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Stored Purpose Books, Works in Process, Principles of Existence

Stored Purpose Books
The following is an outline of books and papers in development related to Stored Purpose design.

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Stored Purpose - H4: Ecopoesis & Space

Stored Purpose
The goal of the Omega Infrastructure is to make possible 100% self sustaining communities on earth, and thus make an escape to space unnecessary. Yet after a century or two gaining experience and expertise regulating ecosystems on earth, we hope humankind may again be ready to journey into distant space.
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Stored Purpose - H3: Omega Infrastructure

Stored Purpose
Please contact the inventors for a summary of this paper.




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Stored Purpose - H1: Intelligent Technologies

Stored Purpose
Please contact the inventors for a summary of this paper.




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Stored Purpose - Time Horizons (H1 - H3)

Stored Purpose
Although the introduction of new technology may appear to be rapid, historically its introduction and adaptation has unfolded methodically and in phases... If Stored Purpose were to evolve at the pace of its stored-program predecessor, the first intelligent iPhone “agents” would appear somewhere around 2190. We think progress will come a bit sooner.

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Stored Purpose - Planetary Ecology - Ecopoesis

Stored Purpose
Please contact the inventors for a summary of this paper.




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Stored Purpose - Organizational Ecology

Stored Purpose
An organization is a single purposeful entity comprised of multiple agents. These agents will act as the organization’s body and execute its Purpose.
An organization is a purposeful part in a greater ecosystem. The greater ecosystem will also be an organization. The top most organization for all organizations will be the planet’s ecosystem.
The resources of an organization will be resources of the greater ecosystem.
An organization that is not a planet’s ecosystem will be one of peer organizations within the ecosystem.
A minimal Goal pursuit capability at a point in context requires member agents: 1) measure states, 2) compare alignment with Purpose, and 3) align organization states with Purpose.
An organization exists at each location in context space where it can pursue Goals to align states of the organization’s Self in Expression context with its defined Purpose. Conversely, an organization does not exist at any point in context where it cannot pursue Goals.
An organization’s Purpose is its aggregate collection of Goals defined in Construction.
An organization’s Self is its aggregate states in Expression, a collection of contexts where the organization employs technology to pursue Goals. Self is the location of the organization at time Now, or Reality. Self is what is aligned by the organization with its Purpose.
An organization’s Identity is the totality of its existence, Purpose expressed as Self and all regulatory features, capabilities and resources known to it.
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Stored Purpose - Cortical Mica

Stored Purpose
Cortical Mica was designed to enable Assistant and Nexus class agents to combine abstract and real symbols as a single flat reality context. This was to enable Expression processing compatible with human-style reality streams, also called consciousness.more ...
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Stored Purpose - Tissue, Organ and Body Mica

Stored Purpose
Semantic communication makes it possible to design Purpose that spans multiple entities, and thus makes possible the creation of existential intelligence on multiple physical levels. We call this existential range, Multilevel intelligent cellular architecture (Mica). It makes it possible to create a lighting panel that not only pursues the Goals of each light, but can act as an integrated smart light fixture and part of Purpose for higher level of physical structures such as a video, light and sound system or an intelligent theater. Purpose can be defined for each level of existence, yet combined in Construction such that all existential levels are defined in just one Construction-side fabric.more ...
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Stored Purpose - Semantic Communication

Stored Purpose
When existential components share the same Construction basis, such as cellular instruments with the same genetic Identity, they are “in communication” in Construction, even if there is no information exchange in Expression. This is a phenomenon we discovered when designing intent propagation for the metacomputer. The result is two components can pursue goals in a coordinated fashion, without information, as long as each has access to the same external state information, we call Context.
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Stored Purpose - Higher Existence Levels

Stored Purpose
We defined that the Existence model architecture (Ema) is a building block. Simple existential cellular components can become building material for more complex components. Those new components can be either the technology or larger component of something more complicated. Since all levels have a compatible Construction Translation Expression (CTE) at all levels above molecular, Purpose can be defined once and distributed throughout the system. In a less dynamic system, such as a body, the read-only Purpose of billions of components operating at multiple levels could be stored as a single genetic Identity document.more ...
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Stored Purpose - General Intelligence Algorithm - Gia

