Self-learning Autosopher

Replacing data processing computer with brain-like Autosopher

Application Proposal: 2007

Abstract: Data processing computers may soon be eclipsed by a next generation of brain-like learning machines based on the "Autosophy" information theory. This will cause a revolutionary change to communication and computing applications. Data processing computers are essentially adding or calculating machines that cannot find "meaning" as our own brains obviously can. No matter the speed of computation or the complexity of the software, computers will not evolve into brain-like machines. All that can be achieved are mere simulations. The basic problem can be traced back to an outdated (Shannon) information theory that treats all data items (such as ASCII characters or pixels) as "quantities" in meaningless bit streams. In 1974 Klaus Holtz developed a new Autosophy information theory, which treats all data items as "addresses." The original Autosophy research explains the functioning of self-assembling natural structures, such as chemical crystals or living trees. The same natural laws and principles can also produce self-assembling data structures, which grow like data crystals or data trees in electronic memories, without computing or programming. Replacing the programmed data processing computer with brain-like, self-learning, failure-proof "autosopher" promises a true paradigm shift in technology, resulting in system architectures with true "learning" and eventually true Artificial Intelligence.

Anticipated Applications: Self-learning, brain-like, and error-proof Autosopher promise a leap-ahead next generation in computing and communication. This may dramatically improve all forms of communication, especially communications via the Internet.

Keywords: Autosophy, Information Theory, Universal multimedia archiving, Self-learning Autosopher, Video Compression, Encryption, Quality of Service (QoS), Failure-proof systems.

Available downloadable documents:

Proposal document 2007 Self-learning Autosopher – MS Word doc

Related Publication 2005 Memory – Webpage htm

Related Publication 2005 Autosopher – Webpage htm

Related Publication 2004 Archiving – Webpage htm

Related Publication 2002 Autosopher – Webpage htm

Related Publication 1996 Theory – Webpage htm

First Publication 1977 Learning Networks – Webpage htm