Mapping the expression of social symbols
Founder, BCNGroup.org Inc
CEO, OntologyStream Inc
Research Professor (1991 - 1994), Georgetown
University
Research Professor (1998 – 2001), The
George Washington University
This
paper was developed with grant support from the BCNGroup,
The
BCNGroup was a not for profit Corporation located in Chantilly Virginia.
Abstract: It is proposed that new computer based “concept
aggregation” technology can be used to map the expression of social symbols,
and that through this mapping processes our social scientists will be able to
see the causes of terrorism. The Roadmap for
Anticipatory/Semantic Technology Adoption was developed for US
Customs. Fundamental problems exist
with the current IT.
The new technology is find application in the
enhancement of knowledge sharing within
communities. One of the
leading contenders for a break-through technology supporting new forms of
people to people communication is the digital Glass Bead Game. The design of the d-GBG
is based on deep research in cognitive and quantum neuroscience, and will use semantic extraction
and ontological modeling. Concepts expressed into specific parts of
the Internet will be aggregated into abstract representations having a form
related to, but not the same as, the W3C standards OWL and RDF. See alternative to TBL’s layer
cake model of SemWeb.
Sections:
Social Constructions and
Symbols
Civilian dual function of
anticipatory technology
Technology for Memetic
Detection
National Project to Establish
the Knowledge Sciences
On the Role of Computer
Science in Social Change
Informational Localization and Globalization
Symbols expressed in social discourse provide a
means for communication. These symbols
exist in many forms, including as measured in patterns of verbal and written
expression. Unfortunately, academic
centers, often without intended to, support polemics that disallow common
understanding to focus on facts regarding the nature of social discourse, and
even the nature of human language. {+} The issue has to do with institutions that
move more slowly than one might imagine.
We observe that the function of a polemic is to
protect certain well-established beliefs from any effective challenge. An entrenchment is observed that arises when
many polemics function together.
In social systems, the individual members of social groups recognize and produce symbols as part of normal discourse. As pointed out by humanities scholar, Julio Varela {***}, symbols are important instruments for complex social processes. But as pointed out in various literatures, symbols themselves are interpreted by human awareness.
The recent paper in Psychological Bulletin (2002, Vol 129 No 3 339-275), “Political Conservatism as Motivated Social Cognition” developed some of the issues related to the formation of fundamentalist belief as motivated by an avoidance of uncertainty in the presence of fear. The paper suggests an underlying substructure to social forces. General principles are suggested.
In the case where the social system is under great stress, the formation of fundamentalist beliefs can be anticipated. As this expression occurs, the expression itself can be measured {**}. The measurement can lead to decreases in uncertainty, and thus to a reduction of the power of fundamentalist beliefs. A reduction of the influence in Christian and Moslem fundamentalism is essential if our society is to bring the War on Terrorism to a successful end. The theory to develop memetic detection technology exists but cannot be managed by the current community of defense contractors and Information Technology vendors, in our opinion. So we have a problem, which cannot be solved unless there is informed leadership or something unexpected happens to cause a shift.
This shift may be seen as a shift in the origin of information structure. This origin of control has been largely subsumed by political, religious and media sources, each sharing simple sense of coherence; but excluding more complex ones. The shift in control over the meaning of terms and phrases is anticipated based on the analysis provided below.
We conjecture, along with others, that many simple social constructions develop when a population is under stress. Various observations, like those of the authors of the paper mentioned above, indicates that stress induced social symbols co-occur with periods of social disorder and may be instrumental in the onset of a feedback loop that aggravates the social disorder. The feedback spreads the simple social construction. Things like Fox news and the opinionated “talking heads” accelerate a resonance in this feedback.
US media focus in a few crime stories may be an excellent example of the type of social disorder we are experiencing. How can these stories be worth the time spent on this as a news item? The answer is that it is not “news”. Most of the programming segments, presented by Fox news television channels, are simple mechanisms that occupy the origin of control over the social discourse. Stress induced social symbols are often expressed as an extreme form of fundamentalism, that is to say, as a sign system for memetically simple beliefs that cannot be effectively challenged intellectually. The mechanisms employed by the media talking heads are specifically designed to control the social discourse, and to avoid any discussion of core causes of crisis. This behavior allows the invested powers, such as venture capital, religious groups, and corporations to exercise some control over how thought emerges in the United States, and the world. The exercise is, however, limited by dissatisfaction, even if this dissatisfaction does not find a means to public expression.
