International Cognitive Computing

PO Box 602
Lakeside, AZ 85929
cambo9@aol.com

CAMBO

Patent. Application Number: 61/278,422.

•Abstract of the Disclosure.

•The invention’s name is CAMBO an acronym for Computer Aided Management By Objective. The title is a “multi-expert system generator”, and

the vision, an artificial intelligent bridge between technology and the ability to automate the instruments of the MBO methodology, namely: Charters, Organization Charts, Operational Planning, Project Management, Performance Planning, Job Descriptions and others all containing the knowledge, expressed in “English grammatical sentences”, upon which an enterprise conducts business. It would require the design of a unique combination of advanced methodology and technology capabilities built upon and work in concert with current state of the art, “Data Normalized”, relational data base str

ucture. The AI Bridge would include a unique definition for a unit or element of knowledge, an advanced structure for a Spatial Relational Knowledge Base and a fifth generation programming language to support a Natural Language Processing interface. See a successful CAMBO installation video.

Patent Application Example.

Emergency Service Medical Systems Example.
Brain Mapping System.
Knowledge Engineering Storyboards.
Knowledge Engineering Storboards Map Knowledge Pathing.
The point is that CAMBO is an intelligent computer TOOL that is used to MAKE OTHER intelligent computer TOOLS. The CAMBO methodology for Knowledge Normalization gives us a Relational Knowledge Base structure that opens the door to the next generation of application discovery, just as the methodology for DATA NORMALIZATION gave us Relational Data Base structure, upon which ALL computer applications are founded.
Patent Application Example.

Brain Mapping Protocols.
The introduction of a single expert system generator design.
CAMBO contributing design methodology.
Teknowledge was incorporated on July 8, 1981.
Teknowledge Corporation is in the intelligent systems and software business. Teknowledge's services solutions involve processing application knowledge, and conducting flexible and secure transactions over the Internet. Knowledge processing enables organizations to codify their knowledge, represent it in machine readable forms, serve it to end users on the Internet via agents and forms, and provide value-added application services to businesses and end-users. Teknowledge's projects utilize knowledge processing to provide customers with state-of the-art software solutions that put knowledge to work.

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• Ocean Tomo - Ideal Startup Investment - Patent Auction
Ocean Tomo specializes in the selling and licensing of intellectual property. There are five main groups within Ocean Tomo including: Expert Testimony, Valuation, Investments, Risk Management and Transactions. Ocean Tomo connects intellectual property with potential buyers via auctions and online databases as well as operating the Ocean Tomo 300 patent index.

ICAP Ocean Tomo IP Think Tank & Live Auction events are the most distinctive 2-day events in the industry. Held at five-star properties and historical dinner venues, IP Think Tank & Live Auction events are attended by Fortune 1000 IP and licensing professionals, C-level executives from small and mid-sized companies, investors, individual inventors, attorneys, and press. The events include a day and a half CLE-approved conference focusing on cutting-edge intellectual property issues, a Gala Dinner, and Live IP Auction.

The value in this invention is four fold.

Employee Communication.

•· First, the ability to: Identify, Capture, Codify and Relate 'knowledge', in a Natural Language opens the door for one person to access the combined talents, skills and experiential knowledge of many human experts.

•· Second, planning: project management, scheduling resources, organizing resources and directing resources will be predicated upon knowledge relationships in concert with data relationships. The kernel logic here is simply that when a computer executes knowledge, in the form of rule sets, the results are presented as data, which in turn gives direction to those rule sets requiring change.

•· Third, the development of systems based upon the new foundation of 'Relational Knowledge' in a Natural Language interface will reach beyond the business enterprise arena to all forms of human endeavor. An example is medical research, for which growth and direction is guided by the results produced from experiments. The ability to: Identify, Capture, Codify and relate these results will exponentially increase the ability to discover, translate and apply treatment modalities. (see section titled 'AI Gene Research')
In the field of engineering (see client demonstration video), the knowledge of senior engineers can be passed onto junior engineers, as it would apply with all fields of human endeavor, knowledge need not be forgotten or lost. A computer Spatial Relational Knowledge Base is the foundation upon which new knowledge is constantly updated becoming the 'shoulders upon which we can stand and see farther'.

•· Fourth, the installation of knowledge based systems in differing human endeavors will have the effect of unifying human experiential knowledge and providing the ability to cross reference a more cognitive and meaningful view of the subject matter.

IEEE is the world’s largest professional association dedicated to advancing technological innovation and excellence for the benefit of humanity. IEEE and its members inspire a global community through its highly cited publications, conferences, technology standards, and professional and educational activities.

QUOTATIONS.

Today's AI is about new ways of connecting people to computers, people to knowledge, people to the physical world, and people to people.

Patrick Winston, MIT AI Lab, 1997
www.ai.mit.edu/director/briefing.html

Feigenbaum, Edward; McCorduck, Pamela; and Nii, H. Penny -- Today's expert systems deal with domains of narrow specialization. . .For expert systems to perform competently over a broad range of tasks, they will have to be given very much more knowledge. ... The next generation of expert systems ... will require large knowledge bases. How will we get them? From The Rise of the Expert Company, 1988. New York: Times Books/Random House, Inc.

Feigenbaum, Edward; McCorduck, Pamela; and Nii, H. Penny -- Consider how much more valuable than data is the company's knowledge. In some cases it's unique expertise. Will the standard methods for protection suffice? . . . Who owns the knowledge, anyway?. . .Who gets to hold the copyright on an expert's lifetime of experience in performing his niche task? From The Rise of the Expert Company, 1988. New York: Times Books/Random Hous, Inc

Feigenbaum, Edward; McCorduck, Pamela; and Nii, H. Penny -- The user of the library of the future need not be a person. It may be another knowledge system -- that is, any intelligent agent with a need for knowledge. Such a library will be a network of knowledge systems, in which people and machines collaborate. 1988. From The Rise of the Expert Company, p. 257. New York: Times Books/Random House

Minsky, Marvin -- Any powerful heuristic program is bound to contain a variety of different methods and techniques. At each step of the problem-solving process the machine will have to decide what aspect of the problem to work on, and then which method to use. A choice must be made, for we usually cannot afford to try all the possibilities. From Steps Toward Artificial Intelligence. Reprinted in Computers and Thought, ed. by Edward A. Feigenbaum and Julian Feldman, re-issued 1995. Cambridge, MA: MIT Press

http://www.ieee.org/portal/ieeetv/viewer.html?progId=110044

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PO Box 602
Lakeside, AZ 85929
cambo9@aol.com

International Cognitive Computing

CAMBO

Patent. Application Number: 61/278,422.

Patent Application Example. Emergency Service Medical Systems Example. Brain Mapping System. Knowledge Engineering Storyboards.

Knowledge Engineering Storboards Map Knowledge Pathing.

Patent Application Example. Brain Mapping Protocols.

The introduction of a single expert system generator design.

Patent Application Example.

Emergency Service Medical Systems Example.
Brain Mapping System.
Knowledge Engineering Storyboards.

Patent Application Example.

Brain Mapping Protocols.