I was taught that in AI there are two primary tasks, Classification and Construction. Please correct me where I'm wrong, anyone. I like to learn. Deep Learning and (many other methods) are good at classification tasks. We also need methods good at construction tasks (i.e. plan generation). ~PM
> Date: Mon, 16 Feb 2015 16:09:00 -0800 > Subject: [agi] Couple thoughts > From: [email protected] > To: [email protected] > > I had a couple of things running through my mind -- > > 1) "Deep learning algorithms are very good at one thing today: > learning input and mapping it to an output. X to Y. Learning concepts > is going to be hard." Andrew Ng. > > I guess I take that to be an acid test of where the big guys are with > concepts. > > 2) "brain inspired", "physics inspired", "math inspired," X-inspired, > etc-inspired, hybird-inspired... > > It seems all AGI approaches take the "inspired by" approach. The only > approach that is not deliberately inspired by some discipline, but > aspires to the actual thing: Colin Hayes' approach. > > There is nothing wrong with the "inspired by" approach, of course. > > Mike > > > ------------------------------------------- > AGI > Archives: https://www.listbox.com/member/archive/303/=now > RSS Feed: https://www.listbox.com/member/archive/rss/303/19999924-4a978ccc > 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
