Monday, September 18, 2017



At the core of every cultural tradition is a story which attempts to integrate ideas about ultimate existence (ChaotiCosmology) with ideas about which experiences ultimately matter morally (i.e. advancing the Value of Human Goodness). When these stories appear intellectually implausible and/or morally irrelevant, within or between cultures, they render culture generally vulnerable to crisis. There is now a critical need on a global scale for constructing a new and unique Story, a global ‘mythology’, of Human Culture as Whole(Ness).  The central challenge of the twenty-first century will be to integrate a Relational Evolutionary (R-Evolutionary) ChaotiCosmology with an Ecocentric Morality recognizing the universal tension between Truth by Adapting Presumed Beliefs to Experience versus Truth by Adapting Experience to Presumed Beliefs. Such a story seems to be forming around the Epic of a CoCreative ChaotiCosmic R-Evolution emerging from the absolute need to Re-Relate the Analytical (Inquiry and Inference) and Intuitive modes of consciousness as MIND.

The drive to Inquire, being the natural state of the Individual Human Mind, will generally sustain the individual unless blocked by other’s acts. This is not to dismiss the constant presence of unforeseen acts of “nature” which can circumstantially render a person ineffective if not dead. But, in order to learn, one must continue as an individual to desire to learn. Yet, the history of the evolution of human forms of collective organization, from group to community to society and state, evidences a tendency of the collective form, at whatever level, to emerge as a system with real or virtual centralized control of its parts, i.e. the people as individuals. This is true throughout the range of forms of the controller from individual or small group “authorities” through specialist managers to the rule of the majority. The result is that the process of inquiry favors the collective need at the expense of the individual’s self-determination with a resulting diminution of self-motivation. Recognizing also, however, that organisms of most, if not all forms, have increased chances of survival through cooperation in collectives, Humanity with its current emphasis on centralized control form of collective organization faces an either-or dilemma in its choice between individual autonomy vs. collective effectiveness. The resolution of the dilemma requires that we understand that a collective system can also be formed as being a Cooperative System-As-Whole.

The last half of the 20th century evidenced a growing unrest with our present conceptualizations of experience, in particular, in socio-economic, cultural & political organization. This trend is now rapidly approaching a crisis point which will necessitate a major shift in world view. An emerging paradigm is one in which the universe in all of   its parts is viewed as a super hologram. The unifying feature is the concept of the Whole as a relational form which presences in each and every part— i.e. where thinking as a part and acting as the whole IS thinking as the whole and acting as a part.

It is the existence of the "The Whole as No-Thing", the essence of which is Interrelated Relation, which is the novel, unique foundation principle of MultiCoRelational  Systems, and is conjectured to be conditionally necessary and sufficient for Creating Life and  Mind as Whole.

One of the most profound scientific recognitions of modern times is that the Universe no longer can be categorized only through objects/things, but rather must be seen as fundamentally relational. If the manifest Universe is relational, then it behooves us to understand how relations relate! From “A New Transforming Symbol System?” by Jon Ray Hamann and Jeanne Pontius Rindge (1978), HUMAN DIMENSIONS, Volume 6, Number 2, pg. 3

 Not surprisingly, one of the most significant remaining unmined potentials is in the rich base of human, social, relational and intellectual capital to be found in small (including from one up to a small handful of entrepreneurial persons) to medium size enterprises. A strong and independent small enterprise system disperses economic power, localizes economic decision-making, and protects the potential for voluntary cooperative organization.

THE NEED in order to effectively engage this resource is for the creation of new processes and technologies for improving personal and organizational effectiveness in “Knowledge Development” implemented through an organizational and management architecture respecting autonomy throughout its hierarchical and heterarchical levels by effecting co-intelligence in a cognitive network for Collective Decision Making to support and extend Individual InnovationTHE SOLUTION is an Intelligized Wikinomics via a Cognitive Network of AutoGnomes, i.e. a CogWeb or WIKIGNOME.


