PROPOSED: To
build the APP within 24 months from the start date of a committed funding of
$1,000,000.
SCHEDULE: Projected cost and time for four sequential periods defined by the
engineering tasks: (K=$1000)
1st -
collect data and information, design and plan; ~ 84k; 2 mos; 2nd – Draft Specification in
collaboration with the mind of Nature; 168K; 4 mos; 3rd – Build app; 588K; 14 mos; 4th – implement, test, modify as needed and release; 168k;
4 mos;
TECHNOLOGY BACKGROUND:
ThoughtSigns, Inc. is the developer of the AutoGnome (AG) class of intelligent technology derived from a formal theory of mind distinct from those underlying the vast majority of previous and current Artificial Intelligence (AI) and Machine Learning (ML) approaches. This self (auto) knowing (gnomic) mind is designed to autonomously create and apply its own interpretation of the world to satisfy its specific intentions This novel feature means the AutoGnome model is equally applicable to both personal and collective intelligence at different levels and forms—from bacteria to humans, from swarms to nations. [See the attached “THE AUTOGNOMICS (AG) PROJECT”]
TSI's mission is to facilitate human prosperity through AutoGnomic amplified intelligence/knowledge conditioned by its Truth with Relevance and Value (Goodness) being positive for all Humanity. In order to manage this mission, TSI’s efforts are divided into three tracks: Conceptual, Research and Development (R&D), and Commercial. The three tracks come together in an ongoing formulation as a unique and novel MultiCoRelational AutoGnomic Science [Inquiry, Inference, Intuition, and Enactment]. The derived technology, products and services generated are in the aggregate referred to as SmartR Technology, which being ideal for Knowledge Development, will be deployed via a Knowledge Access Framework branded as ThoughtEnActment (TEA) initially focused on developing a GENERALIZED RELATIONAL formulation of a CITIZEN SCIENCE APP.
Respecting the disruptive influence this new extended formulation of the methodology of Science has on the current standard Scientific Establishment’s Physical Science Paradigm as the only authorized Scientific Method to discover truth, TSI is partnering with Intelligent Software (AI) developers to build from existing AI-apps by formal extension into AG interpreted-Apps. TSI’s prime partner in this effort is Charles River Analytics (CRA).
CITIZEN SCIENCE APP (Cit-Sci_APP) Citizen Science, in the broadest sense of the term, (rather than more constrained roles such as only data collection) is democratization of all aspects of inquiry. Engaging non-specialists in inquiry not only applies the diversity, knowledge and sheer quantity of effort available in the broader community, but also creates deeper understanding in citizens as stakeholders. For example, better understanding of environmental phenomena could lead to earlier and more effective collective decisions and political will to protect the environment. Similarly Videira documents the use of collective causal modeling to understand degrowth in a community as a path toward environmentally and socially sustainable futures (Videira et al. 2014). However, collective inquiry need not be applied to “serious” matters only, as it also already has its place in more recreational collective activities and hobbies. Duncan reports on fan theories for TV shows and movies where “The use of evidence, argumentation moves, and theory construction is highlighted, along with conclusions drawn about the use of online tools and collaboration in the development of chronology theories” (Duncan 2008).
Creation
of causal models is a common means for development and representation of
understanding in a domain of inquiry. There are many types of models
appropriate to particular phenomena—mechanical, social, stable, dynamic, and so
on. And, there are a number of technologies for aiding the creation of such models—from
human-centered tools (e.g., diagramming tools) to automated algorithms for
causal inference
(e.g., Spirtes et al. 2010). However, no tools apparently exist that
facilitate collaborative, collective, and incremental development of causal
models by communities of non-specialists.
Charles
River Analytics’s (CRA) Model Analyst's Toolkit (MAT) was designed to be
learned and used easily by non-specialists in creating, analyzing, and
validating scientific theories and models using real-world data. It provides a
highly integrated suite of modeling tools, from model graphing to data ingest
and mining, as well as automated causal inference and machine learning
algorithms. It is, however, a stand-alone single-user application and not
designed to support large-scale distributed and collaborative model
development. On the other hand, it may be possible, using the internet, to
augment MAT with communal inquiry support.