The specific co-occurrence patterns in language use can be measured at the ontological substructural level using a generative methodology discovered by Tom Adi (1986) and now being used as part of the 2005 Challenge Problem proposal from the BCNGroup to ARDA (Advanced Research and Development Activities). We use the term “ontological substructure”. Adi’s work is one of five or six innovations that we have a deep comprehension of and which would have been integrated for use by the intelligence community if funding had been found.
With the anticipatory technology one can measure the presence of fundamentalist expression and direct social attention to what is being said, why it is being said, and to possible negative/positive consequences of the expression. The evidence that this claim is true is simple and straight forward. The reader is encouraged to contact the author or the individual’s whose work the anticipatory challenge would use.
But this type of technology is outside of what has been funded by the many funding mechanisms. (***)
The problems faced by the American Administration are difficult ones. These problems are made more difficult because of the IT procurement failures. This failures are rooted in the known limitations of classical mathematics (see, for references [*] ) and the type of scientific reductionism that is easily criticized, but which will not go away. The limitations are reflected in a single mindedness of the W3C specification standards, in particular RDF and OWL technical insistence that terms and phrase has unique definitions that do not change. [1]
The evidence that complex solutions are suppressed is available.
For example, one among many, the BCNGroup offered Thursday, October 21, 2004, a Challenge Problem in response to a Broad Area Announcement from ARDA. This offer was peer reviewed, and the results of the peer review were promised, but never delivered. We simply got a polite rejection notice by email. The winners were not announced. Mitre was the organization responsible for the peer review. One simply looses transparency on peer review anytime there is a question regarding the narrowness of the peer review.
The submission and rejection of our proposals, and others that have been along similar lines, follows a pattern. Those proposing similar proposals are, like myself, not owners of the right to solve the problem. Those that do have the ownership of the problem do not want to solve the problem, since the problem itself is the source of funding and the sense of self-importance.
Our technology was designed (in early 2002) to effectively and accurately inform us of who may be contemplating terrorism and what their geographical location may be. Since then we have reapplied the technology to document management for the FCC, and to commodity transactions for US Customs. But in each case, as the incumbency powers come to recognize that our proposals actually resolved non-removeable problems with the current practices, the funding was removed. Evidence for this assertion was gathered and over time discarded because no one would listen to the complaint.
We believe that our technology would radically increase the measure of fidelity in information structure. We are able to make a distinction between what is information, that might be misleading or incorrect, and information that is correct. Our focus was on terrorism not so much for what has happened, since much greater disasters occur in a regular basis, but because of the danger of terrorist use of weapons of mass destruction. Our inability to get the right to participate in our own protection has been daunting.
If more transparent information structure could be harvested, we expect the foreign threat to diminish and the stress leading to fundamentalist expression, at home, to also diminish. What is sought is a type of clarity that comes from very slowly working root cause issues until the damage being done by various forms of fundamentalism is reduced and eliminated.
Several threat based uses were proposed to U S Customs. These proposed uses included the development of refinements to the Harmonized Tariff Schedule, and the development of a means to use the HTS more effectively in assessing tariffs. Our group developed a large number of PowerPoints developed in his attempt to move this technology forward at Customs. So it is not our inability to explain what might be done, but that “no one is listening”.
We propose, as part of an open source e-commerce system focused on the arts, the aggregation of concepts expressed in the text posted to web logs and other forms of real time (dated) Internet publications. The aggregation has been shown, in operational prototypes, to build adapting ontological models of the social discourse. This technology has been prototyped as a digital “digital Glass Bead Game (see [*] )
In the application of the digital Glass Bead game technology to the New War, our task should have be to detect and understand memetic expressions that are targeting our way of life. We found our efforts blocked by the incumbent Powers, such as SAIC, Bearing Point, BAH, Lockheed martin, IBM and others who are paid tens, or hundreds, of Billions of dollars per year to develop information systems as part of the dysfunctional federal IT procurement process (***).