 [This section is edited by condensation from Wikinomics: How Mass Collaboration Changes Everything, by Don Tapscott and Anthony D. Williams, Published by Portfolio, 2006]
Throughout history corporations have organized themselves according to strict hierarchical lines of authority. There was always someone or some company in control. While hierarchies are not vanishing, profound changes in the nature of technology, demographics, and the global economy are giving rise to powerful new models based on community, collaboration, and self-organization rather than on hierarchy and control.

Millions now use blogs, wikis, chat rooms, and personal broadcasting to add their voices to a vociferous stream of dialogue and debate called the “blogosphere.” Employees drive performance by collaborating with peers across organizational boundaries, creating what we call a “wiki workplace.” Customers become “prosumers” by cocreating goods and services rather than simply consuming the end product.

Smart companies are encouraging, rather than fighting, the heaving growth of massive online communities—many of which emerged from the fringes of the Web to attract tens of millions of participants overnight such as MySpace, InnoCentive, flickr, Second Life, YouTube, and the Human Genome Project. Indeed, as a growing number of firms see the benefits of mass collaboration, this new of way organizing will eventually displace the traditional corporate structures as the economy’s primary engine of equitably just wealth creation. Already this new economic model extends to virtually every part of the global economy.

The conclusion from all of this is striking and enormously positive. Billions of connected individuals can now actively participate in innovation, wealth creation, and social development in ways we once only dreamed of. And when these masses of people collaborate they collectively can advance the arts, culture, science, education, government, and the economy in surprising but ultimately democratically profitable ways. Companies that engage with these exploding Web-enabled communities are already discovering the true dividends of collective capability and genius.

To succeed, it will not be sufficient to simply intensify existing management strategies. Leaders must think differently about how to compete and be profitable, and embrace a new art and science of collaboration we call Wikinomics. This is more than open source, social networking, so called crowd sourcing, smart mobs, crowd wisdom, or other ideas that touch upon the subject. Rather, we are talking about deep changes in the structure and modus operandi of the “corporation” and our economy, based on new competitive principles such as openness, peering, sharing, and acting globally.


·         In the process of material/energetic evolution, the origin of sign (=image) is posited to be a necessary and (possibly) sufficient condition for the evolutionary origin of life.
·         The greatest innovation in the history of human life experience, i.e. language (a sign system), provided the foundation on which all future progress of human culture/society would be built.
·         The communication of experience, this being the crux of societal systems, rests in-and-on language or, more generally signs (for Systems or Relations) which are acknowledged to be the essence of mind (recognizing the “carrier” role of the brain).
·         The problem of understanding mind is assumed to be first [since understanding per se is a function of mind, it follows that the very process of understanding itself can be enhanced by first understanding mind, particularly in its synthetic extension, the AutoGnome] among three of the great cosmic mysteries—the being, nature and becoming of the Universe, the being, nature and becoming of Life and the being, nature and becoming of Mind.
·         Not only is what we can think constrained by the languages (signs) we use, language use itself requires a different logic for inquiry vs. inference vs. intuition. This consideration is inherent to the applied multicorelational premise regarding synthetic mind.
·         We are in the midst of sweeping global economic and social transformations  (the blogosphere and wiki workplace) where creativity has replaced physical labor and large-scale bureaucracy as the key source of community and economic growth. We face an information-based, chaotically changing environment in which success depends on the superiority of continually accelerated Wikinomic Innovation.
·         Synthetic (Virtual) Intelligence/Mind is also the essence of virtuality (an autonomous semiotic universe (the cyberverse) in which information (signification) is transferable (communicatable) only among virtual minds); thus Virtuality is Related to  (Human) Reality through the Virtual Reality of the Web.
·         It is rapidly becoming evident to key decision makers that this demand for accelerating wikinomic innovation is only possible through evolving Synthetic Intelligence (SI) which has the potential to impact every aspect of human life. The problem/dilemma for SI developers is that there is no standard, workable theory of mind.
·         It is the provision of this latter (the standard) that is the intent of our current development of the AutoGnome as Synthetic Intelligence/Mind and it is believed that we are in a five year window (2017-2022) as the critical time during which the three or so industry leaders will emerge as forging the standard for this Virtual Universe populated by Synthetic Intelligences/Synthetic Minds.