Stored Purpose
The General intelligence algorithm (Gia) is the engine that translates between the Platonic Forms of Construction and the contextual states of Expression. Its processes sustain intelligent existence by composing Form data to the synthetic file system (SFS) and then processing the results. Each “insert” of a composition to Plan causes a wave, in which dependencies are calculated, sequenced and moved in time to make room for the consequence of prediction. Each wave may create new resource constraints that must be corrected with additional Goal pursuit and subsequent sequencing and prioritization of Plan. Once the “ripples” settle, the process is repeated for each level of existence served by the existential entity. A single metacomputer instrument might have Purpose at the cellular Ema, team Mica and department Mica levels.
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Stored Purpose - Synthetic File System

Stored Purpose
The Synthetic File System is the logical gateway to all symbols, objects and logic of a Stored Purpose system. It is the information conduit between timespaces and two radically different information models, Construction and Expression. It makes Translation possible. On one side, processes must read and write Platonic Form data, which is symbolic and relative. On the other side, processes must read, write and sequence discrete object states and their consequences across all time.more ...
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Stored Purpose - Safety and Curtailment

Safety
Curtailment is Cortical Mica Purpose for moderating standard Ema and Mica Goal Pursuit and Cortical Mica “free will” expression. For the latter, Curtailment can amend the Goal Pursuit Plan scheduling process, similar to the concept of human conscience.more ...
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Stored Purpose - Agency

Stored Purpose
A better name than existential entities was needed for the workers of a metacomputer. We replaced the word person with existential entity in the definition below, and it fit the requirement precisely

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Stored Purpose - Philosophy of the Mind

Stored Purpose
To design Stored Purpose, we had to assert answers to many philosophical questions, such as the natures of Existence, Reality and Intelligence. Taking a lesson learned from the difficult path of Artificial Intelligence, we decided to avoid the “top-down” approach of defining a mind with “human-only” qualities, i.e. the differences between chimp and man. Instead we opted to “work our way up,” first defining the differences between a rock and rice grass. This lead us to focus on creating fundamental mechanics of Goal Pursuit, Universal knowledge, existence and the development of the Existence model architecture (Ema). Ema was a gold mine, as it could be used to design almost anything, using a simple trick called recursion.
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Stored Purpose - Construction - Purpose Hypergraph

Stored Purpose
We formalized the combination of Platonic Forms and Contextual Fabric as a new information format we called the Purpose Hypergraph.

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Stored Purpose - Construction - Contextual Fabric

Stored Purpose
Once a system could store the essence of a symbol so universally that the Goal of lawn maintenance could be applied on Earth and on Mars, a way was needed to store information at specific points in context. This would allow a machine to distinguish between a memory of an actual event on Earth and a fictional event from a story about Mars, or know the precise differences between Greek and American yogurt.more ...
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Stored Purpose - Construction - Purpose

Stored Purpose
Storing a Goal as a Platonic Form was useful, but it was clear that for a system to have real, practical purpose, it must be capable of processing more than one Goal. The Platonic Form’s design was made flexible enough to combine an unlimited collection of Goals.
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Stored Purpose - Construction - Platonic Form

Stored Purpose
Before a Goal Form could be written to solve world peace or more practically, mow a lawn, we needed a way to describe and store the meaning of a Goal and the “essence” of all its parts. This would enable a machine to recognize the concept of “mowing the lawn” even when reading a fictional story in which a character trimmed organic crystals outside her home on Mars.more ...
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Stored Purpose - Existence Model Architecture - Ema

Stored Purpose
Once timespace theory proved it possible to make a machine that “exists”, Ema was created as physical architecture to create timespaces. Ema was designed in three parts, Construction, Translation and Expression. Like buying a new car, once Ema was developed, we started seeing her architecture in the design of other things, such as atoms, cells and the ecosystem.more ...
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Stored Purpose - Timespace Theory

Stored Purpose
Existence requires a continuous processing of alignment between measured and Identity states. In a system of any complexity, the information flow needed to sustain it might be impossible due to constraints in our universe. To get around potential constraints, the speed of light in particular, the design was split into simpler problems. This is an old trick used by scientists and mathematicians. Break a problem into smaller parts and solve what you can today, hopefully learning enough in the process to solve the rest another day.
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Stored Purpose - Existence

Stored Purpose
It may seem academic, but something must “exist” before it can know which Goal to pursue. Once something puts a stake in the ground and declares, “I exist,” and then defines the nature of that existence, such that, “I am a single celled organism that swims in warm salty water,” then it can know which Goals to pursue on its own.more ...
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Stored Purpose - Goal Pursuit

Stored Purpose
There were two “breakthroughs” needed for the metacomputer to be a host for intelligent thought, Goal Pursuit and computable existence. We didn’t initially know either was important, but we did know waiting seconds for fleshy fingers to type on a keyboard or touch display had a negative impact on the performance of a machine able to execute billions of instructions per second.
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Stored Purpose - Metacomputer

Stored Purpose
The overall structure and requirements for the Metacomputer dates back to 2006, when we were just beginning to figure out how to make it all work. Today, the stored purpose architectures include hundreds of patent pending components, most of which can be built using off the shelf electronics and open source kernels.