The digital Glass Bead game technology really exists. But how might it come to be used without destroying our tradition for multi-culturalism and freedom of expression. This task is difficult even if one knows what the potential terrorists are and where the threatening expression is coming from. The anticipatory technology can be shown to address this task directly and with minimal costs and expenditure of time. So the problem is not that solutions to information transparency do not exist, but that real solutions are not allowed to be used because of the incumbent ownership of the right to solve the critical “origin of information design” problem.
The American Nation cherishes multicultural traditions. Our observation is that these traditions are memetically complex, in fact multiculturalism might best illustrate the expression of memetic complexes. In these expressions, reconciliation of conflicts can occur by accepting the differences between expressed viewpoints as being natural and acceptable. One has to drop requirements for global coherence, and adopt a measurement process that honors the origin or cultural identities. There are ontological (natural ontology) reasons why cultural identities cannot be viewed within a single logically coherent viewpoint. Memetic simplexes are more narrowly expressed as a truth that cannot allow alternative viewpoints. As a consequence, within the reductionist viewpoint, any attempted reconciliation process quickly becomes a conflict that can only be resolved by domination of one “side’ over the other “side”.
The funding behavior of federal IT modernization efforts is memetically simple. It is this memetic simplicity that allows problems, other than one problem, not to be resolved. The one problem that IT procurement resolves is how money might be made for IT vendors.
The funding behavior is entangled with other problems. These other problems create a complexity in our analysis about what to do. For example, multi-culturalism may be inhibited by the university system’s fixation on the Great Books as being the core to a liberal education. ( see {+} ) This fixation denies cultural contributions from indigenous cultures such as those in South America, native (Northern) American, Africa, and Asia. (see (**)). This fixation is very difficult to criticize, partially because the criticism focuses on negative aspects of something that has many positive aspects. The focus on negative aspects can, and often does, cause the use of a polemic. The focus on negative aspects of Northern American native traditional cultures is one way in which a larger polemic is established that disallows new contributions to arise from, for example, the Hopi and Navaho cultures.
If one is not careful, then simple concepts push away more complex ones. The result is that a single simple fundamentalism gains political, economic and memetic power over others. The development of memetic coherence is rooted in cultural, however; and thus must lead to international conflicts. Multi-culturalism is thus required if the world is to move away from the edge of disaster.
By holding to principle, the memetic simplex often becomes part of a justification for aggression, as is occurring in all three major world religions, Judaism, Christianity and Islam. When this occurs, the justification for war is reinforced by a rational appeal to simple basic principles. The rationale is expressed in the selection of words by authors and this selection process involves the formation of mental events. The selection of words can also lead to automatic behavioral responses. All of this can be mapped with the digital Glass bead game technology.
The consequences to our, the quantum cognitive neuroscience community, understanding how mental event forms leads us to the development of anticipatory technology based on the measurement of the co-occurrence of semantic primitives defined in the substructural ontology. The generative methodology for the development of substructural ontology is discussed in a thread of the glass bead game is a thread of thought about this development that started October 21, 2004.
Many simplexes are able to exist without leading to un-resolvable conflicts, in spite of the natural reflex to express belief. What can we do about this?
It may be that there is a more complex social belief that has the “power” to moderate the simplex. For example, the current holding back on expression by the al Qaeda terrorist movement may be due to the reality that radical fundamentalism is embedded in something more complex. The “most functional” ability to control or moderate fundamentalism may be held within the mainstream Islamic community. So the Islamic community, as a whole, may inhibit the very concept of using weapons of mass destruction. The War of Terrorism, however may be inhibiting that inhibition and creating the cause for the use of such weapons.
The suggestion that Islamic fundamentalism is best controlled by the Islamic culture is not something that has leverage within the military industrial complex in the United States. There are many reasons for this, not withstanding the reasonableness of the suggestion. For one thing, the transparency that comes with such a suggestion, would also suggest that our own forms of Christian and Jewish religious fundamentalism is causing part of the core problems that produces terrorism. These difficult issues will be better understood by mapping themes expressed by social symbols in social discourse. Centers of Excellence are being planned to engage interdisciplinary groups in the American academic community. Transparency might develop if these centers were formed. Part of the purpose of this transparency must be to honor the true roots of religions. It is here were we find a failure of modern reductionist science, which chooses to disregard spiritual truths.
We make the argument that mapping the social discourse has economic value as well. Restated, we believe that financial mechanisms can be put in place to produces more economic value that the mechanisms consumes.
