> > The human visual system doesn't evolve like that on the fly. This can be > proven by the fact that we all see the same visual illusions. We all exhibit > the same visual limitations in the same way. There is much evidence that the > system doesn't evolve accidentally. It has a limited set of rules it uses to > learn from perceptual data. >
That is not a proof, of course. It could be that given a general architecture, and inputs with certain statistical properties, the same internal structures inevitably self-organize > > I think a more deliberate approach would be more effective because we can > understand why it does what it does, how it does it, and why its not working > if it doesn't work. With such deliberate approaches, it is much more clear > how to proceed and to reuse knowledge in many complementary ways. This is > what I meant by "emergence". I understand the general concept. I am reminded a bit of Poggio's hierarchical visual cortex simulations -- which do attempt to emulate the human brain's specific processing, on a neuronal cluster and inter-cluster connectivity level However, Poggio hasn't yet solved the problem of making this kind of deliberately-engineered hierarchical vision network incorporate cognition==> perception feedback. At this stage it seems basically a feedforward system. So I'm curious -- what are the specific pattern-recognition modules that you will put into your system, and how will you arrange them hierarchically? -- how will you handle feedback connections (top-down) among the modules? thx ben ------------------------------------------- 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=8660244-6e7fb59c Powered by Listbox: http://www.listbox.com