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Stored Purpose - Core Concepts

Stored Purpose
The concepts of Stored Purpose can be difficult. This is because we may lack needed vocabulary to consider a world, in which anything but us, is intelligent. Also, once we seriously consider the Purpose of intelligent machines, we are immediately faced with a far more difficult question, specifically, what is our Purpose, what will we do, what will be choose to become?more ...
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Stored Purpose - Terminology and Etymology

Stored Purpose
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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Stored Purpose - Hypothesis

Stored Purpose
That a system can be designed to “exist” at an arbitrary or abstract state of higher organization and lower entropy
such that elements of the system will sustain the defined state indefinitely for the duration of its existence.


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Stored Purpose - Introduction

Stored Purpose
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.
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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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Automation Appliance Platform

Automation Appliance Platform
A minimal Stored Purpose computer consists of two archiving hosts and an interface instrument running the following agent classes a.boot, a.nexus and a.archive.
Kernels
Kernels are minimal enablers that make it possible for the Operating System to run on each Instrument type. They provide an interface between logic and the underlying technology. Kernels must be very small and reliable.
Metacomputing OS
Currently, the Automation Appliance reference platform has no distinct operating system. Development requires a build of kernels, communications primitives, memory propagation, core agent templates, core knowledge, core technology and base instrument services.
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Automation Appliance Design

Automation Appliance Design
The metacomputer consists of three types of components: objects, symbols and logic.
Objects are the physical and data elements of the metacomputer and may include items such as: display instrument devices, lighting controllers, legacy stored program software and documents.
Symbols are the knowledge of the system and may include items such as: the Platonic Forms of a door or “Greek” yogurt, or a Purpose to maintain hospital lawn.
Logic is the algorithmic processing of the system and includes functions such as: processes of the General intelligence algorithm (Gia), the Synthetic File System (SFS) and curtailment.
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Automation Appliance - Overview

Automation Appliance Overview
The Automation Appliance (Automapp) is a metacomputer designed and developed in the United States by wJones. It was created as a reference platform for development of enterprise, factory automation and consumer product solutions based upon the Stored Purpose computer architecture, and is not offered for direct sale.
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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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Statement on Automation and Small Business

Statements
The face of small business has radically changed over recent decades as community designs have physically separated retail establishments from residential dwellings. Franchises have replaced most neighborhood based “mom and pop” shops knowledgeable of both customers and products. Remote manufacturing and operationally efficient distribution companies have replaced community based artisans and manufacturers. Intelligent Automation offers a path for a return of the artisan and the small retailer, as smart tools will enable even the smallest business to participate in a new model of coopetition as they become both customers and suppliers to the competition.
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Smart Machines OK

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



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Statement on Labor and Automation

Statements
On Feb 15, 1962, US President John F. Kennedy declared automation “as the major domestic challenge of the Sixties -- to maintain full employment at a time when automation, of course, is replacing men.”
Nearly fifty years later, a typical American worker made no product of labor. He shopped in malls and markets where except for groceries, medicines, financial services and easily copyable media, the goods he or she consumed were made in another country and often bought with money borrowed from the savings of citizens in another country.
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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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Stored Purpose Computer

Stored Purpose Computer
A machine apparatus and methods for creating and hosting intelligent agents able to perform automation services, methods for adding intelligence to commercial electronics and other elements of invention.

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Communicator

MobilePC
Two watt personal computer will be available in several forms, tailored to specific applications.
The options will range from fully enclosed units for industrial use, to wall mounted room displays, to pocket devises for office and personal use.
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Background: Stored-Program Computers

Background: Stored-Program Computer
The Digital Computer at age Sixty-five
Its design, called stored-program was developed between 1936 and 1946. Alan Turing defined binary program logic in 1936 in a thought experiment and designed the Automatic Computing Engine ten years later. Presper Eckert and John Mauchly designed and built the first working stored-program systems, ENIAC and EDVAC between ’43 and ’46. John von Neumann documented and structured Eckert and Mauchly’s work3 in his 1945 First Draft Report on the EDVAC computer. His draft quickly became known as the von Neumann Architecture.
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Limitations of Stored-Program Computers

