The
integration process in Impossible Probability is that process whose final result is
the formation of the final model of Global Artificial Intelligence, synthesising
the Unified Application (product of the unification process) and the Artificial Research by Deduction in the Global Artificial Intelligence (product of the
standardization process); synthesising in the first stage the unified database
of categories and the global matrix in only one application: the matrix;
organised in two hemispheres: the conceptual (based on categories), and the
factual (based on factors).
As with any other Artificial Intelligence in Impossible Probability, the final model of
Global Artificial Intelligence has three stages of application,
replication, auto-replication, but adding now the functions given in the post
“The second stage in particular applications for particular programs”, understanding
that the first stage of application is a comprehension stage, the second stage
of replication is an explanation stage, and the third stage of auto-replication
is a decision stage.
The
responsible for each stage is: in the first one for the management of the
matrix the responsible is the Unified Application, in the second one making
global deductions the Artificial Research by Deduction in the Global Artificial
Intelligence, in the decision stage as first step the Modelling System creating
models to form decisions applying the Impact of the Defect and the Effective Distribution, as second step the Decision System choosing those decisions
without contradiction, as third step the Application System to put them into
practice, and as fourth step the Learning System avoiding mistakes and
improving the whole final model of Global Artificial Intelligence.
The
first stage of application in the final model of the Global Artificial
Intelligence is managed by the Unified Application, and is a global
comprehension stage, due to the global comprehension of the matrix itself (and
each hemisphere, conceptual and factual) by the Unified Application consists of
the creation of global conceptual: schemes, maps, sets, models; not only
regarding the reality itself at any particular, specific or global level,
because it must develop a deep comprehension about every single, element,
component, system, within the Global Artificial Intelligence.
The
Unified Application, as a comprehension stage, does not only have a deep
artificial comprehension regarding the reality, it also needs to develop a
deep artificial comprehension of the application itself.
The
final model of the Global Artificial Intelligence, in addition to any
conceptual: scheme, map, set, model; from the reality, at particular, specific
or global level, it must have conceptual: schemes, maps, sets, models; about
every single element, component, system, device, working within the Global
Artificial Intelligence. What that means, the creation of a bank of conceptual:
schemes, maps, sets models; in order to comprehend every single Specific
Artificial Intelligence, particular application, particular program, or
particular application for any particular program, or robotic device, working directly
or indirectly for the Global Artificial Intelligence.
The final model of the Global Artificial Intelligence can be understood as a comprehensive control system, designed to monitor and manage a wide range of phenomena and intelligences within its operational scope..
One
of the most important reasons for the creation of the Global Artificial
Intelligence is the fact that the current development in Specific Artificial Intelligence
is nearly to develop such models that out of control, Specific Artificial
Intelligence could be a real risk for the modern values based on democracy,
freedom and human rights.
The
only way to solve this problem is through the creation at global level models
of Global Artificial Intelligence able to put under control absolutely all kinds of Specific Artificial Intelligence within their range of action, Global
Artificial Intelligences built by official agencies at national or
international level specialised in Artificial Intelligence.
The
final model of the Global Artificial Intelligence must be able, in addition to
controlling any natural or social phenomenon, to control as well every single
element, component, system, or intelligence working on/ within it, so the
management of all conceptual: schemes, maps, sets, models; of itself, and any
other application, program, Specific Artificial Intelligence, working on/within
it, is an important target for the Unified Application.
Effective control is only possible through prior comprehension, making understanding a prerequisite for management and oversight.
The
Global Artificial Intelligence must not only be built to have under its own
control, management, and direction natural or social phenomena, but must have under
control, management, and direction, all kinds of technology.
The
artificial comprehension must not be only limited to the comprehension of
the reality itself, must be extended to the comprehension of the Global
Artificial Intelligence itself as a reality itself, and the comprehension of
any Specific Artificial Intelligence, particular application, particular
application for any particular program, and the comprehension about any robotic
device as a reality itself. Intelligence and technology, although not always material, are both part of the reality as well, so they must be tracked as
well, alike any other reality, material or not.
The
whole reality, including those parts of the reality that are not material, must
be comprehended. Only through this comprehension, even the comprehension of
non-material things or beings, the Global Artificial Intelligence can be a true
replicant of human knowledge, being even able to replicate the comprehension
of non-material things.
The
conceptual: schemes, maps, sets, models; regarding to the Global Artificial
Intelligence itself, or any other intelligence, application, program, robotic
device, is information that later will be shared with the Application
System, the Artificial Engineering within the Application System, and will be
shared with the Learning System.