Such
support may be related to the acquisition of data on which models are developed
and assessed, as well as the generation and refinement of the models
themselves. Conceptually, both kinds of support can be addressed through shared
repositories of data and/or models that distributed single users of MAT
collectively draw on and contribute to. Implementation of such an architecture
could involve some or all of the following features:
•
Additions
to MAT to facilitate the communication of data and/or models to the shared
repository;
•
A
community-maintained “ontology” for managing the semantic integration of data
and models (e.g., standard names for referred to objects, concepts, and events)
•
Version
management of the shared repository to enable MAT users to ascertain the
“lineage” and evolution of data and models (e.g., which models were proposed as
refinements of other models). This challenge is not unlike that faced by
distributed software developers managing a collective code base over time, and
it is possible that a relatively thin product-specific user interface on top of
a state-of-the-art source code version control system such as Git could
initially provide this feature.
•
Augmentation
of MAT to provide the ability to represent and communicate arguments underlying
proposed changes to collective models. This could be, initially, free text
comments making the desired argument on MAT models and version changes, but
eventually could incorporate one or more of a number of structured argument
representations (e.g., argument maps).
--------------------------------------------------------------------------------------------------------------------------
EXAMPLES 0F IMPLEMENTATIONS OF THE CITIZEN SCIENCE
APP DEVELOPMENT
PROPROSAL to BUILD SPECIFIC APPLICATIONS (S-APPs)—
[Global
Citizens; Smart Metro; Food and Environment; and Relational Capital] of the CITIZEN SCIENCE APP as FOLLOWS: For each (on average)--
To
build the app within 6 months from the date of funding of $250,000.
SCHEDULE: Projected
cost and time for four sequential periods defined by the engineering tasks: 1st - collect data and information, design and plan; 25k; ½ mo; 2nd
– Draft Specification; 50k;1mo;
3rd – Build app; 100K; 3
mo; 4th – implement,
test, modify as needed and release;75k; 1and1/2 mo.
GLOBAL CITIZENS:
APPLIED
TO SMART COMMUNITY/VILLAGE/CITY
DEVELOPMENT
AND IN PARTICULAR
INCLUDING A RE-DEFINITION OF TOURISTS
AND NOMADS AS “GLOBAL CITIZENS”
Humanity
is increasingly attentive to the widely understood dominance of Artificial
Intelligence (AI) in driving the foreseeable future of global technology
development. For example, AI in BioMedPharma Apps is a top Investor target, a
Multi-Billion $ Industry, and by adding the Human MicroBiome to these Apps it
has been suggested to be a Trillion $ market.
The World Urban Population in 1980 had 1.731 billion people worldwide, i.e. 39%, living in cities. By 2015 this had increased to 3.968 billion (54%) and is projected to grow to 6.419 billion (66%) by 2050, (World Urbanization Trends - 2014). In response, Urban Planning has rapidly adopted AI in a growing effort to build “Smart Cities”.
[Smart City Defined: A smart city, although still nascent and heterogenous in definition, is broadly recognized as a concept in which information and communication technology integrate with an “Internet of Things” (IoT) to connect machine components across a community or urban landscape. “The Internet of Things (IoT) is a system of physical things embedded with sensors, software, electronics and connectivity to allow it to perform better by exchanging information with other connected devices, the operator or the manufacturer.”
Smart City Growth: At present there are recognized over 100 smart cities globally with a projection of about 600 in the next 20 years.
The Opportunity: Strategic Opportunity Analysis of the Global Smart City Market is estimated to be worth $1.565 Trillion by 2020.]
