With a Central Focus on Building a
GLOBAL CENTER for MIND RESEARCH
within a
MultiCoRelational-AutoGnomic-HumanDimensions-
Research
& Development Institute now
n being reformed based on both conceptual inspiration
from the following
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The Human Dimensions Institute (HDI)
Jeanne Pontius Rindge with her husband, Fred H. Rindge.
I was contracted by
them to serve as Executive Director
beginning in the late
70’s into the early 80’s
The Human Dimensions
Institute (HDI)
was a New Age educational organization formed in Buffalo, NY, that in the 1970s pioneered
research on the “whole” person— physical, emotional, mental, and
spiritual. The institute operated through scientific research, publications,
lectures, seminars, experience groups, and continuing education courses at
Rosary Hill, Buffalo, and surrounding colleges and institutions. Seminars were
held at Swen-i-o, the new HDI Retreat Center at Canandaigua, NY.
International authorities discussed such areas as parapsychology, consciousness
expansion, nutrition, unorthodox healing, Wholistic philosophy, and
spiritual experience. The institute published the Human Dimensions
Magazine, a quarterly publication of articles and professional papers
on new frontiers of human experience. I
co-edited with Jeanne the last issue – Volume 6, on the “The Holographic
Reality”.
The Ojai Foundation, beginning in 1975 as Human Dimensions
Institute/West, is a nonprofit organization exploring the interface between
science and spirituality situated in the Upper Ojai Valley. For over 40 years, our land and programs have
been a beacon for youth and adults seeking ways to deepen relationship with
self, each other, and the Earth. Council, the practice of listening and
speaking from the heart, is our foundational offering and core to all we do. On
December 5, 2017, the Thomas Fire raged through The Ojai Foundation land taking
over 24 structures, including our staff residence, two program kitchens and all
of our overnight hermitages. The land sanctuary is currently closed for an undetermined period to
attend to recovery and renewal
The Ojai Foundation
https://ojaifoundation.org/
and from the Technological Development and Applications
Deployment of its Conceptualizations based on partnerships with the following:
------------------------------------------------------------------------ThoughtSigns, Inc.
created and managed by Fred Reed and Jon Ray Hamann
SINCE ALL THAT IS KNOWN
BY HUMANS IS “KNOWN BY MIND”, ALL QUERIES WILL
ULTIMATELY REST ON THE FOUNDATION QUERY, THAT BEING TO KNOW MIND.
ULTIMATELY REST ON THE FOUNDATION QUERY, THAT BEING TO KNOW MIND.
One of the most
profound recognitions of Mind in 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! Hence the conception of MultiCoRelational
(MCR) Philosophy. “A New Transforming Symbol System?” by Jon Ray Hamann and Jeanne Pontius
Rindge (1978), HUMAN DIMENSIONS, Volume 6, Number 2, pg. 3
MIND is a MCR Semiotic (Sign) System recognized as an
entity (organism or machine) minimally exhibiting self-awareness and
intentional behavior. “Thinking
is a process of relating
relations.
TSI is the evolved
entity continuing a mission begun in the late 1950’s with a long-term periodically
adjusted goal to develop a Standard MCR Semiotic Theory of Mind and to create a
Synthetic Mind [later named the “AutoGnome” (AG) (meaning Self-Knowing)],
itself with an instantiation as a MCR Virtual Science Lab (ultimately staffed
by Virtual Scientists). TSI represents over 50 years and
over $25 million of investments raised and expended [yielding only about 2%
completion of the build-out of the proprietary USPO formatted 585 page AutoGnomics Design
Specification]. Via a 3-year development effort on aspects of the AG with a
Forbes I00’s company equity buy-in, by 2000 the AG had a recorded value of $50
million. TSI has an evolving Business Plan to implement with an appropriate
partner showing a projected NOI of $50 million in 30 months with a seed
investment of $2.5 million.