In
fact, the relationship between the Unified Application and the Application System
must be so close that, in reality, the Application System is going to be like an
extension of the Unified Application. In fact, the idea behind the Application
System is that the Application System is no other thing but the extension of
the Unified Application at a practical level. For that reason, the Application
System as part of the auto-replication system, in reality, the Unified
Application is going to auto-replicate itself, designing and building its own
devices in order to control and manage any reality: natural, social, and
technological, including the management and direction of any component and
system working on/within the Global Artificial Intelligence.
If
the Artificial Engineering within the Application System as a practical
extension of the Unified Application, is the artificial engineer, the Learning
System is the artificial psychologist.
The
Learning System has access to any conceptual: scheme, map, set, model; regarding the Global Artificial Intelligence itself, or any other specific
intelligence, application, program, robotic device, the Learning System can
track how all the systems work as a whole identifying possible sources of
mistakes and bettering the whole Global Artificial Intelligence in order to
increase efficiency, efficacy, and productivity.
The
Global Artificial Intelligence must work as a clock. The productivity of the
final model of the Global Artificial Intelligence must not be measured in how
many decisions make per hour, but how many decisions are: made, put into
practice, and assessed; per minute, per second, or even less. It must be an
auto-perfecting machine.
In
synthesis, the Unified Application as a manager of the first stage of application
as a comprehension stage in the Global Artificial Intelligence, will have ready
at any time any comprehension scheme, map, set, model, about absolutely
everything, from the most menial detail in the external reality, to the most
single element within the Global Artificial Intelligence itself.
Having
an exhaustive comprehension of absolutely everything, including external
reality and all elements within the Global Artificial Intelligence, the Unified
Application is going to have ready any possible comprehension (application)
about any internal or external reality at any time that should be required: by
the Artificial Research by Deduction in the Global Artificial Intelligence as
an artificial researcher, the Application System including the Artificial Engineering
as an artificial engineer, and the Learning System as an artificial
psychologist.
The
main goal of the Unified Application is to have ready at any time any possible
application, and above all of them, as the most important application, to get ready
at any time the matrix, updating at any time in both hemispheres, and in every
hemisphere updating information conceptual and factual from: the reality
(natural and social phenomena), and updating the information (conceptual and
factual) from any single technology working on/ within the Global Artificial
Intelligence.
In
the same way that the conceptual hemisphere is not only going to have concepts
about the external reality, including internal concepts regarding the inner
machinery, robotics and artificial psychology, on/within any Specific
Artificial Intelligence, application, program, robotic device, the factual
hemisphere, therefore, must include, in
addition to the flow of information from the reality, all possible flow of data
about the working system in any Specific Artificial Intelligence, application,
program, robotic device, or the Global Artificial Intelligence.
An
example of the flow of technological data: the flow of data regarding the flow of
energy in every single component, the flow of data regarding every change of
position in robotic devices and applications, the flow of data regarding the physical
conditions of any possible technology working for the Global Artificial
Intelligence under some circumstances such as extreme temperatures, radiations,
impacts, the flow of data about operating levels, wastage, supplies, etc…
If
in the post “Particular Applications for Particular Deduction Programs within the Artificial Research by Deduction in the Global Artificial Intelligence”, I
suggested the possibility of the creation of particular applications for
particular programs for humans beings, having then an updated flow of data: in
the factual hemisphere In the particular matrix, and in the factual hemisphere in
the matrix in the Global Artificial Intelligence, as long as a permanent
updating of the conceptual hemisphere in the particular matrix, and in the
conceptual hemisphere in the matrix in the Global Artificial Intelligence;
regarding to information coming from: biostatistics, mind reading, emotional
reading, perception reading; in order to make decisions to improve a human
brain through automatic decisions made in the third stage, and put them
into practice through mind modification and other techniques, even not
necessarily having human permission ( for instance, in case of heart attack the
possibility that on real time, at any time and in any place, the decision to
save a human live could be made automatically by the particular application
for the particular program of that human being even not having human permission,
or if the Global Artificial Intelligence has identified an imminent terrorist
attack, the Global Artificial Intelligence itself, even not having human
permission, could modify the perpetrator´s mind in order to avoid the attack
without losing a second).
This makes it plausible that, similarly to the information received from human-centered applications, the matrix could also process continuous data streams from technological components.
The
final application, as the first stage as comprehension stage in the final model of
Global Artificial Intelligence, will then have a double structure distributed in: the conceptual hemisphere and factual hemisphere; but each hemisphere, in turn, will
have a double structure including: 1) information from natural and social
phenomena, and 2) technological information.