Interests groups can stay in tune with currents topics within a large distributed community. Product suppliers can harvest the social discourse and use this information to stock inventories, understand customer feedback and concerns. A simple-minded harvest of the thematic structure of social discourse is currently done with polls. The type of conceptual aggregation from web blogs will produce a more complex instrument with which to do what polling has done in the past. Orb (Ontological referential bases) constructions (the author’s invention) visualize the topics and themes in web based virtual communities. Orb based visual icons indicate opinions and does so with a greater detail than polling methods.
President George W Bush has consistently argued that the War of Terrorism is a long-term struggle between civilized societies and a well-organized community of radical terrorists. This source of threat is a complex system of social activities that depends essentially on human communication. The communicative acts inform various members of existing groups and grow new membership. Mapping the set of communicative acts can be done. The transparency has to be publicly viewable, however, or only part of the motivations for war will be understood.
In 2002, the President requested the J-39 system. The J-39 system was designed for concept aggregation from the Arabic. The system became operational in mid 2002. The system was developed in order to map the real time response of the Islamic communities to the President’s speeches. This was during the time that the author was Senior Scientist at Object Sciences Inc. His duties at Object Sciences allowed him to design and propose an improvement on the use of a Latent Semantic Indexing engine. This engine, an algorithm – really, was owned by SAIC. The improvements were not owned.
The author came to feel that the design was beyond the “procurement system’s” ability to just implement without a 100 Million dollar additional contract. More than once he was told to stop work and merely stay in his office. He ended up resigning and the improvement is now mere web pages: see {++}.
So what did the J-39 system do? The bits and pieces of terror community text was acquired in real time and used to, attempt to, know what the social discourse is within and between the embedded community cells. This can be done immediately using the software that the BCNGroup has proposed (to many agencies and in response to many government RFPs). Moreover, the fidelity of the resulting map of terror discourse increases radically as the system is tuned to catch the nuances that characterize terror discourse.
The author believes that up to this point, four years later, no system capable of doing what the J-39 was supported to do, has been developed (even in secrete). This is not because the system cannot be delivered quickly, it is because the government’s procurement system is so completely focused on providing funds for institutions that attempt to solve these types of problems with artificial intelligence and cognitive engineering rather than with common sense.
The ReadWare Orb constructions are small co-occurrence maps and exist at three levels. The instrumentation is made at a letter 3-gram level, where the 3-grams are constructed stems. It is worth noting that Readware has not be applied to Arabic discourse as yet, since the core team has not had the financial resources or client supporting this application. The next level is composed of an aggregation of these 3-grams into constructions that have specified in a semi-automated fashion. The semi-automated process is to be demonstrated using 25 Aesop fables, and concept identification tests made over the entire collection of 312 fables.

Figure 1: Readware stratification of informational bits
(Power Point at {++})
These aggregations of letter 3-grams are placed into a concept frame. The concept frame can be realized as concept indicators with an additional constraint reflecting sets of ontological affordances discovered within the Readware stratified ontology and generative methodology. The concept frame acts as a concept prime, and creates a higher-level abstraction than does a specific word level harvest of text. This higher level of abstraction is also being appreciated in the applied of the generalization of the Readware-Orb generative methodology as applied to the co-occurrence patterns found in cyber attack scenarios (Stephenson and Prueitt, current work). See also the theory at {++}.
Social networking depends on the "symbols" that are exchanged within communities. It may be hard to enumerate the set of symbols into a list, since each of these symbols is dynamic. The relationships between symbols also change, sometimes very rapidly. New symbols emerge and others disappear quickly and without apparent rational cause. In this sense, the social symbols behavior is like molecular reactants in natural metabolic processes. They also express, as does an emergent process, from a quantum linguistic substructure.
Machine ontology, within Tim Burner Lee’s notion of the Semantic Web, may soon "learn" the social symbols using analysis of linguistic variation, phoneme variation in spoken communication, and spectrum analysis of spoken communication (see Bradley’s paper).
The Anticipatory Challenge Problem is predicated on the notion that scientists can use the language of memetics to talk about the social symbols as expressions of memetic complexes. In this technical language memes, like genes, are replicators (Susan Blackmore, “The Meme Machine”, 1999; Richard Dawkins, “The Selfish Gene” (1976) ).
