Replacing Data Processing Computer with
Self-Learning Autosopher: Impact on Communications and Computing
Replacing the programmed data
processing computer with self-learning machines
Authors: Klaus Holtz, Eric Holtz, Diana Kalienky.
Published / Presented at: SCI 2002. The 7th World Multiconference on Systemics, Cybernetics and Informatics. Sheraton World Resort, July 27 – 30, 2003, Orlando, Florida – USA. PROCEEDINGS Volume V. Computer Science and Engineering: I.
Level: Expert Information Sciences
Abstract: The programmed data processing computer is no doubt one of the great technological achievements of the 20th century. It may, however, soon be eclipsed by the Autosopher, a new generation of brain-like, self-learning machines already being demonstrated in hardware models. This will have a profound impact on communications and a host of other computing applications. In fact, Autosophy data compression protocols are already part of virtually all Internet communications. Examples include the gif and tif formats for lossless image compression and the V.42bis data compression standard found in most modems. More advanced formats for Autosophy still image compression and television have also been demonstrated. Autosophy is a science of self-assembling structures founded in 1974 to explain and extend patterns and principles found in nature. Self-assembling Autosophy data “trees” or “crystals” grow in electronic memories without programming or human supervision. The result is true mathematical learning, essentially equivalent or superior to the learning processes of our own brains. A future Autosopher would provide instant access to any multimedia data type and communicate with us in grammatical languages. Self-repairing and self-healing memories would make the Autosopher virtually failure-proof.
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