The Fisher-Rao metric measures the distance between two probability distributions
An individual memory state M corresponds to a certain distribution over memory states -- this is the distribution indicating how active each other memory state is, when you activate M Note, this is not a way of building an AGI, it's a way of modeling and understanding a mind... ben On Wed, Oct 31, 2012 at 6:27 PM, YKY (Yan King Yin, 甄景贤) < [email protected]> wrote: > Hi Ben and others, > > I have some questions about your paper "3 hypotheses about the geometry of > mind": > > 1. How do you acquire the probability distributions over memory states, > initially? > > 2. Does the Fisher-Rao metric help in calculating the distributions? Or > it just provides the distance between 2 distributions? > > 3. How is the distance between 2 distributions related to the distance > between 2 memory states? it seems that we'd be interested in the latter. > > I've been skimming the beginning of the book by Amari and Nagaoka, but I > don't see how the theory is applied... > > Thanks in advance =) > KY > *AGI* | Archives <https://www.listbox.com/member/archive/303/=now> > <https://www.listbox.com/member/archive/rss/303/212726-c2d57280> | > Modify<https://www.listbox.com/member/?&;>Your Subscription > <http://www.listbox.com> > -- Ben Goertzel, PhD http://goertzel.org "My humanity is a constant self-overcoming" -- Friedrich Nietzsche ------------------------------------------- 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
