Under
the title of the Modelling System at a particular level, are considered all those processes to make decisions regarding a particular thing or being, for
particular programs and particular applications for particular programs, in
addition to those particular decisions made by the Global Artificial Intelligence itself regarding a particular thing or being.
In
synthesis, at a particular level are distinguishable at least two different agents
able to make particular decisions: the
Modelling System in the Global Artificial Intelligence, and the Modelling System in particular
programs.
Particular programs are a particular evolution of Specific Artificial Intelligences for Artificial Research by Deduction after the inclusion of their
specific matrices in the global matrix in the standardised Global Artificial Intelligence.
During
the standardisation process, Specific Artificial Intelligences for
Artificial Research by Deduction can be absorbed by the Global Artificial
Intelligence becoming specific deductive programs in the second stage, so that
they could make specific deductions, while the Artificial Research by Deduction in the Global Artificial Intelligence, as a global deductive program, makes
global deductions.
Otherwise, Specific Artificial Intelligences for Artificial Research by Deduction can
be transformed into particular deduction programs for particular things or
beings, so as to make particular deductions regarding particular things or
beings.
The
point in particular deductions made by particular deductive programs is the
fact that particular programs only make deductions based on factors,
extracted from the global matrix, previously included in the particular matrix, having the risk of not being aware of other possible factors that could
affect its particular thing or being because they have not been included yet in
the particular matrix.
In
order to avoid this problem, one solution is the possibility to make particular
deductions, in order to make particular decisions in the third stage of the
Modelling System at a particular level, by the Global Artificial Intelligence, in addition to those made by particular programs.
The
way in which within the Global Artificial Intelligence is possible to make
particular deductions in order to make particular decisions could be through
the permanent surveillance of particular things or beings by global deductive programs or by specific deductive
programs, or even the possibility that any Specific Artificial Intelligence for
Artificial Research by Deduction transformed into a particular program, could
have a replica working on the same thing or being within the second stage of
the Global Artificial Intelligence.
The
reason for this duplication: particular deductions and decisions made in the
Global Artificial Intelligence made under the surveillance of particular things
or beings by global or specific deductive programs, at the same time that
particular deductive programs do deductions and decisions and particular level
on the ground; is due to the necessity to have a deductive program working
directly on the ground immediately, at the same time that surveillance is carried out from global or specific
programs.
The
necessity to have particular programs working on the ground is specifically very important in those particular deductive programs working on human beings, personal deductive programs.
The
evolution of particular programs is to be synthesized with particular
applications, having as a result particular applications for particular
programs, in the fifth phase, particular applications for particular programs
for particular things or beings, one of these particular beings in which this
particular applications for particular programs could work is the creation of
particular applications for particular programs for human beings.
A
particular application for a particular program for a human being, a personal particular program, could develop
deductions and decisions for this particular human being, being the milestone
for the evolution from the current human psychology to cyborg psychology.
While
the particular application for the particular program in human beings allows
the transformation of human beings into cyborgs, having an (individual)
particular psychology, this individual psychology behind the particular
psychology should be tracked as well in the second stage of the Global
Artificial Intelligence, through global or specific deductive programs, or a
replica of this particular program, in order that, in combination of any
possible decision made by the cyborg psychology, this could be enhanced and
improved by particular decisions made at global level regarding to a particular cyborg combining factors from the
global matrix not included in the particular matrix.
Cyborg psychology thanks to the support given by the Global Artificial
Intelligence could develop particular decisions at the same time, if a
mistake is committed at a particular level, or a factor not included in the
particular matrix yet is not having into account, for under the permanent
surveillance of the Global Artificial Intelligence, the cyborg psychology could
be protected and enhanced at any time by the Global Artificial Intelligence
itself.
For
a better comprehension of how this process works, it is necessary to have a
glance at how this process works since the very beginning, starting with
the deduction process.
I
will develop a short panoramic of how this process, from the deduction
to the decision, works in general terms, and later I will develop some
differences between the decision-making process at a particular level with
respect to other levels.
The
general process from the deduction process to the decision process is:
-
1.The (global/specific or particular) deduction program tracks all possible
combinations of factors in the (global or particular) matrix.
-
2.The data from every single factor within the combination is analysed by the
(global/specific, particular) deductive program. In this analysis, the deductive
program must analyse the following information:
-
2.1. What types of factors are: a combination of only factors as subjects,
a combination of only factors as options, a combination of factors as subjects
and as options.