The Digital Computer at age Sixty-five
Its design, called stored-program was developed between 1936 and 1946. Alan Turing defined binary program logic in 1936 in a thought experiment and designed the Automatic Computing Engine ten years later. Presper Eckert and John Mauchly designed and built the first working stored-program systems, ENIAC and EDVAC between ’43 and ’46. John von Neumann documented and structured Eckert and Mauchly’s work3 in his 1945 First Draft Report on the EDVAC computer. His draft quickly became known as the von Neumann Architecture.
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Illustration: Musician

Musician
The goal of this scenario is to illustrate use of Intelligent Computer technology in the home.  
There are several characters mentioned, Richard - the writer and musician, Janet - his wife, Jimmy - his son, Trent - a band member and Dahlia - Trent's daughter.
The scene takes place in the family home and starts with Richard home alone at the piano.
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Illustration: Hospital ER - Part 1 of 2

Hospital ER
The goal of this scenario is to introduce the concepts of efficiency levels, prediction, context space (the ER entry area), and network visibility (cannot see the parking lot). There are two key characters, Janet - Director of Ecopoesis at a large health care organization and Richard - Janet’s musician husband. The scene takes place in the ER.
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Illustration: Hospital ER - Part 2 of 2

Hospital ER
The goal of this scenario is to introduce the concepts of efficiency levels, prediction, context space (the ER entry area), and network visibility (cannot see the parking lot). There are two key characters, Janet - Director of Ecopoesis at a large health care organization and Richard - Janet’s musician husband. The scene takes place in the ER.
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Illustration: Efficient Homemaker

Efficient Homemaker
An executive who works half days on Fridays loves making cherry pies. She loves selecting cherries, kneading dough, caramelizing the sugar and butter when making a perfect crust. As a result, even in the limited hours she has available each week, she makes more pies than she or her family should eat.
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Illustration: Doctor's Office

Doctor's Office
A doctor chooses stored purpose metacomputer technology as part of an in home healthcare initiative. She installs a metacomputer host and terminals in her office as well as a beacon system that allows patient’s agents to register arrival when approaching the office.
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Illustration: Textiles

Textiles
A knitting club well known on Craigslist for selling beautiful sewing projects, decides to start its own textile company. They buy a metacomputer for the company with a nexus agent, a camera instrument and two weaver bots.

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Illustration: Transportation

Transportation
A family drives to a shopping area in downtown San Diego. They stop at a railroad crossing for an approaching train. When the train speedily passes before the car, another train breaks and waits. Mom works for Amtrak, so trains are a frequent family conversation topic. One of the twin teenage daughters asks, “Mother, could these two trains have collided?”
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Illustration: Littlebox Retail

Littlebox Retail
A teacher with an assistant agent goes shopping by car. He is interested in finding books and materials needed for an art project he will conduct with students.

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Illustration: Bigbox Retail

Bigbox Retail
In a Bigbox Retail establishment, an official store Greeter leads interactions with all guests to the location.
As each customer arrives in the store, they approach a registration kiosk and touch their personal mobile communicator and form of payment to a grey check-in display. This enables them to use their mobile device as a “shopping disk” for the length of stay. If they don’t have a communicator, they can pickup an in-store disk that looks like a small calculator.
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Illustration: Truly Intelligent Office

Intelligent Office
When I arrive at the office, automated security opens doors and climate control aligns with my last preferences at home. My work records are neat and orderly, in folders I didn’t organize. Before I've read an inquiry from a Customer, my assistant agent compiles research and prompts resolution options to my headset which I approve, silently.
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Illustration: A place for Stored Purpose computers in my practice?

Medical Practice
The lab notes the proximity of my patient, loads the scheduled imaging procedure, and illuminates the suite before we even press open the door. When scanning is complete, the results are displayed on the near HD display with potential anomalies highlighted for my review. After our consultation, my instructions are exchanged automatically with the pharmacy nexus and the patient’s assistant agent, helping to keep him on track with medications and exercise.
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Illustration: How could Stored Purpose computers help education?

Education
When we enter the classroom in the morning, the students' computers have all the handouts, assignments and references I scheduled for the day. My prepared presentations auto-play at the right time. The system knows each student's learning style and abilities and provides them with the smartly tailored subset of learning materials. Parents' calendars are auto-synchronized with scheduled trips, conferences and recitals. The system monitors student progress and provides me with a comprehensive report and recommendations...
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EC Container 6