered by Listbox: http://www.listbox.com
