Jim, Thanks for the update, I had a college honors class in 1986 in which we studied alan turing and artificial intelligence, lisp, parsing, etc. one of my first projects for honeywell/measurex out of college was starting up a small 120 MW power plant and our programmers from cupertino were supposed have programmed artificial intelligence into the software and when we went to start the system up we found out it was the other type of artificial that took 4 months to Reprogram/debug...
I will read up on kolmogorov complexity, i am unfamiliar Stewart On Wednesday, July 3, 2013, James Bowery wrote: > Artificial Intelligence is a field that has requires a rigorous definition > of intelligence. That rigorous definition has now been completely > formalized in terms of Kolmogorov Complexity. Kolmogorov Complexity is > measured in bits. It is the minimum size of a computer program, in bits, > that it takes to output a given string of bits. That computer program, > which has to have the simplest model that can explain the string it is to > output, also provides the optimal guesses as to the behavior of the > environment that produced the string of bits it models. > > This is the formal -- mathematical -- definition of Ockham's Razor. It > gives Ockham's Razor teeth -- so to speak. > > > On Wed, Jul 3, 2013 at 5:33 PM, ChemE Stewart <cheme...@gmail.com> wrote: > > Well, we already proved wikipedia was wrong about waterspouts lifting > water so they are not necessarily the leading authority on anything. > > I agree with most of the thermodynamics below, unlike a waterspout with > one string of vacuum energy they have many in multi body orbits around the > eyewall doing the vacuum evaporating of the seawater, cooling the ocean and > vacuum condensing the water vapor along the eyewall. Once their simple > model also explains: > > 1) electromagnetic discharge along the eyewall > 2) multiple mesovortexes within isabell's eye > 3) gravity waves emanating from the disturbance and along the cold > conveyor leaving the eye > 4) earthquakes before and after the disturbance along the path > 5) multiple interlocking strings and rainbows witnessed in the sky along > the the front ahead of Sandy > 6) wailing sounds in the overhead jetstreams days ahead of Sandy along her > path > 7) how that disturbance known as Sandy can be held together against wind > shear and turn left into New Jersey/New York against the cold North > Atlantic current trying to take it Northeast and still keep the central > pressure low. > > Then I believe they will have their model nailed. I have discussed all of > these on my blog. > > I am not sure what artificial intelligence has to do with it but it is a > nice buzzword. > > Stewart > Darkmattersalot.com > > > > > > > > > On Wednesday, July 3, 2013, James Bowery wrote: > > Michaud's AVE model is not only a very good fit for modern high time-space > resolution measurements of atmospheric vortexes as large as hurricanes -- > it is a far simpler model. This is significant not only because recent > advances in universal artificial > intelligence<http://www.hutter1.net/ai/uaibook.htm>have proven Ockham's Razor > yields optimal predictions, and not only because > accuracy at the largest scale demonstrates scaling, but because by > validating the model at the extrema, interpolation rather than > extrapolation is used for prediction. As the first sentence of the > wikipedia article on > extrapolation<http://en.wikipedia.org/wiki/Extrapolation>states: > > In mathematics <http://en.wikipedia.org/wiki/Mathematics>, *extrapolation* is > the process of estimating, beyond the original observation interval, the > value of a variable on the basis of its relationship with another variable. > It is similar to interpolation<http://en.wikipedia.org/wiki/Interpolation>, > which produces estimates between known observations, but extrapolation is > subject to greater uncertainty <http://en.wikipedia.org/wiki/Uncertainty> and > a higher risk of producing meaningless results. > > > Hurricane Isabel Intensity <http://vortexengine.ca/Isabel/Intensity.pdf> > > Louis Michaud > January 19, 2007 > > Abstract > > Hurricane minimum eyewall pressure is a function of the temperature and > humidity of the air at the eyewall. Hurricane maximum wind speed is a > function of the difference between this eyewall surface pressure and the > surface pressure at large radius. Dropsonde observations in hurricane > Isabel provided unprecedented high quality data on eyewall: air > temperature, relative h > >