AutoGnomics (AG) is a MultiCoRelational Self-Reflective Semiotic Systems approach to the understanding of the “origin” and “nature” of Mind and the formulation of a General Theory of Mind and its Special All-Purpose Technological instantiations as Autonomous Hardware/Software Systems.  Application Products generically branded as AutoGnomes (e.g. the WebGnome as an AutoGnomically Intelligized website) are generally composed of two inter-defining parts, the AutoGnomic RelationSpace [AG R-Space] (the relational replacement of the “representational database”) and AutoGnomic RelationalGenesis [AG R-Genesis] (the relational replacement for “data-based computation"), or an AG R-Space&Genesis [ AG  R-S&G].



Semiotic Relational Systems
A Semiotic Relational System is a system of relations exhaustively admitting all forms of interrelatedness among systems and/or relations and with certain systems or relations (called signs) taking the place of (i.e. imaging (signifying)) other systems or relations to a specific mind.

The AutoGnome is a self-knowing general purpose software system of automated (autonomous) inquiry, inference and intuition exploiting a mechanized carrier system for relational semiosis as a virtual (synthetic) mind.

The Intellisite (an Intelligent WebSite) is a constructed software environment (a Website) with an embedded form of the AutoGnome known as a WebGnome, 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 (MindClone) of a user-self  acting  in the Virtual Reality of the Internet with the synthetic mind capabilities of the  AutoGnome.

The CoGnome is a selected WebGnome which, inter-connecting two or more Intellisites in a Network of Intellisites, provides a computerized collective intelligence, an automated co-intelligence, i.e. the Collective-AutoGnome (Auto(Co)Gnome) or simply the CoGnome.

The CogWeb is the Network of Intellisites implemening the CoGnome for Network Decision-Making by autonomously formed Intellisite-defined groups, organizations, communities and societies, i.e. a WIKIGNOME.

“More than at any time in history mankind faces a crossroads. One path leads to despair and utter hopelessness, the other to total extinction. Let us pray that we have the wisdom to choose correctly”. Woody Allen


Within R.Elated’s Foundations Purpose of introducing the historically missing Formalization of MultiCoRelational Forms (Multi=multiple; Co=interrelated) into the Sign/Communication (Semiotic) Systems of Humanity and Thoughtsigns’s related Mission of MINDing the World through Technology, the overarching long term Strategy of Re-Creating A Virtual Universe as a MultiCoRelational WHOLE begins with the creation of Synthetic Intelligences enroute to a Synthetic Mind based on a Formal Theory of MultiCoRelational Semiotic Systems. This encompasses a formal algebra/logic of semiosis (currently termed AutoGnomics) and a theory of probable decision making including a generalized probabilistic optimization principal (now called GnosTeks), all functioning on a triadic continuum computer data recording structure (R-Space). As a descriptor place-holder, this is tentatively referred to as an “AutoGnomic (Self-knowing)/GnosTek (Knowledge Technology) or AG/GnosTeks (AG/G).

Thinking is a process of relating relationsfor both C.S.Peirce and H.W.Maturana

The Plan is to develop the Mind Technologies and efforts needed to move from the current (2017) State of Humanity to the Singularity; that is, to the point of realization of the technological creation of a smarter-than-human intelligence. The methodology invoked by AG/G envisions an Open Participation Institute for Fundamental SynMind Research and Development with periodic Proprietary Commercial Rollouts of Limited SynIntelligence Applications which will evolve to the point of a self-improving Synthetic Intelligence that will successfully enhance itself to the level where it can decide what to do next. The means to this end will require the Collaborative Networking of any and all voices willing to participate in developing the philosophical and formal principles, theoretical paradigms, technology architecture, and applications components needed to build a complete Mind possessed of general intelligence, capable of self-understanding, self- modification, and recursive self-enhancement.