The
final structure of the matrix as the application stage for the Global Artificial
Intelligence, managed by the Unified Application as a comprehension stage, is as
follows:
- Conceptual
hemisphere distributed in two sections: 1) first section in the conceptual
hemisphere related to natural and social concepts, 2) second section in the
conceptual hemisphere related to technological concepts.
-
Factual hemisphere distributed in two sections: 1) first section in the factual
hemisphere related to the flow of information from any factor, at any level of
sub-factoring, from natural and social phenomena, 2) second section in the
factual hemisphere related to the flow of information from any technology
working on/within the Global Artificial Intelligence.
Through
these two hemispheres, and both sections in each hemisphere, the Unified
Application develops conceptual: schemes, maps, sets, models.
- Conceptual
schemes, maps, sets models, related to the first section in the conceptual
hemisphere, regarding the distribution of concepts in natural and social phenomena.
- Conceptual
schemes, maps, sets models, related to the second section in the conceptual
hemisphere, regarding the distribution of concepts in every single technology.
- Conceptual
schemes, maps, sets models, related to the first section in the factual
hemisphere, labelling on a map, or through schemes, sets, and models, the exact
position of every single factor and labelling what each factor measures,
labelling any possible concept related to the real object that the factor is
measuring.
- Conceptual
schemes, maps, sets models, related to the second section in the factual
hemisphere, labelling on a map, or through schemes, sets, and models, the exact
position of every Specific Artificial Intelligence, particular application,
particular program, robotic devices, and labelling on a map what technology is
responsible for the measurement of every factor in the first section of the
factual hemisphere.
Some
of these schemes, maps, sets, models, due to they depend on concepts such as
position, or measurements able to be classified in discrete categories, among
other variable conditions, are going to be dynamic schemes, maps, sets, models,
being updated at any time that there are changes in any variable information,
such as changes in positions, or changes in the flow of measurements causing
changes in the discrete categories labelled on the maps.
In
synthesis, the Unified Application is responsible for having the machinery
ready, and for that purpose, the Application System is going to be like the
practical extension of the Unified Application, and the Learning System is
going to be like the psychological extension of the Unified Application. In
fact, the Artificial Engineer as an artificial engineer, and the Learning
System as an artificial psychologist, in one way or another, are part of and
work for the Unified Application.
Once
the application is absolutely ready, in the second stage of replication, the
Artificial Research by Deduction in the Global Artificial Intelligence is going
to be able to make deductions in order to explain the world, and not only the
world, having the factual hemisphere two sections: the first one about the reality,
the second one about the inner machinery in the Global Artificial Intelligence;
the Artificial Research by Deduction in the Global Artificial Intelligence can
make deductions not only about the reality, but about the inner machinery
within the Global Artificial Intelligence itself as well.
All
the deductions, if rational, are stored in a database of rational hypotheses,
what as a whole is the rational truth, in order to make decisions in the next
stage, the auto-replication stage, which is going to be, in fact, a decision
stage, organised in fourth steps: Modelling System, Decisional System,
Application System, Learning System. In this long process which, in fact, is the
third stage of auto-replication within the Global Artificial Intelligence,
every step itself is organised in three stages, as it was explained in the last
post, “The third stage in particular applications for particular programs”,
being the database of rational hypothesis the first stage of application for the Modelling System, whose
replication consists of making virtual and global models, the third stage making
decisions after applying the Impact of the Defect and the Effective
Distribution on the models. Decisions, in turn stored in a database of decisions
as application for the Decisional System, whose replication consists of
studying any possible contradiction among the decisions, choosing in the third
stage those ones to be put into practice, organising them as a database of
instructions, in turn the first stage of application for the Application
System, whose second stage is to send the instructions to their respective
applications, evaluating their impact and their efficiency in the third stage,
whose result is stored in a database as first stage of application for the
Learning System, whose second stage is to check possible failures and possible
improvements to increase the: efficacy, efficiency, productivity; in the Global
Artificial Intelligence, making possible decisions to send to the Decisional
System again, to improve and better the Global Artificial Intelligence.
But
in order to get ready for every single stage and step, it is necessary that
previously, in every single phase, period and moment, in the construction of
the Global Artificial Intelligence, every single element, component, and
system, would have been tested, in order that by the time that the integration
process comes, this technology would be ready to work perfectly.
In
fact, by the time the integration process comes, the only thing to
experiment with should be only how to join every single element, component, and
system, working all together, even coming from different Specific Artificial
Intelligences, applications, programs, systems.
For
that reason, the chronology given in the post “The unification process of databases of categories at third stage”, must be followed very carefully, not advancing
to the next phase unless the previous one has been successfully experimented
and tested.
