This is also a problem in animal vision. Each eye is 2-D. (That is not entirely true, but from a practical point of view it is true.)
As far as flat land or hollywood land, we only live on the earth, so that means that you can't understand anything about space right? Well, your ideas about the universe probably contain many errors, but you can still reason about what space is like none the less. Oh, you can see the stars and feel the sun, so that is what makes it possible for you to think about space? Does that honestly sound reasonable? The blind can't think about space then because they can't see the stars. Is that honestly how you think the mind works? The error is that the methods of reasoning are being conflated with knowledge. Again, there is a case to be made that we have to consider examples in order to derive generalizations about the methods of reasoning, and this conflation is to some extent the reality. But the idea that human thinking is absolutely dependent on, say, the knowledge of buildings is obviously inaccurate. Similarly the theory that interaction with the real world is necessary for agi to emerge is made only from the commonality of ignorance. We don't know how to do it yet, so no relevant possibility can be completely ruled out. Jim Bromer On Thu, Aug 14, 2008 at 7:23 AM, Bob Mottram <[EMAIL PROTECTED]> wrote: > 2008/8/14 Mike Tintner <[EMAIL PROTECTED]>: >> What it comes down to is: what can you learn about any object[s] from flat >> drawings of them? Cardboard cutouts? > > > This is essentially the same problem as in computer vision. The > objects that you're looking at are three dimensional, but a camera > image is only a two dimensional shadow of them. The problem then > becomes one of trying to reverse engineer the 3D shape from a set of > lower dimensional shadows. Many researchers in computational vision > forget about this and try to directly scrape information exclusively > in 2D. For objects which are flat, such as a painting or the cover of > a book, this approach works well (see the vision systems from > evolution robotics and skilligent) but on things which have > significant 3D structure performance usually degrades significantly. > > > ------------------------------------------- > agi > Archives: https://www.listbox.com/member/archive/303/=now > RSS Feed: https://www.listbox.com/member/archive/rss/303/ > Modify Your Subscription: https://www.listbox.com/member/?&; > 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/ Modify Your Subscription: https://www.listbox.com/member/?member_id=8660244&id_secret=111637683-c8fa51 Powered by Listbox: http://www.listbox.com
