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/303/21088071-c97d2393 Modify Your Subscription: https://www.listbox.com/member/?member_id=21088071&id_secret=21088071-2484a968 Powered by Listbox: http://www.listbox.com