It is widely understood
that Artificial Intelligence (AI) is driving the foreseeable future of
technology development and has been suggested to be an imminent Trillion $$
market when focused on BioMedPharma including the Human MicroBiome. AI is
essentially a programmed brain model (stacked artificial neural nets) with
highly successful human guided data search applications – e.g., Ask Google. But
as an Autonomous Intelligence it fails in not having an innate logic of
inquiry– i.e., automatically forming in context the search questions, nor can
it express meaning or address its TRUTH with RELEVANCE and VALUE (ethical or
aesthetic) multiplier for Humanity as a Whole.
It is increasingly
apparent that we need a reformed Science reflecting the actual relational
semiotic behavior of a Mind including attention to context, content, and
intent/valueàpurpose/motivation.
Supporting evidence for this need is DARPA’s new focus on advancing AI towards
a NxT Generation Social Science emphasis, i.e. DARPA’S Lifelong Learning
Machine (L2M), a bio-based revision of AI; Physics also is looking for an
understanding of the role of the Observer in Science.
The solution is the Science of-and-as MCR AutoGnomics. It is important to emphasize the
distinction between AG and AI pragmatically with respect to its explicit human
and social value. The dominant realization of machine intelligence as AI treats
the Observer as external to the
relation between the Sign and the Object (or Experience) it signifies. In contrast, AG theory realizes that the
Observer-Sign-Object triad must be treated as a conceptual unit, much like the
Observer--as--participant in the quantum theory of physical systems.
Recognizing this triad as a tri-relational (i.e. a specific MCR) form where the sign signifies an experience to a
particular observer, we also have the following: A sign of truth to a given observer
signifies a realization of the
degree of consistency between an expectation and the actual in that observer’s experience.
The sign
of relevance of the experience to that observer is a measure of the degree to which it does or
can effect positive personal change. And finally, the sign of value (goodness
and beauty) of the experience to
that observer is a measure of
the positive value of that change personally, but also concomitantly to the
collective whole. The Relational AutoGnome is designed to maximize these latter
signs in operation thus bringing this form of AG enhancement of human
performance to an intentional all-win opportunity for society
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).
TSI/TES, using real-world data starting
from the AI software of Charles River Analytics Inc. (CRA) https://www.cra.com via a generalized application of the
collaborative “Partnering Agreement” between CRA & TES, i.e. CRATES, is
gradually building a MCR-AG Technology (ThoughtEnActment) beginning by using the CRA software Model
Analyst's Toolkit (MAT) to build, analyze,
validate and apply scientific theories and models with the incorporation of crowd-sourced information collected via the
program CRISIS, and all applied as evidence in Thinking, Evaluating, and
Decision Making for choice of Act via the program CREATE.
Recognizing that humanity’s future on earth is near or has
reached a tipping point where survival itself, leave alone thriving, will
depend on effective (True, Relevant & Valued by all humanity) “collective
knowledge” inclusive of specific attention to the “Mind of Nature”.
This is where the “Science of-and-as AutoGnomics” {Liber Science (AG-Sci)} is
unique, novel and critically essential. As opposed to AI’s treatment of
collective intelligence as a statistical representation of a random crowd of
individuals, in AG-Sci a group/collective of individuals has a Collective Intelligence [itself presencing as an Identifiable
Mind (i.e. a Collective Mind)].
Hence, TSI is focused on effecting
an AutoGnomics (AG) Collective
Intelligence platform for specific chosen projects in a GLOBAL INQUIRY AND
VIRTUAL INNOVATION [Ideation; Incubation; Implementation; Investment] NETWORK
(VIN) birthing or enabling a GLOBAL NETWORK OF THE INTELLIGENT COMMUNITIES OF
THE FUTURE— including INDIGENOUS, RURAL and METRO/URBAN CULTURES.
We are searching to identify a physical locus for a CENTER OF
MIND RESEARCH INSTITUTE as the hub of a group Minds acting in-and-as a Global
Virtual Innovation Network (VIN), a Collective Mind Creating Mind,
e.g. to address humanity’s most threatening problem, i.e. Planet Earth’s
Climate Change.