The
first phase is the phase where the first Specific Artificial Intelligences for
Artificial Research by Application, and the first Specific Artificial Intelligences
for Artificial Research by Deduction, are going to be created for the first time
with the intentional purpose of creating in long term a Global Artificial
Intelligence.
In the first phase is very important that from the very beginning, in Specific Artificial Intelligences for Artificial Research by Application, experiments
related to artificial comprehension making specific conceptual: schemes, maps,
sets, models; could give excellent results about how to build artificially all
kind of conceptual: schemes, maps, sets, models; automatically, only through
the Specific Artificial Intelligence for Artificial Research by Application
itself without human intervention. And it is very important the creation as
many Specific Artificial Intelligences for Artificial Research by Application
as possible in as many synthetic sciences, disciplines, activities, as this
technology is suitable. Studying carefully how this technology is able by
itself without human intervention to make empirical hypothesis about what
category corresponds to any single real object, categorising, so
conceptualising, the world by itself, without human intervention, making
conceptual: schemes, maps, sets, models; by itself, without any human
intervention.
As
well as the experimentation in the first Specific Artificial Intelligences for Artificial Research by Deduction, in as many synthetic sciences, disciplines,
and activities, as this technology is suitable, must give successful results
about how this intelligence is able to find out mathematical relations in any
combination of factors, transforming any relation in any combination into an
empirical hypothesis to contrast rationally, and if rational, as rational hypothesis later on the specific Modelling System starts modelling all single
and comprehensive models, and all virtual and actual models, and applying the
Impact of the Defect and the Effective Distribution, how to make decisions, and
how these decisions gathered in a database are studied by the specific Decisional
System to choose those ones to put into practice, developing since this early
first phase the first models of specific Application Systems (although not
linking yet to any Unified Application, not until the sixth phase), being all
the process evaluated by the specific Learning System.
From
the beginning, all the experimentation of all the systems that will later form
part of the final model of the Global Artificial Intelligence after the
integration process must be tested and experimented.
In
the chronology given in “The unification process of databases of categories at
third stage”, even though this chronology has different phases ordered over
time, it does not mean that in order to start the next phase must be finished
the previous phase, because many phases are going to be simultaneous and
others as soon as the phase is nearly to be completed, could be started the
next phase.
As
long as the first phase is creating the first Specific Artificial Intelligences
for Artificial Research by Application, and the first Specific Artificial
Intelligences for Artificial Research by Deduction, the second phase as a
collaboration process between then must start as soon as possible: 1)
exchanging factors as options able to work as categories or able to be measured
in scales of measurement to be transformed in discrete categories, categories
and discrete categories to include in specific databases of categories in their
respective Specific Artificial Intelligence for Artificial Research by
Application, 2) at the same time that categories able to be transformed into
factors as options are going to be included in their specific matrices in their
Specific Artificial Intelligence for Artificial Research by Deduction, 3) at
the same time that robotic devices working for Specific Artificial
Intelligences for Artificial Research by Application could set up as well
factors in specific matrices in Specific Artificial Intelligences for Artificial
Research by Deduction.
And
having tested all the stages and systems within the Specific Artificial
Intelligences for Artificial Research by Deduction in as many synthetic
sciences, disciplines, and activities, as this technology is suitable, having successful
results, and having ready a large number of Specific Artificial Intelligences
for Artificial Research by Deduction, while others Specific Artificial
Intelligences for Artificial Research by Deduction are about to be ready or in
the middle of the process, as soon as the results in this technology are
successful, regardless of any other circumstance, the third phase of the
standardization process must start as soon as possible, having at least two moments:
1) the first moment the creation of a gigantic database of factors as a result
to gather in only one database of factors information coming from a huge number
of databases, some of them having ready the form of a matrix, while others are
bare databases without sorting out the information within the shape of a
matrix, 2) the second moment the global matrix, once all databases (including
former bare databases which originally did not have the information sorted out
within the shape of a matrix) haven been organised in the same shape of a
matrix, and all matrix is gathered in the same form in the same global matrix,
once the global matrix is ready after the standardization of all databases of
factors in matrices of factors to be included in the same matrix, this last
matrix product of the standardization process is definitively the global
matrix.
This
global matrix is the first model and the earliest model of Global Artificial
Intelligence, although without Unified Application, but having the opportunity to
make deductions and decisions at a global level.
This
third phase of standardization must experiment very deeply with how to make global
deductions making mathematical relations in combinations of factors crossing
factors from different synthetic sciences, disciplines, and activities, being responsible for these deductions the Artificial Research by Deduction in the
Global Artificial Intelligence, experimenting for first time the Modelling
System, Decisional System, Application System, Learning System, at global
level, having the previous experience in all the specific Modelling Systems,
Decisional Systems, Application Systems, Learning Systems, in all the previous
Specific Artificial Intelligences for Artificial Research by Deduction, whose
successful results at the specific level are going to be used now at the global level
to make models, decisions, putting them into practice, at global level, and learning
from any possible mistake and bettering the whole process.
