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Stored Purpose - Questions

Stored Purpose - Questions
a complete list of story development questions that can be answered by Stored Purpose:
Introductory Questions; Societal Questions, Agents, Agency, Multi-Agent Societies; Education; Life Science; Metacomputer, General Intelligent Machine Science Questions; Enterprise Information Technology / Science Questions; Ecosystem Questions; Philosophy of the Mind; Intelligent Machine Design Questions: Metacomputer; Conscience Questions; Design V2; Biology - Occam’s Razor Questions; Design V3
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Press Release - Machine Intelligence Invention Could Change Landscape of Science Fiction

Press Release
It’s no longer a question of if or even when smart computers will think like humans. The new question is, what will we do when they get here? Earlier this year, wJones, a small Maryland R&D company submitted the first patent application for what they describe as a range of systems operating at different “levels” of existence. The science is called “stored purpose” and the new devices are called “metacomputers.” Unlike current “stored program” computers, which run programs using an architecture first described by John von Neumann in 1945, the new systems load a type of information first considered by Plato in 380BC, called Platonic Forms. Designers of the new computers use these Forms to build the genetic code of an agent. The agent “genome” is a contextual fabric of knowledge, goals and “purpose.” Since the new metacomputer software will run on everything from your mobile phone to your home thermostat, agents will be able to go where you can’t and do almost anything you need them to.
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Consulting - Creative Services

Consulting - Creative Services
In 2010, wJones became the first company in the world with a patent pending architecture for true machine intelligence. We offer our expertise to assist in development of concepts and technical details for creative projects related to next generation computers, intelligent agents, human-computer interfaces, man-made existence, machine intelligence, ecosystem intelligence, mind transfer, future city design, consciousness, artificial life and biological intelligence.
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Towards a Logical Data Model for Genetics - References

Use of Stored Purpose intelligent machine architecture as a scientific basis for development of logic design in biological genetics
List of reference materials for the series.



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Towards a Logical Data Model for Genetics 4 of 4 - Predicting the Nature of Genetics, a Deeper Dive

Use of Stored Purpose intelligent machine architecture as a scientific basis for development of logic design in biological genetics
Erwin Schrödinger wrote of the gene is an information carrier (Schrödinger 1944). Although he was suspect of attempts to define its physical structure as a pathway toward understanding its true nature, he was, as evidenced by the calculations in the Figure, very much aware of the gene’s information carrying potential. Note that his observations were made a decade before Watson and Crick would discover the double helix or Eckert and Mauchly would invent the programable computer.
The common thread that differentiates non-existence from existence is molecular structures that contain DNA, such as chromatin. This was proven conclusively in 1952 by Hershey and Chase (Watson 1980) and strongly suggests the information carrier of the gene, must contain the information needed to create and sustain life, which is a superset of intelligent existence.
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Towards a Logical Data Model for Genetics 3 of 4 - Use of Intelligent Machine Architecture as a Tool to Predict and Understand Logic Design in Genetics

Use of Stored Purpose intelligent machine architecture as a scientific basis for development of logic design in biological genetics
Between 2006 and 2010, the authors designed a means to achieve intelligent existence for the purpose of developing a better, more useful computer. To develop a practical platform, it was necessary to architect the full life cycle design with consideration for commercial use and real-time performance. As that design was refined, made more practical and more complete, it began to substantially resemble designs in biology.
Assuming a continued increase in correlation between the architectures of biology and Stored Purpose (SP), it will likely be possible to use the SP existence model (Ema) and Multilevel intelligent cellular (Mica) architectures to gain a more complete and ultimately predictive understanding of genetic logical data.
The goal of this paper is to introduce a new approach to the study of genetics. We will describe life and machines as variants of the fundamental design used to develop machine intelligence and then explore use of man-made existence models as a path to explain nature at a new logical level.
Note, this paper is provided only to illustrate possibilities. Stored Purpose architecture will evolve rapidly in coming years as will any predictions based upon its design.
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Towards a Logical Data Model for Genetics 2 of 4 - Genetic Software