World Weather Center
Citizen Scientist Program and App
Citizen Scientist Program and App
Over the past 30
years, there has been an increasing and high degree of public interest
in weather. Research shows that weather has been and
continues to be among the top public topics of interest. Local TV stations’
annual audience research demonstrates this to be true, even in quieter weather
markets. Network and print research show a similar level of interest, which is
why weather—often focusing on extreme weather events and their impacts—is
typically included on national newscasts, placed high in the show, and is a
staple of local newscasts. It is reasonable to expect that the fascination with
weather is here to stay and may, in fact, increase as the impacts from climate
change enhance the risk of many types of extreme weather. It is global,
national, regional, and local in scope.
World Weather Center (“WWC”) Concept. WWC is a proposed destination
visitor attraction in Niagara Falls serving regional residents and tourists. WWC will offer
multi-sensory weather-related exhibits and experiences that will have broad
appeal to children, families, and adults due to the mass appeal, awareness, and
popularity of weather reporting, extreme weather events, and climate science. A
signature building and experience design and state-of-the art exhibits and
programs will provide visitors with both visceral experiences related to
extreme weather as well as in-depth opportunities to learn about weather, life
and public safety, and climate from their formation and causes, to the many
variations depending on location, season, topography, etc. Climate science and
more recently the impacts of human activities will be interpreted. Advances in
weather modeling and forecasting and strategies to live well with weather will
be the basis of many interactive experiences.
WWC intends to engage, educate, and excite
visitors of all ages about weather’s impact on everyday life as well as the
importance to the future of planet Earth. Through interactive, entertaining
exhibits, awe-inspiring programs, and unforgettable weather-related
experiences, WWC will remind visitors of the power, wonder, and science of
weather.
Both the average citizen and scientist from
around the world seek understanding and in some cases answers to why and how
this/a weather phenomenon happens. The WCC intends to offer our guests and APP
accounts (individual members) the opportunity to become more familiar, through
Collective Intelligence, with the variety of questions and concerns of all
facets of weather related issues.
The participant will enter
this citizen science multilevel APP program and be guided to establish
relationships around the world, while focusing on what is personally important
to them concerning the weather. Whether it is research or finding information
and a potential solution to an issue (i.e. health, pain, flooding, storms, and
economics) caused by certain weather related conditions, this
“MultiCoRelational” experience seeks knowledge, truth, and value to the participant.
All of this information is intended to be experienced through a
“MultiCoRelational” App accessed through the WWC website, www.worldweathercenter.org.
The WWC Technology Partner
THOUGHTSIGNS, INC. (TSI)
[Also dba THOUGHTSIGNS ENTERPRISE SYSTEMS (TES)]
TSI is the asset owner/holder
and managing developer of the AUTOGNOMICS™ (AG)-SMARTR TECHNOLOGY, (the
Technology) a class of Synthetic Intelligence (SI) technology derived from a
MultiCoRelational (MCR) Semiotic-based formally-grounded standard theory of
mind, The AutoGnome™ (a Virtual Mind
Clone in development) is a self(auto)-knowing (gnome) purposeful software
system capable of autonomous inquiry, inference and intuition in
decision-making.] “Project AutoGnome™” aspires to virtual minds
(AutoGnomes) in virtual communities, i.e. Collective AutoGnomes. The radical,
unique and novel feature of this Collective
Intelligence (CI) is that both the individual (personal) AutoGnome in the
collective as well as the CollectiveGnome itself are intelligent AutoGnomes
(Synthetic Minds).
The concept and potential realization of Collective
Intelligence (CI) [Collective Mind] attracts interest from many sources:
- politicians and community
activists looking to collaboratively solve challenging problems;
- scientists looking to accelerate the pace of discovery
and dissemination of knowledge;
- military commanders looking
to leverage distributed expertise in a more agile force;
- analysts looking to include
more diverse knowledge and perspectives in conclusions;
- business leaders looking to
lead more agile and competitive enterprises.
While the fundamental processes of science, knowledge
creation, dialogue, and argumentation have been investigated for 1000s of years,
only recently have relevant technologies been available for facilitating and
augmenting CI on a large scale.