The paradigm of the classical subject-object dichotomy, where static objects (reducible to atoms) are connected by relations, is increasingly being challenged today in philosophy, physics, and biology by a new paradigm. It describes the world as a flux of pure relations, where objects emerge only as dynamic stabilities. The input-output model as information theory’s version of the object paradigm up to now was the very foundation of computer science and its separation of data and code. In view of the new paradigm technical developments, computer science now also becomes affected by ‘radical relationism’, which does not record or process any data in the traditional (static) sense, but only generates data dynamically from a pure relation space, like computer generated images of a video game. [edited from Peter Krieg]

Sunday, May 21, 2017


 for a
In the preceding post introducing the Virtual Scientist, ThoughtSigns' (TSI)/StartSmartR Capital Corporation's (SCC’s) AutoGnomic (AG) “Collective Intelligent-Virtual Innovation Network” was offered as a formal response to both the DARPA “Next Generation Social Science Project” and to the “Earth Day 2017 March for Science” problem on how to effect the continuous evolution of a reformed science after the March.

DARPA’S NEXT GENERATION SOCIAL SCIENCE PROGRAM aims to harness emerging technologies to tackle previously intractable social science challenges such as identifying the primary drivers of social cooperation, instability and resilience.

The MARCH FOR SCIENCE champions robustly funded and publicly communicated science as a pillar of human freedom and prosperity that upholds the common good and provides political leaders and policy makers evidence-based policies in the public interest.

SCC’s Partnering Agreement with Charles River Analytics (CRA) provides the basis for building an AutoGnomic-targeted social-networking platform for social science which could be developed by beginning with certain of CRA’s existent relevant software with the goal of adapting it and marketing it as an independent product. Toward that end, the following might exemplify the initiating approach:

CRA’s Cognitive Systems Engineering (CSE) approach to designing human and technical systems based on analysis of the user and their working environment could include; 

· Designing an Adaptive Design Application to guide the experimental design process based on research goals, constraints, and suitable methods;

· Figaro™, designed to enable development of probabilistic reasoning systems, is a fully expressive, open-source probabilistic programming language developed as part of DARPA’s PPAML program which includes learning and inference algorithms and is an ideal framework for Experimental Meta-Modeling;

· The Rapid Expertise Aggregation Supporting Optimal Negotiation (REASON) platform was developed to enable collaborative decision-making online;

· The Credibility Assessment and Intent Research Network (CAIRN), provided a platform for facilitating sharing among expert researchers and practitioners investigating the assessment of credibility and intent in linguistic data; and

The Organizational and Cultural Criteria for Subject Modeling (OCCSM) is a tool to support an Agents analysis and reasoning about a Subjects behavior. OCCSM allows an Agent to create a computational model of competing as well as of friendly or neutral Subject populations, which can then be linked to a variety of data sources that guides the Agent through a formalized approach to assessing, analyzing, and forecasting human behavior, specifically competitor acts




·         Automated Autonomous Inquiry/Inference Technologies (AIT’s) are the essence-to-be of the Virtual World generally, and specifically of E-Business in the Global Network Economy. The competitive edge will favor those with the highest relative measure of effectiveness of their respective AIT’s, both intensively (depth of applicability) and extensively (breadth of varying technologies encompassed). This will be true of business-in-general and, hence, of specific technology industries/commerce in particular. The dilemma facing the users of AIT’s is the wide range of seemingly distinct forms or, more to the point, the differing theoretical origins implicit therein.  Common to each of these, however is an effort intended to emulate, at least in part, some process(es) of human intelligence.  Hence, the dominance of the brain-inspired Artificial Intelligence (AI) applications proliferation.
·         Modern computing capacity (including both memory and speed) has enabled AI to grow in depth and breadth of performance in narrow applications such as machine vision, speech recognition, bioinformatics and health care decisions, all of which are impressive and of substantial human and commercial value. On the other hand, the distance between contemporary AI systems and many other presumed characteristics of mind and intelligence, such as performing logical reasoning, carrying on a conversation with another intelligent being, or explaining itself, is as great as ever in the history of AI. "Real" intelligence--if humans are to be a guide--includes a broad range of capabilities such as creativity, resourcefulness, social cooperation, and so on, that are far from the reach of the high-profile, commercially compelling approaches of AI.
·         As an alternative view of AIT development, SCC’s AutoGnome (AG) Technology treats the process of theory (and model) generation to be an exemplary pinnacle in the evolution of human intelligence.  Hence, a theory of the process of theory generation would itself be a comprehensive theory of intelligence/mind modeling the fundamental capability that enables humans to learn, adapt, and cooperate as they do--by creating, using, and refining a system of signs by and for itself. This ability makes the AutoGnome a superior approach to intelligent machines that will work closely with humans as CyberGnomes, first learning from them, then emulating them, and finally partnering with them as autonomous minds in advancing knowledge.
·         One such application is in collaborative man-machine communities of inquiry & inference (COI), such as in scientific research and community decision making. The type of intelligence required to participate in such a community includes full participation in the constant use and refinement of the natural and formal (e.g. mathematical) languages (systems of signs) used to reflect the growing collective knowledge and experience of the community. It also requires the ability to learn and understand the differences between individuals and how to interact with them as individuals. Hence the AutoGnome as an autonomous Synthetic Mind (Clone), both in the form of an individual or collective SynMind, has powerful instantiations as Virtual Scientists.
·         The problem visited upon AIT development of alternatives to AI is that for decades the funding sources have all but exclusively been committed to AI. Clearly the investment returns have been and remain rewarding. Amongst the various funding opportunity waves that we have experienced in our near-term past, most being relatively ordinary, although occasionally attractive, none have implicated the potential of the present synchronous circumstance of the DARPA Next Generation Social Science Project, which Charles River Analytics (CRA) is aggressively addressing, and the March for Science on Earth Day 2017, which has the unanswered problem of after the March of how to effect the continuous evolution of a reformed science.