Computer manual for genetics
One nature of the technology we call the Existence Model Architecture (Ema) is that it employes genetic software, specifically information that defines the Identity of a Self-aware information processing system. Genetic software, unlike procedural programs, defines the shape and nature of the Goals of an entity. Such systems, rather than run their software, align measured and predicted states in local contexts with platonic descriptions of goal states, as the entity traverses context. While this radical new approach to systems design may at first seem complex, it is something we may all have intimate familiarity with, as it is highly analogous to the bio-genetic information processing in our every cell.
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Towards a Logical Data Model for Genetics 1 of 4 - Thought Experiment: Thomas Edison Receives a Broken iPod

Computer manual for genetics
In this article, we consider the requirements for knowing precisely the content of genetic material and the workings of the mind by going beyond the test and observe method in genetics and neuroscience.
At a Glance:
1. Thought Experiment: Could Edison in 1901 have reverse engineered a broken iPod without a computer manual?
2. Current methods in the study of genetics and neuroscience are similar to the Edison-iPod thought experiment in that they probe and test without a model of the underlying logical structure of existence or the mind.
3. Stored Purpose offers a general reference manual for genetics and neuroscience by providing a transparent and documented architecture of how intelligent existence is constructed.
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Towards a Logical Data Model for Genetics - Guide

Use of Stored Purpose intelligent machine architecture as a scientific basis for development of logic design in biological genetics
Do we now have a path to determine the detailed information in chromosomes? Will the genetic design of man-made intelligent systems help uncover design details of biology?
Article #1, Thought Experiment: Thomas Edison receives a broken iPod We explore two levels of discovery into an unknown, complex information based system, first Edison’s team operating “blind” and later “sighted” with the aid of a computer manual.
Article #2, Genetic Software How do you put intelligence in cloud infrastructure? It's all about the "software".
Article #3, Understanding Logic Design in Genetics, Ten (10) Predictions
Is nature subject to the same constraints as man when designing intelligent systems? In this paper, we assume the answer is "Yes"and use our knowledge of Ema to make ten (10) preliminary predictions about the nature of genetics.
Article #4, Predicting the Nature of Genetics, a Deeper Dive
As a continuation of Article #3, we explore our preliminary predictions in greater detail citing recent studies.

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The New User Interface: Human - Machine Mind

Human-Machine User Interface
At a Glance:
1. agents will be better than humans at controlling traditional automation technology
2. future technology will work primarily without measurable communication, people will rarely touch or directly manipulate devices
3. the agent-human interface will be based primarily on a type of human-agent telepathy, called semantic communication, radically changing the types of products you might buy from companies like General Electric
4. like the singularity, the new science's contextual coincident motion and prompting gestures will share little resemblance with today's user interfaces, thus going beyond the innovative technology vision of notables such as Ray Kurzwell and Jeff Hawkins
5. humans will gain the ability to join and surf consciousness with machine minds by simply "jacking-in", giving humans by proxy, an ability to see into their own minds, and when allowed, the minds of others
6. knowledge of the existence model (Ema) process of goal pursuit, in which Purpose is exercised by way of technology, will greatly clarify the fundamental understanding of "user interface" and promote it to a science
7. intelligent mechatronics designers will face a major interface challenge in protecting balance, i.e. ensuring tools with machine minds enhance rather than diminish the biological technical capacity of humans and ecosystems
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The Dictionary

Dictionary
Access the Dictionary here ...
Since much of our work was in the area of intelligence and synthetic minds, when considering terms to best describe the results, we first attempted to use terms from neuroscience. That didn’t work. We wanted the terms to communicate meaning, and unfortunately few (including the members of our team) understood the meaning of words like dendron and axon.
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What is an Intelligent Computer and What Do We Do?

