Thank you for telling us what your program won't do. Maybe you can tell us what it will do.
"Building on previous learning" is kind of vague. Doesn't any machine learning algorithm do that? How will you test your program, measure the results, and compare it to other approaches to solving the same problems? On Sat, Aug 3, 2013 at 9:06 AM, Jim Bromer <[email protected]> wrote: > My AGI project is going to be an application of a simple AGI theory that I > have. While the database management part would not be simple to read it is > simple (and amateurish) compared to an industrial db management program. I > am not claiming that I have a solution for AGI complexity. My program is > intended to show that it is capable of making more progress than > contemporary AGI programs. It won't play Jeopardy or chess or anything > like that but most of us agree that those programs are not true AGI. My > simple AGI project is intended to show preliminary feasibility. One thing > missing in most AGI programs is the ability to build on previous learning > to solve new kinds of problems. So, while we know that a Bayesian > character recognition program could be combined with other linguistic > recognition programs we don't see the character detection program > continuing on to learn to recognize spoken words, and phrases and then use > these abilities to begin to understand simple sentences. (My first simple > AGI program is not going to be able to learn to recognize handwritten > characters or spoken words but I am claiming that if it works then I would > be able to adapt it for other kinds of problems.) > > So anyway, just in case someone still doesn't understand what I am > saying: My simple AGI program will not achieve true human-level > intelligence, but it is intended to demonstrate that it can build on what > it has previously learned to continue learning. So right before it is > overwhelmed by complexity I am hoping that it will go a little further than > contemporary AGI programs in order to demonstrate preliminary feasibility > for a structural learning program which unquestionably builds on previous > learning. This ability to implicitly and explicitly build on previous > learning to adapt for new kinds of problems is a fundamental ability > of General Intelligence and that is what I am aiming to create in my Simple > AGI project. Or at least I am going to test my theories to see if they are > strong enough for this simple AGI project. > > Jim Bromer > *AGI* | Archives <https://www.listbox.com/member/archive/303/=now> > <https://www.listbox.com/member/archive/rss/303/3701026-786a0853> | > Modify<https://www.listbox.com/member/?&;>Your Subscription > <http://www.listbox.com> > -- -- Matt Mahoney, [email protected] ------------------------------------------- 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