·         Obviously, TSI-SCC’s AG [CRA-TSI] Collective Intelligent—Virtual Innovation Network is THE SOLUTION which has been long awaiting THE PROBLEM to be expressed in an accepting environment such as this synchronous circumstance. This is a rare opportunity for TSI/SCC both technologically (Science) and promotionally (Earth Day). This is our EPIC OPPORTUNITY WAVE to mount and ride. With our collective body, mind and spirit of science, focused on solving this problem, we can convince Humanity that the AG approach to creating a Synthetic Intelligence (AutoGnome=Mind Clone) has a key instantiation as a Virtual Scientist (autonomous inquiry and inference-deductive, inductive, and abductive) thus enabling the democratization of access for everyone to participate in Knowledge Creation, Discovery, Organization, Implementation and Sharing.

Saturday, May 20, 2017


AutoGnomic (AG) vs. Artificial Intelligence (AI)

         A rough line drawn through the history of AI starts with early attempts to mimic the exquisite complexity of logical reasoning in the early years, and passes through the most recent trends in industrial scale engineering applications afforded by modern processing power and access to digital data. Two of the biggest centers of attention in AI at the moment are Google and IBM. Google's recently announced public release of it's TensorFLow machine learning platform underlying the GoogleBrain project, and newsworthy successes such as learning about cats from unlabeled YouTube videos, demonstrate the power of large-scale computing applied to so-called "deep learning". Deep learning typically refers to artificial neural network (ANN) architectures that are stacked in increasing numbers of layers, where such deeper layers model more abstract features of the problem space than shallower ANNs which more directly relate their inputs and outputs.  Modern computing capacity has enabled ANNs to grow in depth as the inherent inefficiencies in the brute-force training of ANNs layers are overcome. Deep learning performance in narrow applications such as machine vision, speech recognition, and bioinformatics has been impressive and of substantial commercial value. 

On the other hand, the distance between contemporary deep learning systems and other presumed characteristics of mind and intelligence, such as performing logical reasoning, carrying on a conversation with another intelligent being, or explaining itself, is as great as ever in the history of AI. For AI that aspires to collaborate with and enhance human intelligence as a partner, deep learning offers little hope at present. On the other hand, IBM's Watson technology, made famous in its success in TV's Jeopardy! competition is specifically designed to work in the space of human intelligence. Branching out from competing with humans in game shows, Watson now provides advice to on-line shoppers and treatment recommendations to cancer doctors. Watson is specifically designed to respond to questions put to it by humans, in human language, with answers drawn from sources created by and for humans such as wikipedia and dictionaries. Rather than through any "deep" learning or reasoning, Watson's power comes from it's ability to index and search vast amounts of information based on statistical similarities grounded in keywords and phrases extracted from the question. While providing a valuable and impressive capability for the narrow activity it was designed for--answering questions--it is generally accepted that Watson offers little insight or capability in the wider range of intelligent activity. Like deep learning, it is a showcase for the practical potential of focusing vast computing power and data on a narrow problem.

