Failure-proof memories and systems (DECAM)

Defining the methods for dual-redundant, self-repairing, error-proof, memories and systems.

Research opportunity

Abstract: Electronic Autosopher, and our brains, store information in a mathematical hyperspace, which is beyond human ability for maintenance or repair. Finding and repairing a defective neuron in the brain is just as impossible as locating and repairing a defective node in a hyperspace memory. The only recourse is to make the memories self-repairing and error-proof. Self-repairing and error-proof systems examples are found in dual entry accounting and in the biological DNA helix. Understanding the principles of these processes and implementing them in the new self-learning CAROM memories is the main purpose of this research. However, this would be only the first step in building failure-proof and self-repairing Autosopher systems. Dual redundancy self-checking and self-repair should be implemented throughout the systems design, including dual-path bus connections and error-proof communication protocols. Repair should be done by unskilled labor, simply exchanging standard modules identified by the Autosopher, and eventually by internal maintenance robots.

Applications: Building systems that will not fail or deliver erroneous information, even after suffering extensive physical damage, is a requirement for robots having physical interactions with human beings. A malfunctioning robot may cause severe destruction and physical injury to human beings.

Keywords: Autosophy, Self-repairing memories, Failure-proof systems, Dual-redundancy systems, DECAM memories.

Available downloadable documents:

Publication 2005 – Error-proof Memory – Webpage htm

Publication 2004 – Archiving – Webpage htm

Patent 1996 – CAROM Memory – Webpage htm