The role of expression and emergence is essential to our predication. We have the viewpoint that expression, is difficult to precisely define since environmental conditions have a role in specific outcomes of the expression. The memetic expression involves a process of replication or mimicry that informs community expression and produces social symbols. The gene expression involves a process of replication that shapes the physical properties of living systems.
Our technology collects and interprets social
symbols, first by representing the symbols in abstract machines, then by
reifying the symbols into a correspondence between the mental events and the
way knowledge has been encoded in computer representation. Knowledgeable humans, who use the machine
encoding as a cognitive aid, judge the correspondence subjectively. This is discussed in our papers on the
nature of Human-centric Information Processing (HIP).
The pairing construction is based on a
stratification of subject class from the representation of an object, and
consequently to emergent small machine ontologies. For an introduction to our notational system
see the Notational System for the
Ontology Referential Base (Orb).
The symbol, of course, is not "equal
to" the words used or the gestures used, but involves the active
interpretation by the people involved.
How is a memetic detection technology possible?
First social scientists have to observe and understand at least part of the natural phenomena involved in shaping the social discourse. Please see the paper by Julio Varela {***}.
Many of the academic disciplines address aspects related to work on the natural phenomenon involved in human thought. The concept of the knowledge sciences was born as a means to integrate these aspects.
We apply general system theory in building a framework in order to conjecture and validate hypotheses. Contemporary scholarship is rich with this type of work and posits that the nature of cognitive expression is similar to the nature of genetic expression. For example, one can conjecture that a feedback loop is instrumental in a communicative resonance within social discourse. The replicator function is found in the feedback loop. But making a mimicing mechanism a subject of philosophical discussion is not what we are interested in. We conjecture that this resonance can be measured.
The resonance is the cause of the feeling that information is coherent (bead on coherence to be posted - Tuesday, August 30, 2005).
The difference between healthy memetic complexes and a memetic simplex may have to do with a decrease in fidelity between the structure of the real natural world and the structure of concepts derived from how cognition shapes human perception. This difference is seen in a measure of small variations within the large invariance that is measured related to a specific linguistic expression. The memetic complex has a rich repertoire that expresses in a less predictable fashion.
The memetic simplex has a very predictable expression. Once one detects the meme’s expression signature, one is able to examine how that meme’s expression evolves. By making an objective study of the signatures, one can make informed, but subjective, judgments about whether or not that meme is supporting, or advocating, aggression against others. For example if, in a conflict, both sides demonize the other side at every opportunity, the expression is likely memetically simple. If no reconciliation process is available, the conflict is likely to continue until one side is defeated.
Central
Question: How can the structure of social discourse be
exposed, so that the cards of reality might be laid public with fair and
objective results from a new science?
Answer:
Cognitive expression
results in what can be identified as linguistic variation in natural language
expression during normal social discourse.
To elaborate on this, the identification of linguistic variation has been instrumented using text-understanding methods. The linguistic variation can be used, by computer programs, as an indicator of the expression of memes, both complex and simple.
Of course, there is work to be done if one is actually going to understand some of the social discourse. For example, the measure of patterns in the linguistic variation has to be reified, or validated, by social scientists.
The technology is not 100%
autonomous. The technology
requires real people who are knowledgeable to work with computationally
produced work product that is produced algorithmically by methods of objective
science.
Thus our society needs a full K-12 curriculum
that develops a foundation supporting the new knowledge sciences. Our group of scientists has outlined this curriculum
and is prepared to extend the curriculum to cover subjects to be taught from
elementary school to post graduate education.
The curriculum will help the average American
citizen to better understand the philosophical and technical issues related to
our increasing understanding of human knowledge, human knowledge sharing and
human social behavior
We have communicated, in person
and through correspondence, with Dr. David Alberts, Director of
Research and Executive Agent for DoD C4ISR Cooperative Research Program. His work expresses the claim that
intelligence organizations must change “to fully leverage the power of
information” (page 87 – Network Centric
Warfare, David Alberts – 1999). We
claim that there are some real problems with most common notions about how
intelligence organization might come to leverage the power of information, when
this information is derived from a relational database. In spite of this concern, we feel that the
anticipatory technology will be developed in the near future and that both the
intelligence community and our society at large will have to learn how to deal
with this technology.