"Real" intelligence--if humans are to be an initial guide--includes a broad range of capabilities such as creativity, resourcefulness, social cooperation, and so on, that are far from the reach of the high-profile, commercially compelling approaches coming from Google, IBM, and many others trying to emulate their technical success and revenues. But that does not mean there are not other opportunities as impressive and potentially profitable. One such application is in collaborative man-machine communities of inquiry, such as scientific and special interest communities. The type of intelligence required to participate in such a community includes full participation in the constant use and refinement of language to reflect the growing collective knowledge and experience of the community. It also requires the ability to learn and understand the differences between individuals and how to interact with them as individuals.

 Deep learning is too far removed from humanity, and Watson is too crude in it's brute statistics, to meet these needs. The AutoGnome, on the other hand, has charted it's own path through the history of AI. Although conceived near the beginning of modern AI history (circa 1960), its developers soon realized the limitations of the hand-crafted reasoning systems in those early years and instead adopted a large-scale learning approach that would only sound familiar nearly a half-century later in the "big data" and machine learning approaches of today. On the other hand, the AutoGnome contrasts with both deep learning and Watson-like approaches in modeling the underlying capability that enabled humans to evolve to reason, learn, and cooperate as they do—the capability to create, use, and refine a system of signs by and for itself. This capability makes the AutoGnome a superior approach to intelligent machines that will work closely with humans, first learning from them, then emulating them, and finally partnering with them in advancing knowledge. What the AutoGnome does share with GoogleBrain and Watson are the tremendous potential benefits of rapidly increasing computing power and information access. The window of opportunity is as open as it ever has been for commercialization of the AutoGnome, combining the demonstrated power of modern technology underlying the success of deep learning, addressing human needs in the complex modern world being partly but profitably met by Watson, but in applications not remotely addressed by either.
Over the past five decades, dating to the late 1950’s, an emerging trio of geographically and functionally independent researchers from the Linguistic Research Center, University of Texas at Austin (Pendergraft & Hirst) and from Johns Hopkins University and the Research Institute for Advanced Studies, Baltimore, MD (Hamann) coalesced as a distributed AG-founders team from 1979 to 1989 to focus on the completion of the formulation of the Specification for the AutoGnome (AutoGnomic Design Specification ) which led to the inception and formation of the AutoGnomics Group of Companies (AGC). The AGC, loosely formed beginning around 1990 by the Hirsts, Hamann, Pendergraft, and Reed, to develop and technologically implement a Standard Theory of Mind (the AutoGnome). The founding corporate parents of the AGC are The AutoGnomics Institiute, Inc.(TAI) and AutoGnomics Corporation (AC). AC has been inactive since 2010; hence, ThoughtSigns, Inc., (TSI) was subsequently formed as the prime managing director of AutoGnomics Theory and Technology Development, including aggregation and reformation of the now varied and global AutoGnomic and related development efforts into a concerted “Project AutoGnomics--Center of MIND” and AG Tech Apps., all Formulated on the Foundations of AutoGnomic MultiCoRelational Systems (MCRS)]. Key current AGC Partnering Companies include: First Peoples Capital Corporation (FPCC) and TrueFarmer, Inc. (TFI), focused on Indigenous and Rural Cultures, respectively, and StartSmartR Capital Corporation focused on the Global Metro cultures.

Since the initial founding of the AGC in 1994, through 2010, AG technology has realized investments (partly directly and partly indirectly through key affiliates) of approximately $15 million applied to its development efforts. This has led to 5 issued patents on semiotic-based AutoGnomic Processing Systems via a joint venture (UniGnomics) with Unisys Corporation (1997-2000). Also, through the continued support by Unisys from 2000 to 2008, a group led by one of the AutoGnomics/Unisys team secured over 40 additional issued patents on the AutoGnomic Data Storage System. All of this latter Data Storage System Intellectual Property was licensed back by Unisys to the AGC on August 28, 2010 and was subsequently traded to retire about $5 million of third party stockholdings. Approximately $10 million of the $15 million was derived from the UniGnomics effort with Unisys Corporation. From 2002 through 2010, the remaining $5 million of the $15 million was raised via four sequential private placements with the proceeds focused on the development and commercialization of a MyWebGnome product branded as “TrueThinker”.

