What are New Methods Technologies?

What are New Methods Technologies ?

Integrity without knowledge is weak and useless,
and knowledge without integrity is dangerous and dreadful.
Samuel Johnson (1 704), English author, lexicographer

New methods technologies are the processes by which: people who have ideas can use their ideas to solve problems currently without answers.

New Methods Technologies are the application of existing methods and new methods combined to achieve a desired result in any subject area.

Everyday someone identifies a new idea? Does this idea ever become formulated to create a construct, build a foundation? New Methods technologies are those constructs which provide access to methods that improve the everyday life of all people without further exploitation of any part of society.

In 1982, Information Engineering identified a method to gather and synthesize information. a method for sorting through the facts to arrive at useable solutions to all types of situations. Over the last 17 years we have used our methodology to explore the resultant effects of our case studies.

We concluded that:

All information comes to us as a set of facts. How we relate to these is governed by a set of rules which we call context. How facts maybe associated with each other depends on experimental analogs. To answer a question or explain something we martial our facts and try to describe why these facts fit the analog we propose. This is basically a game of pattern comparison. The justification for education is to provide the individual with a large library of analogs in which one may store the experiential facts of ones life. The acquisition (1), verification (2), categorization (3) and summarization (4) of facts have become one of mankind's principal activities.

The appearance of the computer,electronic communications and the web has radically altered the time economics of all of human information processing. Although acquisition and verification have not changed in difficulty the nature of the interpersonal interface has. The same advantages in terms of speed and ease of transfer of information offered the simple one cell lifeforms by their development of into multicelled creatures is now available to the race. The telephones and sonar are ears. Radio and radar and television are eyes. Computers and switchboards are paralleled in the organic world by the emergence of ganglia and neuron bundles as information processing centers. Fiberoptic cables are synapse. Etc.

The above comparison of information handling techniques in organic and electronic systems is an example of information engineering methods. Clearly there are insights to be gained by a careful examination of the organic information handling system which evolved over hundreds of millions of years. Even more important ideas can be derived from the pattern matching of the two systems. For the information engineer the most important difference in these systems appears in the error correction mechanisms or feedback loop. In organic information handling systems (oihs) the only mechanism for change is slight random variation the validation of which takes tens of thousands to millions of reproductive cycles. With human intervention electronic information handling systems (eihs) mutate every generation and even self correct within the same generation.

The above is description of the effects of oihs on eihs but information engineers would also want to consider the effects of eihs on oihs. The acquisition of facts or at least the symbolic representation of same can be obtained at near light speed. Verification is now only limited by contextual similarity and appropriate categorization. In fact with the enormous advances in oihs to eihs interfaces large numbers of humans will congregate and specialize to take advantage mankind's special skills in the area of data synthesis. Similar benefits should accrue to this projected human electronic conglomerate as have already demonstrated by the single cell multiple variation of purely organic life.

In our early information gathering phase we were most impressed by the original works of Shannon and Weaver from Bell Labs. Dr. Shannon's work roots back as von Neumann has pointed out, to Boltzman's observation, in some of his work on statistical physics (1894), that entropy is related to "missing information" inasmuch as it is related to the number of alternatives which remain possible to a physical system after the macroscopically observable information concerning it has been recorded." ("Communication Problems of Level A" an interpretation of mathematical papers by Dr. Claude E. Shannon of the Bell Telephone Laboratories"). The words "missing information" sounded the call by raising many questions. What is missing information? Where is missing information found? How can it be collected and organized? What would be the resultant effect?

In our quest to identify a reasonable and sound explanation we turned to the of encyclopedia's R. Buckminister Fuller . With Dr. Fuller's permission (granted in 1982) we extracted the specific terminology we would use to build our foundation. We added the decision-making model identified in 1977 created by Janis and Mann of Yale University. By combining two existing methods, we had identified a new method for collection, synthesize, and analysis of information. We identified that all methods can be combined to produce New Methods Technologies.

In our society today we see new drugs approved by the FDA, better tools to design bridges, nondestructive testing processes to aid our space program to Mars. All of these discoveries are the product of combining new methods + existing methods of information.

To suite, we clearly understand the most valuable medium in the universe is always the information. With this model we BUILD BRIDGES TO THE 21ST CENTURY !