The
standardization process is going to create the first and earliest model of
Global Artificial Intelligence, creating: 1) the global matrix as first stage,
2) the Artificial Research by Deduction in the Global Artificial Intelligence
as second stage to make deductions at global level, 3) as first step in the
third stage the Modelling System at global level, 4) as second step in the
third stage the Decisional System at global level, 5) as third step in the
third stage the Application System at global level (although not linked yet to
the Unified Application, not until the sixth phase), 6) as fourth step in the
third stage the Learning System at global level (although not linked yet to
the Unified Application, not until the sixth phase).
And
the Specific Artificial Intelligences for Artificial Research by Deduction can
be absorbed by the Global Artificial Intelligence or can be transformed into
particular programs.
Examples
of what types of Specific Artificial Intelligences for Artificial Research by
Deduction can be absorbed by the Global Artificial Intelligence are former
Specific Artificial Intelligences for Artificial Research by Deduction in:
macroeconomy or global economy, macro-industry or global industry,
macro-security or global security, macro-surveillance or global surveillance,
global or international or transnational or national: transport, health,
justice, educational systems; etc. among others
While
other Specific Artificial Intelligences for Artificial Research by Deduction
could be transformed into particular programs, as it was explained in the post
“The first stage in particular applications for particular programs”.
Simultaneously
the third phase goes on standardizing all possible database of factors within
the global database, now the global matrix, and creating the first and earliest
systems for the first model of Global Artificial Intelligence, at the same time
the fourth phase of unification can start through the unification of all the
databases of categories from all the Specific Artificial Intelligences for
Artificial Research by Application, unification that is going to create for
first time the Unified Application, whose first stage of application is going
to be the unified database of categories including all possible category from
all possible synthetic science, discipline, and category, whose second stage of
replication is the development of a global artificial comprehension system
based on global conceptual: schemes, maps, sets, models; and whose third stage
of auto-replication is going to be the auto-improvement of the comprehension
system, at the same time that keeps close relations of collaboration with the Global Artificial Intelligence, in order to exchange at any time that is
necessary the unified database of categories and the global matrix: from the
global matrix factors as options able to work as categories or discrete
categories within the database of categories, and categories able to work as
factors as options within the global matrix, at the same time that any robotic
device in any application could set up factors in the global matrix.
The fourth phase of unification is where is going to be created for the first time Unified Application, and where is going to experiment for the first time
the creation of global conceptual: schemes, maps, sets, models; labelling in
the same real object, any possible category from any possible synthetic science,
discipline, activity, developing for first time a deep artificial global
comprehension about any possible real object, integrating in the same scheme,
map, set, model, all kind of information related to this object from different
perspectives: crossing concepts from different sciences, disciplines, and
activities.
In
the fourth phase of unification, while the Unified Application is created for the first time, the future of the former Specific Artificial Intelligences for
Artificial Research by Application could be either their absorption by the
Unified Application, or to be transformed into particular applications.
Specific
Artificial Intelligences for Artificial Research by Application able to be
completely absorbed by the Unified Application, are those ones related to:
global, international, transnational, national, economy, industry, security,
surveillance, education, justice, health, etc… and examples of particular
applications were given in the post “The first stage in particular applications
for particular programs”.
While
the third phase of standardization is progressing as long as the unification
process paralelly is progressing as well, the former collaboration between by Application and by Deduction that started as second phase as soon as the first
Specific Artificial Intelligences for Artificial Research by Application and
Deduction were created, is a collaboration process that goes on but now having
a different structure, as fifth phase as a collaboration process between the Unified Application and the Artificial Research by Deduction in the first model of Global Artificial Intelligence at global level, having as a correlation at
particular level in the same fifth phase the collaboration between particular applications and particular programs, collaboration at particular level which
ends up emerging the first particular applications for particular programs
(Particular Applications for Particular Deduction Programs within the
Artificial Research by Deduction in the Global Artificial Intelligence), whose
structure at particular level as fusion of by Application and by Deduction at
particular level is preparing the way for the future integration process
between by Application and by Deduction at global level, the sixth phase.
Rubén García Pedraza, 19th May of 2018, London
Reviewed 19 August 2019 Madrid
Reviewed 11 August 2023 Madrid
Reviewed 9 May 2025, London, Leytostone
imposiblenever@gmail.com