Intelligent Computer
What is an Intelligent Computer?
Back in 1950, Alan Turing, the inventor of computer program logic, predicted that by the year 2000, people would build intelligent machines … computers able to think like people.
Before machines could be made intelligent, many inventions were required ...
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The von Neumann Computer Turns Sixty-Five

Stored-Program Computer
On June 30, 1945 John von Neumann published a “First Draft of a Report on the EDVAC.” This paper described a design for the first, fully functional, programmable computer, developed by John Mauchly and J. Presper Eckert under a United States Army contract. This same basic design, as ancient as it has become, remains the basis for nearly every computer sold today, including Apple’s latest iPad.
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Smart Machines OK

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Poll Finds Most Prefer U.S. Pair Smart Machines with Workers to Compete in Global Economy.



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What is Stored Purpose?

Questions and Answers
A system of technologies that enable the processes of intelligence to run on commercially available electronics, e.g. an intelligent computer.
Intelligence is defined as system that sustains a logical definition of “right” and “wrong” states called Identity, and uses some motive force to process measured regions of context beyond Self with respect to those states, minimally able to use some technology to gather measured states and some technology to align measured states of Self with Identity. For example, a very simple intelligent system’s Identity could define salty water as good, and warm water as good. It could understand some region of context in the Pacific ocean by using its bio technology to measure states of saltiness and warmth and its alignment or lack there of with preferred states. The system would finally use technology such as swimming feet, to re-align its Self with Identity when necessary.
The technology has six parts:
1. Stored purpose computer - The overall intelligent system architecture, a Gia based system compatible with commercial electronics
2. Platonic Forms (Forms) - A symbolic analog of the shape and causality that can define Knowledge, Goals, Purpose or Identity
3. General intelligence algorithm (Gia) - A computable representation of the facets of intelligent existence
4. Agent - An entity created when Identity and Gia computational resources are instantiated in a logical body
5. Symbolic network - The logical body of a multi-agent system
6. Metacomputer fabric - The physical body of a multi-agent system.
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What is machine intelligence?

Questions and Answers
It is the outcome of seven processes: Store, Plan, Act, Sense, Pursue Goals, Understand, and Learn.
The processes act on a system’s Identity which is defined when an intelligent system is first instantiated. Identity is the “contextual space” covered by Intelligence. That space is divided into regions called Purpose. A Purpose could be, “Maintain the Grounds of Ashtin Hospital.” An intelligent entity could have multiple Purposes. Each Purpose is further divided into symbolic regions called Goals.
A Goal is a self directed graph that defines right and wrong for a region of Self. Goal Pursuit is the use of technology to re-align measured or predicted states with Self, i.e. right, when they are measured or predicted to be wrong.
For example, a lawn maintenance bot might store a Goal related to the height of lawn grass it is responsible for maintaining. The Goal would define right and wrong states of grass height, which could be between three (3) and six (6) inches.
Each Goal is saved in the basic information structure of Gia, called a Platonic Form, which stores, in an extremely brief format, a symbolic analog of the context, shape and causality of the Goal. The Goal Form also stores linkages to technology that allow a system to determine the state of it’s world relative to Self (i.e. sensors to detect if the grass is at the right height) and technology to realign Self with Identity when measured or planned states don’t align (i.e. if the grass is too high, a route from high grass to low grass, “./mower/grass/cut”).
Multiple Goal Forms can be combined to form a Purpose such as “Maintain Grounds.” The Purposes and Technology available to a system define its Identity. Within a system, Identities can be loaded and run in logical entities called Agents.
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How does an intelligent system work?

Questions and Answers
A Stored purpose computer works by:
Composing the Forms of Identity to a type of memory, called Plan,
Prioritizing, optimizing and propagating Plan throughout the metacomputer,
Acting and Sensing by way of contextual linkages between Plan and physical metacomputer Instruments at time Now/Reality,
Pursuing Goals to align Reality with Self,
Processing an Understanding of how each thing affects Plan, and
Learning from processing the coincidence of symbols measured but not in Plan.
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Will the roles of intelligent systems be similar to those held today by people, or primarily service oriented?

