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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Tags: Metacomputer, Intelligent Computer

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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Tags: Metacomputer, Intelligent Computer

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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Tags: Metacomputer, Intelligent Computer

List of reference materials for the series.



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Tags: Genetics, Biotechnology, Artificial Intelligence, General Intelligence Algorithm, Existence Model Architecture

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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Tags: Genetics, Biotechnology, Artificial Intelligence, General Intelligence Algorithm, Existence Model Architecture

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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Tags: Genetics, Biotechnology, Artificial Intelligence, General Intelligence Algorithm, Existence Model Architecture

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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Tags: Genetics, Biotechnology, Artificial Intelligence, General Intelligence Algorithm, Existence Model Architecture

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?

In three articles, we explore how the Stored Purpose' Existence model architecture (Ema) may change our understanding of genetics and neurological sciences.
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, 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 #3, Predicting the Nature of Genetics, a Deeper Dive
As a continuation of Article #2, we explore our preliminary predictions in greater detail citing recent studies.
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Tags: Genetics, Biotechnology, Artificial Intelligence, General Intelligence Algorithm, Existence Model Architecture

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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Tags: General Intelligence Algorithm, Intelligent Computer

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?
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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Tags: Intelligent 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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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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Tags: Stored Purpose, Existence Model Architecture, Metacomputer, Intelligent Computer

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



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Tags: Intelligent Computer

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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Tags: Stored Purpose, Existence Model Architecture, Metacomputer, Intelligent Computer

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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Tags: Stored Purpose, Research

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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Tags: General Intelligence Algorithm, Existence Model Architecture, Intelligent Computer, Research

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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Tags: General Intelligence Algorithm, Existence Model Architecture, Intelligent Computer, Research

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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Tags: Intelligent Computer

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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Tags: Metacomputer

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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Tags: General Intelligence Algorithm

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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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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Tags: General Intelligence Algorithm

Yes. All. Let’s discuss.

These are questions a company should answer through a careful planning process.
We can assist.
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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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Tags: Stored Purpose, Existence Model Architecture, Intelligent Computer

A person or organization’s Agency is somewhat analogous to the Applications directory of stored-program based computers. Each agent fulfills purpose serving one or more clients which may be a person (assistant class), an organization (nexus class), a class of instruments (instrument class) or one or more agent or human entities (all other agent classes). Agents each process Purpose for themselves and for supported clients. It is important to note that even though an agent may have a primary responsibility to process and support client Goals, agent Fabric and historical memory is always relative to the agent’s self and as such, different from the Fabric of the client.
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Tags: General Intelligence Algorithm, Intelligent Computer

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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Tags: Metacomputer

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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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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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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Tags: Stored Purpose, General Intelligence Algorithm, Existence Model Architecture, Metacomputer, Intelligent Computer, Talk Play Jam, Home Automation, Raise Family, Design Edit Organize

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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Tags: Healthcare Automation, Illustration Hospital ER, Stored Purpose, Intelligent Computer, General Intelligence Algorithm, Existence Model Architecture, Metacomputer, Facilities Automation

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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Tags: Healthcare Automation, Illustration Hospital ER, Stored Purpose, Intelligent Computer, General Intelligence Algorithm, Existence Model Architecture, Metacomputer, Facilities Automation

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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Tags: Stored Purpose, General Intelligence Algorithm, Existence Model Architecture, Metacomputer, Intelligent Computer, Enterprise Automation, Home Automation, Raise Family

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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Tags: Healthcare Automation, Stored Purpose, Intelligent Computer, General Intelligence Algorithm, Existence Model Architecture, Metacomputer, Facilities Automation, Enterprise Automation

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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Tags: Stored Purpose, General Intelligence Algorithm, Existence Model Architecture, Metacomputer, Intelligent Computer, Enterprise Automation, Design Edit Organize

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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Tags: Stored Purpose, General Intelligence Algorithm, Existence Model Architecture, Metacomputer, Intelligent Computer, Enterprise Automation

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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Tags: Stored Purpose, General Intelligence Algorithm, Existence Model Architecture, Metacomputer, Intelligent Computer, Enterprise Automation, Facilities Automation

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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Tags: Stored Purpose, General Intelligence Algorithm, Existence Model Architecture, Metacomputer, Intelligent Computer, Enterprise Automation, Facilities Automation, Intelligent Computer

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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Tags: Stored Purpose, General Intelligence Algorithm, Existence Model Architecture, Metacomputer, Intelligent Computer, Enterprise Automation, Facilities Automation, Design Edit Organize

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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Tags: Stored Purpose, General Intelligence Algorithm, Existence Model Architecture, Metacomputer, Intelligent Computer, Enterprise Automation, Facilities Automation

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...more ...

Tags: Stored Purpose, General Intelligence Algorithm, Existence Model Architecture, Metacomputer, Intelligent Computer