Self-Organizing and Self-Repairing Mass Memories for
Autosophy Multimedia Archiving.
Replacing the Data Processing
Computer with Self-Learning Machines based on the Autosophy Information Theory
Authors: Klaus Holtz, Eric Holtz, Diana Kalienky.
Published / Presented at: ICETE 2005, 2nd International Conference on e-Business and Telecommunication Networks, Volume II, Reading, UK – October 3 – 7, 2005.
Level: Expert
Abstract: The programmed data processing computer may soon be
eclipsed by a next generation of brain-like learning machines based on the
"Autosophy" information theory. This will require a paradigm shift in
memory technology, from random addressable memories to self-organizing
failure-proof memories. The computer is essentially a blind calculating machine
that cannot find "meaning" as our own brains obviously can. All that
can be achieved are mere programmed simulations. The problem can be traced to
an outdated (Shannon) information theory, which treats all data as "quantities."
A new Autosophy information theory, in contrast, treats all data as
"addresses." The original research explains the functioning of
self-assembling natural structures, such a chemical crystals or living trees.
The same principles can also grow self-assembling data structures that grow
like data crystals or data trees in electronic memories without computing or
programming. The resulting brain-like systems would require virtually unlimited
capacity, failure-proof memories. The memories should be self-checking, self-repairing,
self-healing, clonable, both random and content addressable, with low power
consumption and very small size for mobile robots. Replacing the programmed
data processing "computer" with brain-like "autosopher"
promises a true paradigm shift in technology, resulting in system architectures
with true "learning" and eventually true Artificial
Intelligence.
Keywords: Autosophy, Information Theory, Multimedia Archiving, Self-Assembling Data Networks, Self-Repairing Memories, Content Addressable Memories, Artificial Intelligence.
Available downloadable documents:
Slide Presentation / Tutorial -- MS PowerPoint ppt
Publication Top Page -- Adobe pdf
Published document -- Adobe pdf
CAROM memory tutorial – mht