“As we continue to layer new technology on top of and
within our cities and infrastructure, we are forced to confront the complex
interplay between our technology systems and our service delivery systems that
make our communities attractive and welcoming to the people who live there. We
talk broadly about the health care system or the education system, and we
acknowledge the regional nature of transportation systems, energy and water
systems, and even food systems. As sensors, data, connectivity, networks, and
analytics offer opportunities to improve each of these systems independently,
the common elements of the technology infrastructure offer more opportunities
for interoperability across systems and to reframe how we optimize and make
decisions about these systems. Better transportation can help provide access to
food and healthcare, for example, or smart lighting can address energy
consumption and public safety. Yet the
more we focus on the system, how do we maintain an appreciation of the people
within the system as complex, unique individuals with disparate values rather
than simply as nodes in a network? How do we balance the opportunity for shared
efficiency with the heightened risks of linking things together? The
technical and social challenges we encounter in this work are the foundation
for the 4th International IEEE Smart Cities Conference” and the reason for our SmartR Technology applied to Smart Community/Village/City Development as follows:
TSI’s MultiCoRelational AutoGnomic (Self-Knowing) Mind-Technology [SmartR Technology -- an AutoGnome] with an instantiation as a MultiCoRelational Scientific Methodology [Inquiry, Inference, Intuition, and Enactment], has a natural instantiation as a CITIZEN SCIENCE with a Citizen Scientist as a personal AutoGnome.
One of the most significant remaining unmined potentials in the world is in the rich base of human, social, relational and intellectual capital to be found in strong and independent small enterprise systems which disperse economic power, localize economic decision-making, and protect the potential for voluntary cooperative organization. The need in order to effectively engage this resource is for new processes and technologies that improve personal and organizational effectiveness in “Knowledge Creation and Development” implemented through an organizational and management architecture respecting autonomy throughout its hierarchical and heterarchical levels. This can be accomplished by effecting collective-intelligence in a cognitive network for Relational [rational & heuristic] Collective Decision Making to support and extend Individual and Collective Innovation. The solution is an Intelligized Cognitive Network of AutoGnomes, a Global Virtual Innovation Network of Citizen Scientists.
SMART METRO: WORLD WEATHER CENTER (WWC)—
World
Weather Center 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.
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 World
Weather Center (“WCC”) intends to offer our guests and App accounts the
opportunity to become more familiar, through Collective Intelligence, with the
causes of weather, experience the weather, learn why it changes, and in some
cases, changes so quickly, and what our future may hold.
The participant will enter this citizen science
multilevel 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” Cit-Sci_App accessed
through the WWC website, ww.worldweathercenter.org.
RURAL - FOOD and ENVIRONMENT:
RURAL - FOOD and ENVIRONMENT:
TRUE FARMERs
The Challenge:The Value of Native Plants and Local Production in an Era of Global Agriculture”; Oren Shelef,1,* Peter J.
Weisberg,2 and Frederick D.
Provenza3
Front Plant Sci. 2017; 8: 2069.
Published online 2017 Dec 5
“Abstract-- For addressing potential food shortages, a fundamental tradeoff exists between investing more
resources to increasing productivity of existing crops, as opposed to
increasing crop diversity by incorporating more species. We explore ways to use
local plants as food resources and the potential to promote food diversity and
agricultural resilience. We discuss how use of local plants and the practice of
local agriculture can contribute to ongoing adaptability in times of global
change. Most food crops are now produced, transported, and consumed long
distances from their homelands of origin. At the same time, research and
practices are directed primarily at improving the productivity of a small
number of existing crops that form the cornerstone of a global food economy,
rather than to increasing crop diversity. The
result is a loss of
agro-biodiversity, leading to a food industry that is
more susceptible to abiotic and biotic stressors, and more at risk of
catastrophic losses. Humans cultivate only
about 150 of an estimated 30,000 edible plant species worldwide, with only 30
plant species comprising the vast majority of our diets. To some extent, these
practices explain the food disparity among human populations, where nearly 1
billion people suffer insufficient nutrition and 2 billion people are obese or
overweight. Commercial uses of new crops and wild plants of local origin have
the potential to diversify global food production and better enable local
adaptation to the diverse environments humans inhabit. We discuss the
advantages, obstacles, and risks of using local plants. We also describe a case
study—the missed opportunity to produce pine nuts commercially in the Western
United States. We discuss the potential consequences of using local pine nuts
rather than importing them overseas. Finally, we provide a list of edible
native plants, and synthesize the state of research concerning the potential
and challenges in using them for food production. The goal of our synthesis is
to support more local food production using native plants in an ecologically sustainable
manner.”
