Author: Graham Laight
Date: 14:52:21 11/18/00
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On November 18, 2000 at 17:37:03, Bob Durrett wrote: >I read somewhere that the human brain stores pattern information in a manner at >least vaguely similar to the way a Fourier Transform works. > >For an elementary example, one could store a single-variable function, f(t) as a >spectrum where amplitude and phase are both stored. > >For information to be stored in the human brain, the "functions" are not so >simple. > >But, with a stretch of the imagination, one might see how this could be. > >The key idea is that the information is stored in a large percentage of the >brain's memory, so that if one were to accidentally [or intentionally] remove >part of the brain, the memory could still be recoverable, though not so >precisely. This assumes a lot, of course, like not killing the human, etc., but >consider the principle. > >Now, look at the modern computer's memory. What if information could be >transformed in some manner so that the information would be stored in a >distributed manner in the computer's memory? Maybe not practical today [???] >but I don't see any reason why someone could not figure out how to do that. > >Well, to be more specific, suppose one wishes to store 10,000 chess positions. >Then, the code would have to be configured [by some really smart programmer] so >that it would compare the current game position to the stored memory. It would >be a matter of correlation. The stored pattern which gave the highest >correlation [after doing the equivalent of an inverse Fourier Transform] would >subsequently be recalled and used by the code to figure out what move, or chess >idea or plan, to give priority too. Incidentally, not only would the 10,000 >positions be stored, but also the information as to how to proceed in that >position. > >Maybe it would require more of a computer than we currently have. [an >understatement?] > >But, if you're game, think about it! Fourier transforms are usually applied to waves, to determine the extent to which sine waves exist in them. Are you saying that they could also be applied to chess positions? If so, please explain how. -g
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