Artificial Archiving Temporary Storage for AI Learning Systems

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Artificial Intelligent systems will need additional storage capabilities besides merely random access memory. These temporary storage systems will not be written to the permanent hard drive but rather saved for a time when the artificially.

Artificial Intelligent systems will need additional storage capabilities besides merely random access memory. These temporary storage systems will not be written to the permanent hard drive but rather saved for a time when the artificially intelligent robotic android is not in use and does not need its full computing speed or capabilities. Let's call this a time of defragging or "sleeping" time for the system.

During this sleeping time the artificial intelligent system will work thru its decision matrix choices of the previous period of use and then pick and chose the best decisions made and the data sets from all the sensors used to make that decision and commit that to main memory and dump the rest of the data to trash.

Why is this necessary? Well, easy you see all those sensors will collect an awful lot of data perhaps up to 100 Gigabytes or more per day. All that data is not need only the best of all that data would be desired and only the paths which brought the artificially intelligent robotic android to the best choices should be kept, the rest must be discarded, while the good data would be stored into a system such as an XML spreadsheet which would be updated to assist in the decision matrix for those particular activities or tasks.

It is important to keep the decision matrix data clean and crisp and simple. This will help in speed of processing and less potential problems with data corruption and fewer mishaps in the future or "PRIDE" Poor Robotic Intelligent Decision Errors. Please consider all this in 2006.

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Ryan Larkin

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