--- Steve Richfield <[EMAIL PROTECTED]> wrote: > The one mentioned in my "Comments from a lurker" thread mentions Dr. Eliza, > that is designed to solve difficult problems in simple ways that billions of > people have missed for a million years, and very likely ANY > astronomically-sized AGI machine would miss for centuries. It was unclear > how AGI was supposed to quickly do something that was only possible after > 10E14 human years of wars and other strife, without having to go through, > and even potentially cause the same.
As far as I can tell, it only gives medical advice based on your personal agenda. It knows only what you program into it. > I published a paper at the first IJCNN in San Diego explaining how > everything pointed to wet neurons generally computing with the logarithms of > probabilities of assertions being true. That simple fact should have guided > future research, but lab researchers not being mathematicians, and neither > going to NN conferences, this guiding fact as died away like the echo of > some long-forgotten noise. When a tree falls in the forest... I use the same technique in my PAQ7/8 data compressors (since Dec. 2005), although I was not aware of your research. A set of models independently estimate the probability p(0), p(1) that the next bit of input will be a 0 or 1 based on past history in various contexts. The predictions are mapped to x = log(p(1)/p(0)), combined by weighted averaging, then mapped by the inverse squashing function 1/(1+exp(-x)), which makes it a neural network. Then the weights are adjusted to favor the most accurate predictions in proportion to x*(actual - predicted), a simplification of back propagation that minimizes coding cost rather than RMS prediction error. I should mention the technique works quite well. http://www.maximumcompression.com/data/summary_sf.php -- Matt Mahoney, [EMAIL PROTECTED] ------------------------------------------- agi Archives: http://www.listbox.com/member/archive/303/=now RSS Feed: http://www.listbox.com/member/archive/rss/303/ Modify Your Subscription: http://www.listbox.com/member/?member_id=8660244&id_secret=101455710-f059c4 Powered by Listbox: http://www.listbox.com