-
2.2. If there is any factor (subjects, options, or both) within the combination
working as constants (within a margin of error, constant measures).
-
2.3. If factors are not working as constants, factors can work as independent variables with respect to each other (in that case there is
no causation between them), or some of them (subjects, options, or
both) are independent, and the others (subjects, options, or both)
dependent variables.
-
2.3.1. Independent variables are all those whose changes are not due to
changes in other variables but to internal processes. For instance, the genetic
development of a human being, living on Earth, from birth to death is
independent of the lunar cycles, if there is no relation of causation between
lunar cycles and human development, in other words, if there is no relation between the data of our genetic development and the lunar cycles. The
genetic human development would depend on lunar cycles only if, by chance, any data in our human genetic development is caused by
lunar cycles, not having a relation between both factors, then both are independent
variables.
-
2.3.2. Dependent variables, if there is some data of our human genetic
development depending on lunar cycles, should be
detected in every lunar cycle or a range of
lunar cycles, identifying within a margin of error, changes
in the data provided by the human genetic development. If this change in our data is found,
there is rational evidence of causation; if not, both are independent.
Because human knowledge is provisional, even when there is no relation of causation, every combination of factors must be permanently
tracked, and evidence of any possible relation could be found unsuspectedly at any time,
even when we do not expect it.
-
2.4. Having more than one independent variable, what kind of 1) any other
stochastic relation could be identified between independent variables, such as
possible
directly proportional positive correlations, possible directly proportional
negative correlations, possible inversely proportional correlations, when one
or more factors increase while others decrease or vice versa, 2) what possible
relations could be there in terms of the Second Method of Impossible Probability, such as equal opportunities or bias, positive or negative, 3) any other cryptographic relation, or
mathematical pattern.
- 2.5. For
every kind of mathematical relation (stochastic, pattern, cryptographic, equal
opportunities or bias) in the pure reason (list of mathematical, analytical,
categories of possible relations between factors, in all deductive programs)
there must be cataloged a very detailed list of all the possible pure reasons
(all the mathematical or analytical categories or relations) as it was
described in the post “the artificial method for the scientific explanation, the second stage in the integration process”.
2.6. Having
a very detailed pure reason including all possible mathematical (pure or
analytical) possible relations between factors, and having identified, in the
combination, every factor as subject or option and as constant or variable,
dependent or independent, according to this information, the deductive program
must match the relations found in any combination of factors with the right pure reason,
that mathematical (pure or analytical relation) which fits with the information
provided by the combination of factors.
3. The
synthesis of data obtained in the combination and the pure reason is an empirical hypothesis regarding to the factors involved. The way in which the
empirical hypothesis could be formalised is through a mathematical equation
expressing the mathematical relations, in accordance with the pure reason
chosen, between the factors. In order to get ready the empirical hypothesis for
the rational contrastation, the formalization of the empirical hypothesis as an
equation could be done through, according to the data and the pure reason, the
calculation of cloud of points, slopes, and trigonometric data, the value
of the constant if any, types of lines and regression lines or curves, and
calculation of limits, in order to set up the equation that best defines
relations between factors in the combination of factors.
4. The
empirical hypothesis, as a mathematical equation, is rationally criticised,
taking samples of every factor from the (global or specific) matrix, and
choosing, in accordance with the pure reason and the nature of the factors
(subjects, factors, or both), the right method to do the rational contrast.
First rational check (the seven rational checks were explained in the last
post, concretely in the last post “Third stage in the Modelling System in the standardisation process”.
5. If the
empirical hypothesis as a mathematical equation is found rational, the empirical
hypothesis becomes a rational hypothesis, and as a rational hypothesis, the
mathematical equation is filed in the database of rational hypotheses, the first
stage of the Modelling System. The program responsible for storing each rational
hypothesis in the database of rational hypotheses is the same deductive program
that was responsible for the deduction, after the rational demonstration, the
deductive program files the rational hypothesis in the right file in the
database of rational hypotheses.