It is true that cultural barriers are an issue
within the Department of Defense. But as scientists we also see a second
problem, hiding behind the first. This
second problem is with the nature of the current generation commercial computer
software. The role of computer science
in not allowing a required change is only a partial role. Many other things are impacting the
non-evolution of our political/economic/educational systems.
We claim that the limitations of Information
Technology are not something that can be overcome ever – if we depend
exclusively on the computer science.
Looking to the departments of computer science will only reinforce a
false authority that these departments have developed.
Why? It is
because the computer science itself, like classical mathematics, is based on
abstractions. Both mathematics and
computer science depends on a set of abstractions that in turn depend on a
simplification of our cultural theories. A formal framework, both Newtonian and
Hilbert in nature, does not lead to absolute truth about those things that are
essential to the human spirit, or even to understanding ecological
processes. The classical framework is
too simple to be both universal and situational. The simplification involves the production of a set of axioms and
a set of inference rules and the generation of the entire body of mathematics
from these fundamental elements.
The next evolution of science will follow the
path started by some parts of what is now regarded as outside science. I will leave a definition of what is now
outside of science under developed, for now, simply because I cannot create the
proper language to allow what I might say to be “left alone”. What is easier to do is to talk about the
fact that a limitation has been recognized almost universally.
For a long time in our history, this development
of consistent and formal abstractions has been one of the most important keys
to our social and economic success.
However, at one point scientists in the biological sciences begin to
realize a certain type of limitation on those types of abstractions. Mathematics itself points to its own
limitation. The mathematicians see this
in the theorems of Kurt Godel, who in the early 1900s developed formal proofs
that mathematics is either incomplete or inconsistent. This limitation is widely talked about
within the Academia.
The Godel theorems can be marginalized as not
being important. The observation can be
made that Hilbert mathematics, the most formal interpretation of mathematics,
has found great successes in the engineering disciplines. But medical and biological scientists
directly observe the failure of mathematics to address the indeterminism in the
causes and behaviors of biological systems.
The unique, and very hard to define, properties
of living systems is not the only sets of observed properties that seem to lie
outside of the classical frameworks.
The best example of this is the quantum mechanical systems. Over most of the 20th century,
scientists have struggled with these limitations from mathematics, while
enjoying a partial success that has been seductive and which sometimes leads to
the marginalization of the failures.
One can make the question empirical. One can observe that computer science
depends on a specific set of assumptions, which can be shown to not be
absolutely valid and which fail to model the real world in critical tasks.
Our reading of Dr. Albert’s work gave us some
cause to believe that our message, and our science, would resonate with
him. It did. However, over time we have come to understand that the cultural
issues that his office must deal with are prohibiting him and others from
taking action.
Dr Albert’s office’s mission is to adjust cultural
practices and produce a Network Centric Capability. Responding to this mission is made possible
by changing the government procurement processes. However, the procurement process is
governed by the dependencies that have developed for revenue streams. So what most individuals would regard as a
proper intellectual response, with exciting and reasonable new innovations, is
not funded. One can understand that
this might be the way things work.
Tim Berners Lee talks about a two sided
“semantic web”, one side composed of humans and supporting human communication
and the other side composed of computers running computer programs (sets of
abstract instructions). The
informational localization and globalization construction we talk about
is merely an enabling construction. The notation is something that one can use
to standardize a next generation “referential base” as an eventual substitution
for the current generation of relational databases. This referential base technology has interesting properties in
that it is an encoding framework for the machine side of the semantic web.
Ballard and Klausner both have pursed similar
encoding mechanisms as part of engineering efforts. Both have a core data encoding process that depends on the
regularity of data being passed in a specific social or technology
context. On the surface, one can
compare the Knowledge Foundations (Ballard) data encoding to an adaptive
mechanism for automating the discovery of the invariances in data streams. These invariances are expressed in
correspondences with a 2x3x3 framework, in a fashion that is suggestive of the
Readware 2x2x8 framework for Arabic.
Ballard’s claim is that the 2x3x3 is universal to a minimal encoding
mechanism for any type of information.
Adi’s (Readware) claim is that the 2x2x8 framework may be universal to
any natural language. Sowa’s cognitive
graphs 2x2x3 framework can be discussed in this context. Prueitt has developed a generalized theory of
frameworks.