Coincident with the wrapping up of UniGnomics at the end of 1999, Unisys exercised a warrant to purchase common stock in AutoGnomics; this transaction set an implied AG value at $41 million. Although the various AG software IP and related patents, copyrights and knowhow are a significant contribution to AG value, they are incidental in comparison to the 585 page proprietary Autognomic Design Specification. This latter has involved an uncountable number of hours of R&D effort under the AG-founders team from 1959 through 1989 with the concentrated work being from 1979 to 1999. This project has produced what arguably remains as the only publicly known globally existent experiential foundation for a standard theory of mind with a detailed conceptual specification for building a synthetic mind. Assuming a baseline value around $50 million in 1999 and conservatively assessing the value-added during the intervening decade and a half since, it is not unreasonable to set an estimated value in the order of $500 million to $1 billion based on present values of ongoing commercial development pro formas. 

Friday, May 19, 2017


PROJECT AUTOGNOME is long-term project directed at developing a standard theory of MIND and implementing it in stages as evolving Synthetic Intelligence enroute to a SyntheticMind.

The AutoGnome at the cognitive level of software engineering is essentially a Knowledge Developer.

Knowledge is that attribute of Mind focused (albeit not exclusively) on Mind’s cognitive/semantic (meaning) functionality. Knowledge grows from Intelligence (the syntactic form) which is born of Data/Information and matures as Wisdom (Knowledge focused through Value in the choice of Acts).

In the context of a description of Mind, the following distinctions regarding Knowledge can be made:
·         Data: bits of arithmetical/linguistic records 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
·         Knowledge: Cognitive processes focused on semantic patterning
·         Wisdom: Valuational Decision processes focused on pragmatic patterning
      i.e. Action Selection

The Future of the Web
In terms of the foregoing, the following definitions might be projected to emerge in characterizing 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; includes its Social Web and anticipates a new computing   paradigm realizing Boundary Logic.

The current status in this development (Synthetic Mind: IntelligenceàKnowledgeàWisdom) is hovering between Web 1.0 and Web 2.0 with forays into Web 3.0 and 4.0.  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 approaches to bring AI into the Web, is to reform the Web as an AutoGnome; hence, Web 7.0 is a present goal of a Pragmatic Action Methodological approach to both a Synthetic Mind and Virtuality, the AutoGnomic Intellisite.


The function of a digital computer search engine is to locate and retrieve stored DATA (see above definition). Obviously, a developing AutoGnome can enhance the process of such search, e.g. by automating the creation of ontologies in current semantic-based search.

Monday, October 17, 2016



 [To Mind (or Minding) is an act intended by the acting mind
 to increase the Intelligence/ Knowledge/ Wisdom in the acts of a subject mind--individual or collective]

Humans Minds are, with varying degrees of intent, generally searching for more effective and satisfying ways to inter-relate – interpersonally; within families, communities, and organizations; in understanding different cultures and socio-economic and environmental relations; and in creative cooperation with nature. But without an understanding of the notion of relation and its experiential realizations, each human-being drives their own little bumper car in the carnival of life merely waiting for the next collision and reaction. Never seeing the collective movement. Never understanding the inter-related Whole.

Imagine, if just for a moment, that all of human kind could move toward a more fluid, peaceful, and symbiotic Whole with their fellow human beings and the world at large, if only we were to tweak one tiny simple presumption in the traditional collective thinking of our global culture. That is “One of the most profound scientific recognitions of modern times is that the Universe no longer can be represented only through material objects, but rather must be seen as fundamentally relational. If the manifest Universe is relational, then it behooves us to understand how relations relate!” [Edited from Hamann, J. R. and Rindge, J. P. (1978) "A New Transforming Symbol System", Human Dimensions, 6, Nos. 1 and 2]. In this context MultiCoRelationalism was born and is being applied in developing a formal foundation for the collective understanding of the Nature of MIND.