Three technologies in
particular—social networking, the web, and machine learning-- are the
foundation for a number of ongoing research programs and products aimed at
various elements of achieving CI. The near-universal familiarity and ubiquity
of social networking technology provides the means for computer-mediated
communication grounding CI. The web provides the “common space” in which “Weather”
artifacts of CI can be created, stored and manipulated. And, contemporary
machine learning affords the opportunity to augment human intelligence in
substantial and valuable ways.
However, there is no known successful example of a
comprehensive technology supporting CI at scale. This fact is largely explained
by shortcomings in theoretical understanding of communal intelligence that make
difficult envisioning how such relevant technologies ought to be integrated
into a successful whole.
TSI’s key Partner, Charles
River Analytics (CRA), https://www.cra.com, a long-time developer
of Artificial Intelligent (AI) software systems, is a
leading research organization with decades of government-sponsored research in
these various elements of CI. In order for TSI to make best use of resources,
get a product to market as quickly as possible, and manage risk, the
development of new CI technology through a CRA-TES (CRATES) partnership is
obviously the preferred strategy. Beginning incrementally from the most mature
technologies at hand—primarily those at CRA resulting from years of government
research—these would be integrated as components of an architecture grounded in
AutoGnome™ theory resulting in a CI system of unique capabilities. With further
supporting technology development and operational experience, this system would be extended and refined indefinitely.
TSI’s global social
mission is to focus on the Democratization (Sovereign Persons, Individually and
Collectively, with Open Participation “Benefit Corporation” Governance) of
Access to Knowledge and Capital, both individually and collectively, through this
Collective Intelligence. The Technology is to be applied generally in Human
Intelligent Community Organization and Enterprise Development with an initial
concentration on Research, Education, Sustainable Futures and Community and
Economic Development through Entrepreneurial Innovation Technology Development
& Business Applications. As a consequence, AutoGnomics Collective
Intelligence solutions for specific chosen projects in a Global Virtual
Innovation Network (VIN) will gradually lead to the Birthing of a Global
Network of the MultiCoRelational, MultiLingual, and MultiCultural Intelligent
Communities, i.e. the communities of the Future— Including Indigenous, Rural
and Metro/Urban populations and cultures.
The following is the graded sequence of AG-SMARTR
Technology Development
Stages anticipated to be addressed in building a Weather Citizen Science app.
The fee is the “rental” fee for use of the staged software. The numbers in the
Fee space are currently arbitrary
multiples of a “unit price”, also arbitrarily
started at a 1$/month.
1st:
[Fee:free] Website for User registration into a Global Weather Community of
Interests (GWC of Interests) (an undifferentiated Knowledge-Bank (K-B)
e.g. as
Zotero—a free easy-to-use tool to assist in collecting, organizing,
citing and sharing weather information)
2nd: [Fee:
1] For access to a regularly updated AutoCategorization into subgroups of
the GWC of Interest according to similar interests (K-B differentiated by interest groups (GWC of Intent))
3rd:
[Fee:2] Users can access combined
causal discovery algorithms and interactive data analysis and modeling tools to
support causal theory and model building
and verification [the core of the Weather Citizen
Science Tool];
THE NEXT 3 STAGES (4TH
THROUGH THE 6TH) ARE TO INCORPORATE BROAD COMMUNITY (CROWD)
PARTICIPATION IN THE IMPLEMENTATION OF THE WEATHER
CITIZEN SCIENCE TOOL.
4th:
[Fee:3] Access to a web technology to support open-ended argument construction by large numbers of weather related
contributors
5th:
[Fee:4] Access to augmented state-of-the-art
crowdsourcing methods with machine learning to identify and best employ the diverse knowledge of
contributors in the weather related community;
6th:
[Fee:5] Access to optimization of crowdsourcing
infrastructure for
effectively decomposing and allocating effort supporting communal weather
related projects based on multiple criteria, including trading off between
learning opportunities and maximizing performance.
7th:
[Fee:6] Robust adaptive machine
learning for varied citizen science applications. [To provide an experiential basis for
the autonomous modifications
of the core of
the Weather Citizen Science Tool
