On Sat, Aug 3, 2013 at 6:07 PM, Jim Bromer <[email protected]> wrote: > > From: [email protected] > > "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? > ----------- > > Are you saying that there are machine learning algorithms that constitute > working AGI programs?
No. AGI is unsolved. I am saying that there are machine learning algorithms that build on previous learning. For example, the LZW compression algorithm builds its dictionary by extending the words it has already learned. Of course this is not AGI because it meets none of the requirements of solving language, vision, hearing, robotics, art, and predicting human behavior all with human level ability. But you don't claim to be trying to solve these problems either. But you haven't answered my questions. Exactly what will your program do? How will you demonstrate that your program "builds on previous learning"? What are the tests that you will give it? -- -- 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