6. The
proposal of Impossible Probability to file the rational hypothesis in the
database of rational hypothesis is through the organisation of this database
in a subsection system, having at least three main sections: global, specific,
particular; and for every section as many sub-sections as deductive programs
working for every section. So every global, specific, particular, deductive
program has its own sub-section in its respective section, and in every
sub-section, there are as many sub-sub-sections as pure reasons in the pure
reason, so every deductive program in its respective sub-section files every
rational hypothesis in the respective sub-sub-section according to the pure
reason used, so in that sub-sub-section only are gathered rational hypotheses
made by this deductive program using this pure reason.
7. At any
time that a deductive program files a rational hypothesis in the database of
rational hypotheses, first stage of the Modelling System, the Modelling System
carries out the second rational check, checking any possible contradiction
between this rational hypothesis and any other already included.
8. At
regular intervals, deductive programs make a third rational check, contrasting
rationally the rational hypothesis filed in their respective sub-section, to
check that all of them are still rational.
9. At any time
that a rational hypothesis is filed in the database of rational hypotheses, the
Modelling System, as a second stage of the Modelling System, creates a single
virtual model of every rational hypothesis recently included according to the
mathematical equation in which the rational hypothesis has been expressed. This
process must be automatized, only observing in what section: global, specific,
particular; what sub-section: deductive program responsible for the rational
hypothesis; and what sub-sub-section, the pure reason used, and reading the
rational hypothesis as a mathematical equation, automatically the Modelling
System in the second stage must carry out the single virtual model.
10.
The single virtual model is included in the global model, the Modelling System
carries out the fourth rational check, checking that there is no contradiction
between the new single virtual model and the rest of the global model, in case
of contradiction it must do further researches to discovery the source of error
(the most common will be how to interconnect the single virtual model within
the global model).
11.
The new global model after the new incorporation, is synthesized with the
global matrix, in the actual model, comparing if the values in the virtual
model are, within the margin of error, in coherence with the real values in the
actual model, the fifth rational check, if not, further researches must be done
to discovery the source of error.
12.
Taking the global model as a very accurate model after five rational checks, the virtual prediction model is made.
13.
Taking the virtual prediction model and the current global model as a description of the present, the virtual evolution model is a virtual evolution
from the global model, present, to the future, the virtual prediction model.
14.
The actual evolution model is the synthesis between the real values in the
global matrix as long as the evolution is going on, comparing this data with
the predicted values for every moment of this evolution in the virtual model,
observing if the real values, within the margin of error, are within the
predicted values, the sixth rational check
15.
As long as the predicted future is coming, the values predicted are checked
with the real values, in the actual prediction model, studying if the prediction
is right or not, and if not right, doing further research to find the source
of error, being this seventh rational check.
16.
In the third stage of the Modelling System, the decision-making process, making
protective or bettering research decisions based on all the virtual and actual
models. And at a particular level, in addition to the research decisions, the
possibility of making learning decisions for particular things or beings, what is
going to make a difference between human and cyborg psychology.
However,
this long process to make (global, specific, particular) deductions to make
(global, specific, particular) protective or bettering decisions, is only a
proposal, the final model of Global Artificial Intelligence after further
experimentation is going to be possibly quite different, adding as well
contributions from other philosophies and mathematical traditions from other agencies specialized in Artificial Intelligence in the countries involved in this project.
The
reason why at a particular level this process has differences with respect to the
global and specific levels, and there is no difference between the specific and global levels, is because sooner or later as soon the integration is coming, the
specific level is going to disappear, being completely absorbed by the global
level.
If
the global matrix works as a Russian dolls system, for instance, all possible
specific matrix of all possible village, town, city, in the United States, are
gathered as sub-factors in their respective county, and the matrix of every
county, as a flow of package of information containing the specific matrix of
every village, town, city, is include as well as a sub-factor in the matrix of
every State, and the package of information of every Stage, as a set of
sub-factors from all its counties including all sub-sub-factors from all towns,
villages, cities, in turn the matrix of every State is included in the matrix
of the United States, and in turn the matrix of United States as a sub-factor could be integrated in a bigger matrix including factors from Canada, Mexico, Honduras,
Panama, Chile, or South Korea… at the end the organization in a sub-factor
system of the global matrix in the standardization process, the matrix in the
integration process, what is going to do is the transformation of many original
specific deductive programs into global deduction programs as long as the
sub-factoring system allows these programs to work in a wider range of action
every time.