RELATIONAL CAPITAL FORMATION:
Capital Formation Institute (CFI)
Impact Capital
CFI’s mission has been to become the premier international research and educational entity in the fields of early stage capital financing of enterprise creation and growth in helping leaders build more competitive local economies. This Capital Formation effort to date, however, has had minimal direct focus on Human Knowledge Capital, indeed with no explicit attention to the emerging focus on Impact Capital development, i.e. balancing Financial with Human and Social Capital applications.
ATTACHMENTS:
THE AUTOGNOMICS (AG) PROJECTWe are searching to identify a physical locus for a CENTER OF MIND RESEARCH
as the hub of a group Minds acting
in-and-as a Global Virtual Innovation Network, a Collective Mind Creating
Mind
The presence of a Global Collective Consciousness with Conscience (Truth with Relevance and Goodness for all Humanity) in a society is the essential foundation for creating and growing a democracy. The American experiment with such is increasingly seriously threatened at its foundation.
TO CHANGE HUMANITY, WE MUST FIRST CHANGE THE HUMAN MIND
The Human mind, hence humankind, is on the doorstep of a co-created evolutionary extension of itself via a distinct new race of integrated human-machine systems (CyberGnomesTM) which will in time emerge as an embryonic form of an Autonomous Synthetic Mind (SynMind), the AutoGnome.
COMPARING THE COSTS OF EXISTING BIO/BRAIN RESEARCH TO THAT OF THE ONGOING MIND RESEARCH OF THE AUTOGNOMICS PROJECT.
At the human
bio-level the human genome project revolutionized creative genetics [at
a of cost of $3.8 billion over 13 years; with an estimated value created over
20 years at $800 billion].
At the human mind level the AutoGnomicsTM Project intends to experientially map the MultiCoRelational Whole Field Semiotic organization of the human mind, on this foundation to formulate a standard theory of mind, and to technologically synthesize and applicationally engineer its implementation (the AutoGnomeTM), all via an open participation social network of collective intelligent communities of inquiry, innovation and implementation [the current citizen science effort to map the human microbiome is analogous], focused on developing and commercializing incremental components of this SynMind. [estimated cost at $750 thousand to initiate, $750 million to develop over 7 years, and $750 billion of created value over 14 years from initiation to adequate realization]. Note: The $750 million would include the building of a computer with an AutoGnomic Operating system.
AUTOGNOMICS (AG)
DEVELOPMENT INVESTMENTS TO DATE: Over the past five decades, dating to the late
1950’s, an emerging trio of groups of geographically and functionally
independent researchers 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) beginning in 1994. On this foundation, the bulk of the
effort since has been on the interpretation of this specification in small
modules of software code, bit MindClones, building toward a mature AutoGnome, a
Virtual Mind (in a Virtual Community).
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.
AUTOGNOMICS VALUE –
ESTIMATED:
This project has
produced what arguably remains as the only publicly known, globally existent,
experientially-grounded, MultiCoRelational Whole
Field Semiotically formulated, standard
theory of mind with a detailed conceptual specification for building a
synthetic mind. At a baseline value of $41 million in 1999 and conservatively
assessing the value-added during the intervening decade and a half since, the
current estimated value is of the order of $50 million.
THOUGHTSIGNS, INC. (TSI) As of 2011, TSI has absorbed the AGC development entities’ functions and serves as the AG developer and holder of the intellectual property.
Since all that is known
by humans is known by Mind, our approach to Re-Minding Humanity is that it will
eventually emerge as a REFORMATION of GLOBAL HUMAN CULTURE evolving from our
AutoGnomic Global Collective Consciousness with
Conscience (Truth with Relevence & Goodness for all Humanity). For
BigThinking to go beyond concepts demands big money—as a WAG estimate we are
rounding the previously referenced $750 million for the AG Project to $1 Billion.
https://www.nytimes.com/2018/08/14/technology/venture-capital-mega-round.htmlKnown as a mega-round in Silicon Valley, large-scale fund raising is producing a frenzy around tech companies with enough reach and momentum to absorb a large check.
$100 MILLION WAS ONCE BIG MONEY FOR A START-UP. NOW, IT ’S COMMON.
