Naoya, before a neural system learns patterns, it has to make them. All our sensory organs receive patchworks, not patterns. Hofstadter said it: "The central problem of AI is how to start from 100 million dots of light on your retina and end with 'Hi, mom' in 0.5 sec?" The brain generates a pattern, and keeps it in store for further use. The pattern is an invariant representation. But how does it generate that pattern in the first place? The assumption that a computer program will do what a physical system does is not correct. You have to simulate it first. And to do that, you need to know how the invariant representations come into existence. From what you say, you don't.
I have devoted a considerable amount of work to precisely that problem, generating invariant trepresentations. It is very recent, so it is not widely yet. Sergio -----Original Message----- From: ARAKAWA Naoya [mailto:[email protected]] Sent: Friday, July 20, 2012 9:10 PM To: AGI Subject: Re: [agi] Re: How the Brain Works -- new H+ magazine article, by me On 2012/07/21, at 4:59, Mike Tintner wrote: > Sergio: I noticed that Jeff Hawkins in On Intelligence writes about > "invariant representations," which are hierarchies, but never explains > how they come into existence. I am just a little confused. > I wonder whether you have an outstanding point there. Everyone > *talks* about "invariant representations". Does anyone anywhere have > any AI-worthy explanation of their nature/origin whatsoever? > > (Of course, invariant representations overlap with concepts. There are > psych/phil. explanatory theories of concepts, but that's why I put in > "AI-worthy". I suspect they are all v. vague). I interpreted "invariant representations" in the writing of Hawkins as learned patterns. When a neural system learns some pattern, say that of a line segment, it recognizes line segments regardless of their orientation or length (hence 'invariant"). "Invariant representations" in a neural network would be distributed so that one cannot point out saying, for example, *this* is the representation of a line segment... * The Gibsonian invariance might be a different notion while he may have made the term popular among cognitive scientists (?). -- Naoya ARAKAWA ------------------------------------------- AGI Archives: https://www.listbox.com/member/archive/303/=now RSS Feed: https://www.listbox.com/member/archive/rss/303/18883996-f0d58d57 Modify Your Subscription: https://www.listbox.com/member/?& d2 Powered by Listbox: http://www.listbox.com ------------------------------------------- AGI Archives: https://www.listbox.com/member/archive/303/=now RSS Feed: https://www.listbox.com/member/archive/rss/303/21088071-c97d2393 Modify Your Subscription: https://www.listbox.com/member/?member_id=21088071&id_secret=21088071-2484a968 Powered by Listbox: http://www.listbox.com