Klausner’s work has not found frameworks at the
core of data regularity in context.
However, the CoreTalk proposal creates a community bases for the
evolution of structural encoding standards that evolve out of use patterns and
conformity to a high level iconic language that captures a higher level of
abstraction, must like the concept primitives discussed
by Adi. The differences
between the data encoding in Adi, Prueitt, Ballard, and Klausner are certainly
important. However, the commonality is
the direct observation of patterns of regularity in a substructural
co-occurrence domain and the construction of a stratified ontology based on
these observable regularities.
The one side is the system of all machines. The other side is the human communities and
the natural world. The two sides have
to be able to measure each other and this can only happen if the machine side
has a greater degree of agility than what is possible with relational
databases. (This is our claim.)
The early forms of a universal encoding
construction have seen development and deployment in various forms. However the early forms have two very
critical limiting qualities. The first
has that the organization of data is been almost always restricted to
hierarchal graph theory. We see this in
most XML applications and in most machine ontology applications.
The second is that the technology itself has
almost no reasonable way to allow real time human interaction as part of
knowledge elicitation and information reification. The Topic Maps standard is the sole exception, and yet has found
only very little deployment opportunities because the qualities of a reified
ontology are not anticipated as yet by any markets. Up to now, no one will pay for the effort required to reify
machine ontology. This is an issue of
educational deficiency. As Ballard has
pointed out (personal communication) the Topic Map standard is missing a
universal data encoding mechanism. It
can be claimed that Ballard knows the optimal mechanism.
We can be very clear. Traditional information processing is closed by a very rigid
formalism, called a data model. The
data model therefore distorts all possible organizations of data. Thus what the model does not expect is not
seen. Information production of the
type we are demonstrating is quite different from what is called information
discovery from data that already exists in a data model. The work that supports this new technology
has deep roots in academic scholarship and has seen many un-successful attempts
to create a market.
We needed a breakthrough, and found it.
A construction is being made available in a
standard form so that the capabilities of a special type of localization of
information bits into
( process: object )
pairings can become ubiquitous. Note that process may be a class as defined
in object oriented programming.
We ask that you join us. A collective economic and political effort
is absolutely necessary.
We propose that an infrastructure for
differential and formative ontology be developed in the open and be made public
domain as part of a National Project to Establish the Knowledge Sciences. The proposed infrastructure uses the concept
of (class:object) localization of information, the organizational process
defined by a class of organizational convolutions, and a means to produce
ontology from a “direct” measurement of data.
Compared with the value of this infrastructure,
the cost of developing the Knowledge Sciences and producing the curriculum is
barely measurable.
The actual technology resides in very small core
engines, and has been built. This
foundational technology is to be made public domain. The technology is regarded as “horizontal” because the areas of
potential application cannot be limited.
The National Project can be established, either
through small individual donations and membership fees, or
via an Act of Congress. Once the
technology is demonstrated, the vertical technologies, technologies specific to
one market, can develop using a variation of the Open Source model for software
development. A technical feature allows
software developed from this construction to have an internal back office
micro-banking system developed by Dr. Brad Cox, one of the scientists in our
group.
The scientific work being described faces many
cultural and economic barriers. Our
challenge has been to produce an explanation as to what a memetic model is and
how science might consistently produce high fidelity models of memetic
expression.
The actual system exists and is being deployed
in an experimental fashion. We hope for
a dual use of this technology as a means to facilitate social discourse and as
a means to finance the evolution of the knowledge sciences.
The technology is not complicated, and will not
be expensive to use (once developed).
The principles under which we propose to develop and deploy are in a
statement about the Knowledge Sharing Foundation
concept.
The technical capability to observe the thematic structure of social
discourse has been developed using an construction based on
(class:object) localization and what is called convolution theory. The convolution is similar to the integral
in college calculus in that an operator passes over all elements of some
set. Unlike the calculus integral, the
informational convolution organizes the structure of relationships between the
elements of the set, and provides a just in time structure to that
information. How the data is localized
and encoded into computer memory is both simple and exceedingly easy to
access. So the organizational process
can take place within microseconds. The
ontology is formative in real time and is differential to the situational
information available only in real time.
The small start-up budget, and capitalization
value proposition, is covered in a brochure.