Ben, a) Episodic memory requires transition from hierarchical to sequential processing, which is problematic for ANN. Conventional solution is to model dendrites: they do all the heavy sequential processing, while neuron itself is more like networking node. Jeff Hawkins does that. In my model, this dilemma does not exist: every level of a hierarchy is already a sequence: www.cognitivealgorithm.info
b) Your solution to pathologies is basically supervision, by some image grammar. It's a hack, general intelligence must be able to learn without supervision. I think real solution is in proper node design. On Sat, May 9, 2015 at 4:52 AM, Ben Goertzel <[email protected]> wrote: > Some of my thoughts about the limitations of current deep learning > algorithms ... > > http://goertzel.org/DeepLearning_v1.pdf > > > > -- > Ben Goertzel, PhD > http://goertzel.org > > "The reasonable man adapts himself to the world: the unreasonable one > persists in trying to adapt the world to himself. Therefore all > progress depends on the unreasonable man." -- George Bernard Shaw > > > ------------------------------------------- > AGI > Archives: https://www.listbox.com/member/archive/303/=now > RSS Feed: https://www.listbox.com/member/archive/rss/303/18407320-d9907b69 > 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/303/21088071-f452e424 Modify Your Subscription: https://www.listbox.com/member/?member_id=21088071&id_secret=21088071-58d57657 Powered by Listbox: http://www.listbox.com