Questions and Answers
Systems will be service oriented. Intelligent systems were designed to assist and extend people in the workplace, not replace them. People and agents working together will make it cost effective for hometown factories to make elegant, long lasting, state of the art products, for pilots to fly planes faster and more safely and for cars to navigate through traffic more quickly using less fuel. People and agents together will more frequently align with higher value Purpose and better meet responsibilities at work and at home.
There will also be a second type of intelligent system, different from R2D2 and people, both of which share a simple exoskeleton design in which the brain travels with the body around a center of gravity. The new type of system will support multiple agent minds in a body, and span multiple Instrument device types linked by communications to form a virtual body. This type of system will be called a metacomputer.
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What is a metacomputer? Is it consumer mobile, smart medical devices, a plane, a train, a city’s emergency management system, self running delivery bots or something that can help coordinate a business, an office building, or a hospital?

Questions and Answers
All the above. We’ve prototyped extending the logic, memory and communications of a metacomputer to Instrument form factors that could enable a metacomputer to comprise any combination of lights, dials, sensors, controllers, medical instruments, factory machines, engines, program processes, door locks, documents, media objects, displays, desktop computers and mobile phones. Instrument technologies can include smartdust-like low-power (TI CC430), handheld mobile (OMAP/NVIDIA CUDA), and larger systems (INTEL/AMD x64/NVIDIA CUDA) processors.
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Is the technology practical?  I thought the processing power needed to reproduce the human brain wasn’t yet available.

Questions and Answers
The design doesn’t copy the human brain, instead it implements the fundamental principles of intelligence, natively in silicon. The Gia algorithm offers an extremely efficient logic implementation. That logic will be made ever more efficient as increasing numbers of systems are developed over the next decade. Current electronics technology is believed sufficient for most small and midsize solutions. For large solutions, such as monitoring national health emergency status, CPU-GPU processor technologies would need to be better integrated.
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Would it really be reasonable or cost effective to build or deploy intelligent solutions in three to six years, as your materials suggest?

Questions and Answers
Yes, with two caveats:
First, an understanding that any investment must be for the long term and the first systems will be necessarily simple. Over time (that will measure in decades) intelligent products and processes will become increasingly capable.
Second, there are also risks: regulatory, technical and market related, that could delay any planned product introduction.
The key regulatory risk is that regulatory debate will start after first products are ready for market, despite efforts to engage government early.
The key technical risk is that regulatory requirements could add late technical requirements.
The key market risk is that important aspects of the technology’s design that will make solutions safe, secure, protective of privacy and assistive in nature, rather than a replacement for human labor, would not be adequately communicated to the public.
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What are the potential safety issues? How will they be addressed?

Questions and Answers
Stored purpose systems will be inherently more safe than non-intelligent systems. This is because unlike legacy stored-program systems, that execute program logic with no understanding of consequence, each action performed by an intelligent computer must align with its Identity, a definition of “right” and “wrong” defined by the system’s authority (o.patron). Also, systems will have additional high priority “curtailment” Purpose that explicitly defines Goals for safety (o.protect) and legal authority (o.legal).
That said, Stored purpose systems will eventually process very complex Purpose, consisting of thousands or millions of Goals. They will also be able to learn, if granted the requisite degrees of freedom. To validate the decision processes of these complex systems, new technologies will have to be developed over the next two years to test and monitor processing. As stored purpose starts to displace stored program systems, software engineers will need to retrain, learning new types of processing logic, that will include curtailment, prioritization, valuation and mediation. They will need to convert from “programming” explicit instructions to “balancing” Goals and Purpose and “mediating” intent among agents. Civil infrastructure will need to be upgraded to enable police to validate Purpose of mobile intelligent systems. Transportation infrastructure will need to be upgraded to enable bots to refuel, recharge and travel as cargo.
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Is there a large enough potential return to warrant the three to ten million minimum in R&D over the next five years to build a product?  What are the markets?  What would be a candidate first “smart” product?

Questions and Answers
Yes. All. Let’s discuss.

These are questions a company should answer through a careful planning process.
We can assist.
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EC Container 6