R & D Papers

[This "Protocal" is applicable to White Papers, Concept Papers, and Technical Papers; its  participatory availability and modifications from time-to-time will be announced in "News")]

Protocal
Ai3inc, in its Open Participation, CoCreative mode, will originate, conduct, and distribute results of its Research, Technology and Product Development (RT&PD) via its autonomously formed and self-directed CogWebs.

A CogWeb™ is, by definition, a Network of MINDClones with an adaptation of the CoGnome for Network Decision-Making by IntelliSite-definted groups, organizations, communities and societies.

Participation for TrueThinker.com subscribers is effected through a request to join a specific TrueThinker Community (AI3RT&PD) with an evolving KnowledgeBank formed from its Open Participants' RT&PD efforts. The collective discourse will be run using a process of Ai3inc's "seeding" the Community with ideas/themes (concepts), thereby creating spontaneous CogWebs™, smartswarms. Swarms are not to be thought of as systems (entities), but rather as virtually initiated relations (processes). Innate to the process of their creation will be the conditions for bringing about their self-dissolution (i.e. upon successfully answering a query or responding to a proposition or imperative).™

White Papers, Concept Papers and Technical Papers

White Papers, Concept Papers or Technical Papers, at conception, during development or after distribution, will be accessible at the TrueThinker Community (AI3RT&PD) and will broadly address specific details as briefly stated in the following:

AUTOGNOMICS™
and
INTELLIGENT SYSTEMS DEVELOPMENT
Jon Ray Hamann

Introduction
The last half of the 20th century saw the beginning of the evolution of learning machines from the growth of Boolean computers into Bayesian/Shannon inference machines as an attempt at engineering systems with a claim to exhibiting Augmented Intelligence or partial Artificial Intelligence (AI). In parallel development since the 1950's, computer-processing speed has increased by roughly a factor of 10 to the 8th power. This magnitude of difference is like the difference between a leisurely walk and moving at the speed of light. Yet, over that period the basic method for using computers has remained essentially the same--explicitly programmed instructions and domain-dependent data structures. Hence, AI itself has remained an elusive goal to achieve by means of a systems architecture relying on an implementation based on the systemic computer paradigm.

Yet the recurrent ebb and flow of the Human need for Truth, which is motivated by experience of unanswered questions in the wake of unsatisfying or non-existent answers, is again in that phase of exploding dissatisfaction. Consequently, the 21st century experience is overwhelmingly one of an ever-accelerating, dynamically changing world. It is becoming increasingly evident to a growing number of key decision makers that innovation development and management is only likely through advancing AI. The problem/dilemma for AI developers is that there is no standard theory of mind.

To further acerbate this circumstance, the networking of computers has in turn led to the Web with essentially an unlimited growth of data/information. The explication of the Web as a Virtual Reality (a computer-based CyberSpace) which is a Semiotic (a sign = image system as in natural language or mathematics)-Communication System (Semiotic Relational System), is also of the essence of Mind, recognizing, of course, the carrier function of the Brain.

Ai3inc has a development team with a long-term strategic approach to Synthetic Mind/Artificial Intelligence via a patented technology known as the AutoGnome™. The AutoGnome, as an Automated Inference/Inquiry/Intuition software exploiting Computerized Semiosis, also provides an optimal approach to a General Theory of an Autonomous Virtual Society (Virtuality)-this being an autonomous semiotic universe of Virtual Minds (WebGnomesTM); hence Virtuality is related to (Human) Reality through the Virtual Reality of the Web. It is the provision of the foregoing which implicates a standard theory of mind that is the focus of Ai3inc's current development Projects--"Semiotic Relational Systems: The AutoGnome as Synthetic Mind" and "AutoGnomics and Intelligent Systems Developmen".

Distinguishing Among the Approaches To AI and the Web
As with AI theories generally, there are also a plethora of technological approaches to AI and the Web ranging from IntelligizingTM (adding intelligence to) the Web through Learning/Thinking Webs to the Web as a Global (Super) Brain and Virtual Reality as Social Superorganism. Basically, however, research on AI and the Web is categorizable as to whether the focus is on the preeminence of brain vs mind or mind vs brain or, alternatively, on the co-evolution of mind & brain [Project AutoGnome / CoGnomeTM / CogWeb™]. Whichever the assumed priority, each approach must satisfactorily address the following.

Intelligence / Knowledge/ Wisdom as a Means of Discriminating Amongst These Approaches
In the context of a description of Synthetic Mind, the following component distinctions lead to an easy discrimination by contrasts amongst the approaches:

• Data: bits of information such as lists (e.g. phone lists) or records in a database or spreadsheet
• Information: data organized so that it can be communicated
• Intelligence: Perceptual processes focused on syntactic patterning
• Knowledg: Cognitive processes focused on semantic patterning
• Wisdom: Valuational Decision processes focused on pragmatic patterning, i.e. Action Selection

In terms of the foregoing then, the following definitions provide simplistic insight in distinguishing the approaches to AI and the Web.

