Stored Purpose is a systems architecture designed by inventors Warren Jones and Lana Rubalsky between 2000 and 2010. It combines new developments in physics, information theory and electronics to make possible the first man-made intelligent systems. Stored Purpose makes it possible to run applications called Agents, based upon a new type of genetic software, called purpose hypergraphs. Agents will traverse a next generation cloud fabric that will consist of devices ranging from fixed infrastructure adapters, to personal mobile communication, to metacomputer hosts for private and public cloud infrastructure. A reference model for developing metacomputer platforms using commercial electronics as been developed called Automation Appliance. It can be used as a basis for a range of applications, including smart transportation, health care, and energy.

Abstract

Since John von Neumann’s 1945 paper documenting John Mauchley and J. Presper Eckert’s work, the dominant automation technology has been a computer architecture called stored program. Such computers gather information from input, procedurally manipulate it using programs and send the results to output. Automation using stored program computers principally involves three players, 1) a person entity with a Purpose comprising one or more goals, 2) a contextual state event, that triggers a person to act in pursuit of a goal and 3) technologies that may be manual, mechanical or an electronic computer program, employed to achieve the goal by aligning measured states with a goal state.

In the genre of science fiction, books such as Asimov’s iRobot, television series such as Eick, Larsen and Moore’s Battlestar Gallactica and movies such as the Wachowski brothers’ Matrix have illustrated an alternative approach to automation, one in which all three player roles are imbued within a single system, an intelligent machine.

In a computer design effort, we call Stored Purpose, we developed a means to build intelligent machines. The challenge was found not to be in copying the human brain, as was an approach of Artificial Intelligence (AI) efforts, but in solving for a pre-requisite for intelligence, namely existence, which requires an existential “Self” to sustain its Platonic definition as a contiguous, “flicker-free” stream of frames, each dependent upon delivery of the prior result with zero delay. Simple construction of processing to sustain existence was difficult, if not impossible in our Universe due to information flow rate constraints defined by Lorentz and described by Einstein.

A year ago, the wJones Company solved for the constraints of machine intelligence, including logical solutions for existence, intelligence and understanding and physical solutions for constraints such as existential information flow. As an architectural basis for intelligent systems, we developed a theory of fundamental existence and further defined several levels, including that of human. We developed and implement a three part existence model architecture (Ema) as the algorithmic basis for machine intelligence. Key to solving Ema was a theory of disjoint timespaces which was used to derive Ema’s three part architecture:

1. a constraint-free Construction timespace, in which we compose Platonic Forms of Identity in a contextual fabric we call the Purpose hypergraph or machine genome,
2. a Translation boundary space we implement with a General intelligence algorithm (Gia), and
3. an Expression timespace representing the classical reference frame in which we are the observer and the interface between intelligent agents of the system and us, which we call the metacomputer.

For details about theories, science and technology behind Stored Purpose, please see the index to the right or contact the inventors.

For a list of the core theories behind Stored Purpose, see the Hypothesis.

For a non-technical introduction to the technology, please see these illustrations:

• Medical
• Retail
• Transportation
  

Stored Purpose Hypothesis >>

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