Technological Innovation as
an Evolutionary Process
On the response from the academic community
Short “Systems AS-IS”
Paper
Short “Finding the Balance” Paper
Documents
gathered or developed by BCNGroup founders have identified a well-defined
behavior related to IT consultant working on federal projects. The behavior is similar to that seen in
clinical setting when there is spousal abuse.
The behavior is an avoidance behavior that is seen in interactions
between government clients (not really wishing to allow innovation to occur)
and computer programmers (who know that their job depends on submission).
Quote from internal report: Behavioral Evidence of a
Pattern of Abuse of Power
A specific set
of conversation behaviors by the two programmers, xz and zy, and by the IT
project manager, xy, evidence the consequences of this pattern of abuse. The conversation behaviors include
habitually deferring any question that would expose the limitations of the
software, the selected document management system, data model. The deferring behavior took two forms,
(1)
actually
deferring all, or most, simple questions about the data model for a later date
(We conjecture that this was under specific advise from the (government ageny)
management),
(2)
actually
answering a different question that the one asked and acting as if this was the
correct answer. One can observe that
this conversation behavior is endemic and not natural.
We suggest to
the IG (Inspector General) that the deception intended and achieved is
documented and can be demonstrated by interviewing the computer programmers who
are on the team. November 14th,
2003 e-mail from the project manager to a member of the university describes
this behavior, as does hand written conversational notes between the manager
and a member of the university made during the core members team meeting on
November 6th, 2003.
The
study of responses to long-term abuse is important in the context of
understanding funding requirements for the knowledge sciences. The knowledge sciences is inhibited because it
is unknown to many and because there are individuals who’s ideological
orientation is adverse towards any type of change, particularly change that
involves a re-examination of first principles.
Private
conversation within the IT community often will expose plans and behaviors
directed at keeping a level of confusion about software and exploiting this
confusion so that the job is never quite done.
These private conversations are protected by denial, even in formal
setting or in a setting where testimony is made under oath. The reasons for this behavior and its denial
are complex, but should be recognized as one cause of the over-expenditure by
the federal government on IT services.
Evidence
can easily be developed regarding the planning and the avoidance
behaviors.
However,
the fundamental theorem on reduction ( + ) suggests that
the job of creating software eventually becomes completed. An unpublished theorem by Dr Harold Szu
provides a second framework for conjecturing that computer science will
eventually be completed. Prueitt gives a
visual representation of the theorem. An
analog to settling land in the land rush on Oklahoma in the 1889 is useful. At one point to ownership is
distributes. However, in the case of
software, the ownership has a duration and if the patent is about something
purely mathematical in natural, abstract in nature, then the patent may be set
aside when challenged in court.
The
theorems on reduction lead to a conjecture that there is a finite
characterization of computer science.
The two implications are
1)
that
at core there is a specific set of categories of computer processes
2)
in
each of these categories of computer processes there is an optimal way of
achieving the function that this category achieves
The
failure of IT is driven by an avoidance of this conjecture.
Disclaimer: What the theorems on reduction do not imply is
anything that is analog in nature. In the
natural situation, there is structural holonomy to finite characterizations but
the category theory in this regards remains open. So optical computing and quantum computing will present new types
of characterizations beyond what will be established about Turing
machines.
The
nature of human thought is deemed, by AI/SW point of view, reducible to
logic. Our position is that human
thought is a physical phenomenon and logic is not. This bit of science separates the BCNGroup concept of
Anticipatory Web of Information from the Semantic Web, discussed by Tim Berners
Lee.
In the BCNGroup alternative to AI/SW we positively address the issue of long-term abuse from one community onto another community, and (perhaps more importantly) an alternative to the AI/Semantic Web vision for the future. Once the light of day is shone on this abuse issue, then our society will be able to move on to a more rational expenditure of funds on communication systems.
In this alternative, the growth of computer science funding levels off and then will be sharply reduced as the task of creating a functional understanding of what a computer can do and not do is codified in practice.
The first step is a requested $60,000,000 to create a Knowledge Science K-12 curriculum.
This alternative, to the AI/SW vision for the future,
conjectures that the social/economic energy now spent in confusion, over what a
computer can do, will be spent in the proper application of human-centric
information production (HIP) on critical
social problems such as those creating asymmetric threats and poverty and
environmental degradation.
The
immediate value proposition is not a business proposition, but a National
Security one.