• Web 1.0—Syntactic Web (Perceptual; Intelligence)
• Web 2.0—Syntactic-based Social Web
• Web 3.0—Semantic Web (Cognitive; Knowledge)
• Web 4.0—Semantic-based Social Web
• Web 5.0—Pragmatic Web (Valuational; Wisdom)
• Web 6.0—Pragmatic-based Social Web
• Web 7.0—AutoGnomic (Semiotic) Web; a Semiotic Web holistically incorporates the Syntactic, Semantic and Pragmatic functionalities as well as including its Social Web and anticipates a new computing paradigm realizing Boundary Logic in a Relational Computer. Hence the uniqueness and novelty of the AutoGnome. Q.E.D.

The current status in this development (Synthetic Mind: Intelligence —>Knowledge —>Wisdom) is hovering between Web 1.0 and Web 2.0 with forays into Web 3.0. Hence, Synthesizing Knowledge is the present goal with Wisdom (Knowledge processed through a Value filter) still a human interpretive extension. Nevertheless, the mission of AutoGnomics, in contrast to other approaches to bring AI into the Web, is to reform the Web as AI; hence, Web 7.0 is a present goal of a Pragmatic Action Methodological approach to both a Synthetic Mind and Virtuality, the AutoGnomic Intellisite™.

AN AUTOGNOMIC INTELLISITE

The Autognome
General Characterization
The AutoGnome (AG) by its Specification is a General Purpose System of Automated Inference/Inquiry software exploiting a system of Computerized Semiosis. It is different from other inference technology by the nature of its automation; that is, e. g., the creation of knowledge and the rules of use reflected within the knowledge are automatically created. Specifically, no programmer or knowledge engineer or any other human participates in that creation. Unlike most other forms in the mainstream of Artificial Intelligence developments, the AutoGnome is designed to approximate the known semiotic structure and processes of Human Mind with no necessary assumptions regarding brain anatomy, neural-biophysics or biochemistry, neurophysiology, psychology, linguistics, psycholinguistics, information/communication theory, etc., or any formal theories or models thereof.

The AutoGnome, to be a complete Semiotic Inference/Inquiry/Intuition Engine, must account for The Form of experience as including:

• Ordered (i.e. determined or certain) experience: a formal algebra/logic of semiosis
• Disordered (indeterminate or uncertain) experience: a theory of probable inference/inquiry
• Reordering Disordered experience: via a generalized probabilistic optimization principal

The AutoGnome Architecture
The AutoGnome Architecture may be envisioned as multiple modules (perceptual, conceptual, and valuational), each module coding a specific model of the formalisms of semiosis composed of the three modes of semiosis (monadic, dyadic and triadic) and three inferential processes (deduction, induction and abduction). These recursive inference processes operate on three information stores (an experience store, a knowledge store and a valuation store), gain experience through connective agents (sensors, mediators and effectors (actors)), and function (act) in both an inquiry cycle and a performance cycle.

The probabilistic inference processes integrated formally with the logic of semiosis are the processes of formal representation of the Disorder whereby an AutoGnome identifies and maintains its Identity (Order). The information stores at any particular time are stable states of such probablilistic processes generated by optimizing acts in response to environmental (other system) perturbations of the perceptual module. The form of these optimization procedures for Reordering Disorder are those implementing Optimum Systemic (subSystemic) Probable Inference (e.g. MaxEnt).

Note: Moreover, if the system's ability to perform the Intelligent Act does not depend on the "content" of the inferences (e.g., the three inferential processes do not pre-suppose what is being reasoned about), then such intelligence can be deemed "generalized". "General Intelligence" is one of the most important design objectives of the AutoGnome and distinguishes it further from other specifically engineered forms of AI.

The Intellisite (www.TrueThinker.com)
The first commercial rollout of the AutoGnomic Technology, the Intellisite (an Intelligent WebSite generically branded as TrueThinker), is a constructed software environment (a Website) with an embedded form of the AutoGnome known as a WebGnome. MyWebGnome™ then is an intelligent agent residing in this cyberspace environment which, with its continuous adaptive learning from mimicking the user's behavior, will grow into a likeminded replica (MINDCloneTM) of a user-self acting in the Virtual Reality of the Internet with capabilities initially including knowledge organization (learning), knowledge creation (thinking) and knowledge applications (acting). As a home page "portal to cyberspace", TrueThinker is a premier Knowledge Development Management System.

Intellisite Derivatives
The Intellisite obviously has a broad spectrum of applicability apart from its key marketable functionality as an individual's mirrored Intelligence/Knowledge, in particular as an Autonomous Scientific Intelligence (AScI), a Collective-AutoGnome (CoGnome™) and the CogWeb™ (cognitive network of Intellisites).

Conclusion
The AutoGnome is at the beginning of its technology cycle now focused on Knowledge Development and has a technical roadmap which will continuously and significantly increase, in contrast to competitors, its differentiation into the future. In particular, its Virtual Nature as an autonomous WebGnome (and CoGnome and CogWeb) in the IntelliSite application will make it stand out as unlike user-dependent web tools. The benefits of applications of the current version of the AutoGnomic Technology in contrast with other special purpose AI approaches derive from the general purpose Semiotic Nature of its core Automated (Autonomous) Inference/Inquiry Engine whereby this same core engine can be deployed in a broad spectrum of contexts (education, health, business, economic and community development, homeland security, etc.) with only the provision of the "connectors" of the engine to that context, but no re-development of the engine itself. It should be emphasized that the current status in the development of the AutoGnomic Technology is essentially state of the art amongst competing commercial technologies, albeit the claims include significant advancements yet to be commercially introduced.