MIke, > How would your approach replicate the classic visual problem for infants of: > where has the toy car gone? (when the parent puts it behind a box} - and oh > look, it's still there, when the parent takes away the box ?
Not sure why you think that learning "object permanence" via experience would be hard for any probabilistic learning system.... That is pretty elementary probabilistic reasoning, after the infant sees a few examples of previously obscured objects still being there... > The first idea that my recent musings suggest about looking at any scene - > is that the first thing a real world agent must look for in any scene, is > what is moving - because that is the greatest source of both potential > danger and interest. Salience detection is a well known component of computer vision systems, and ironically (in light of your negative view of probability theory) is often handled using information-theoretic methods (which involve logarithms of probabilities..) -- Ben ------------------------------------------- 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