It is often said that “two minds are better than one”! Yet we all recognize that the individual mind is the prime source of human creativity. These seemingly conflicting impressions are reconcilable from Humanity’s perspective when a created “truth” is also “collectively relevant” and of “general value to humanity”. However, the creativity of humans has generated profound societal change, including rapidly exploding information availability (the Internet), leaving humanity with an information overload for which the human mind requires a technological assist to effectively act on the continually changing information. The traditional scientific approach to a solution has been in the development and application of Artificial Intelligence (AI) software. Despite the positive and sometimes seemingly miraculous results of the AI solutions (like self-driving cars), the general experience of managing the convergence of big data, cloud computing, and ubiquitous networked sensors/devices in AI supported decision making, has led to a continuing disappointment with the lack of explainability of many of these AI engineered solutions. As a consequence, there is an alternative rapidly growing neo-scientific and collective-enterprise value being placed on autonomous and adaptive self-generating synthetic intelligence theories and technologies more closely replicating the processes of Mind than the engineered AI models of brain function. ThoughtSigns’ strategy is to ride this growing wave of emerging theory, enabling technologies, and market interest, all of which, due to their lack of a generalized artificial intelligence, implicate the necessary need and value of ThoughtSigns’ Synthetic Intelligence (SI)/Synthetic Mind (AutoGnome (AG)) development, all the while sustaining a technological applications business advantage by partnering with AI developers in the implementation of their existing AI software as initial commercial solutions which can then be morphed into AG solutions. A first generative instantiation of this Synthetic Intelligence is a Scientific Intelligence. The automation of the logics of inquiry and inference will enable machines to learn from data, and ask relevant questions to obtain new data. This promises a reformed Scientific Method inclusive of the Collective Intelligence Quotients for each of the T/R/V - Truth with Relevance and Value for Humanity as Whole.

Concomitant with the emergence of the prolific AI/SI developments, of equal importance has been the momentous introduction of the concept of a network as the operating infrastructure of our global socioeconomic reality. The Internet has led to a new socioeconomic structure, a MultiCoRelational System composed of multiple and fluid connections, operating within hierarchical and heterarchical levels, to access and process a wide range of capital resources. Networks have the capacity to process not only goods and services, but also information in a manner that promotes wide-ranging collective involvement in strategic planning and decision-making rather than special groups with unilateral information transference. Formally, it is known that the value of a network grows as the square of the number of nodes/participants in the network.

Hence, the SI/AG StartSmartR Collective Intelligence Technology, being a breakthrough in information/knowledge/wisdom technology, will solve a broad range of economically and socially important problems not effectively addressed by modern digital computing systems using AI software alone.  Commercialization of this proprietary technology will create a new industry defining the standard for virtual mind-enhancement of collective human decision-making in which ThoughtSigns, Inc. intends to become the scientific, technological and business leader. The radical, unique and novel feature of this collective intelligence is that both the Individual AutoGnome (MyWebGnome) in the collective as well as the Collective AutoGnome (CoGnome) itself are intelligent AutoGnomes. TSI through its StartSmartR Virtual Innovation Network goes beyond current virtual social networking (e.g., Facebook) and collaboration platforms (e.g., Quora) to a virtual collective-intelligence community, where users create, act, and learn within a technology-enhanced community of inquiry and inference. These community members can act on more complete, up-to-date, and relevant information while continuously refining and adding to the collective capability to achieve communal goals. StartSmartR Technology’s unique formal structure relating communal knowledge and experience will also enable autonomous synthetic intelligence to expand and augment human capacity for increased success in innovation across a wide range of applications.

TSI’s General Enterprise Model is more than an application provider - TSI will be a general capital partner (including financial, intellectual, human, relational, etc.) in contributing to the success of the Virtual Innovation Network (VIN) of Collective Enterprises which it facilitates, and will share in those successes through value appreciation, revenue sharing, long-term contracts, and through the usual crowdfunding and Technology and Organizational Development Services fee structures. As this VIN grows globally, the gradual effect of the collective intelligence on the individual mind can contribute to individual satisfaction and thereby to collective truth with individual relevance and increased value to Humanity as Whole.