In
the end, this work is going to facilitate the tracking of the matrix in
the integration process, creating a deduction program for every
sub-factoring level in every factor, having the Global Artificial
Intelligence as many deductive programs as sub-factors at any
sub-factoring level.
In this process, there will be moments in which the difference between global deductive programs and
specific deductive programs is pretty minimal, or completely banished.
The
difference would be between global and particular levels.
Even
in case the particular level in this evolution could be completely
absorbed by the global level, one reason to keep working on the particular level,
but under the surveillance of the global level, is because of the cyborg
psychology.
The
particular level goes beyond cyborg psychology, but within the particular level, cyborg psychology is going to be one of the most important to care for and keep
alive.
The
particular level, in fact, could be applied to any particular thing or being.
When I say any particular thing, for instance, a thing could be a building, an
airport, a television channel, a farm, a factory, a mine, a ship, a spaceship,
the sun, Mars, the galaxy, a black hole, a car, a bike, a motorbike, an oven, a
fridge, or even any particular electrical tool, your mobile phone, or your
laptop. A particular being could be a bee, a wasp, a mosquito, a whale, an
elephant, a lion, or a human being. A particular thing or being could be absolutely anything or anybody.
The
reason why particular things and beings, in addition to research decisions,
are important to make learning decisions is due to the difference between
research decisions and learning
decisions. Learning decisions are based on probability, and research decisions depend on rational analysis, which means rational contrastation of hypothesis,
If for a particular thing, we can understand the airport of Santiago de
Chile, the airport of Miami, and the airport of Panama City, and for particular
things we can understand as well every particular plane flying from anywhere
to Santiago de Chile, Miami or Panama City, and in a single day, at the end of
summer, in the same day, there is an earthquake in Santiago de Chile, a
hurricane in Miami, and a traffic jam airport of Panama city, would
it be possible automatically by Artificial Intelligence to have under control the
situation, making all the necessary rational decisions in order to divert all
the flights to safer places?
This
could be possible if, at a particular level, it were possible to make learning
decisions associated with probabilities.
For
instance, for any flight, the calculation of how much fuel the jet has, where are located the closer international airports, which is the probability to get
those airports with the remaining fuel (the remaining fuel in the jet divided
by the product of: fuel per kilometer multiply for the kilometers to each airport),
and among all those with the highest probability, which of them has good
weather conditions and capability to receive flights (for example, at the end
of summer some airports could be under overbooking), in addition, the
calculation of the new routes to get these airports from the current location
of every jet.
All
these calculations need a lot of information regarding to: fuel, weather
conditions, locations of international airports and jets, and availability of all
those routes to get to the airports. But if all this information is automatically
gathered through conceptual maps and global matrix containing global information
for instance global weather conditions, and a particular matrix containing
information regarding to every single airport and jet, would be very easy the
automation of these decisions based on artificial learning: decisions associated
with levels of probability; decisions that should later be included in the
database of decisions in the Decisional System to be approved.
At
any time that any particular thing or being faces a problem, the automation of
the solution through artificial learning would be really easy if all the
information necessary to make the calculation of probabilities, is information
gathered automatically permanently in databases, in this case, is important to
have under consideration how conceptual maps, made by Application, and factual
information, how much fuel has every jet, or climatic conditions, can work
together, being one of the most important reasons to link, starting at a particular level in the fifth phase, the collaboration between both of them
working together within the same matrix, through the particular application for
particular programs in order to make, as I have explained, not only decisions
based on artificial research but decisions based on artificial learning.
But, besides artificial learning, now we also have artificial research.
Using similar processes used before in artificial learning, now
under the theory of the Global Artificial Intelligence, a deduction program, at
any level, would be able to resolve any mathematical model through three steps:
identification of factors and pure reasons behind any problem, calculus,
rational decision based on the results to be included in the database of
decisions in the Decisional System.
These artificial decisions, using not very different methods than those used in
artificial learning, I will call them decisions based on mathematical
resolution of problems, or decisions based on solving mathematical problems.
Assuming
that these decisions go beyond the original model of artificial learning, I will still include solving
mathematical problems within artificial learning decisions, and all these
decisions, along with decisions based on artificial research, are going to be
made at a particular level.
As I had said in the post “Particular applications for particular deduction programs within the Artificial Research by Deduction in the Global Artificial Intelligence”, in reality, this fifth phase corresponding to the particular
applications for particular programs, is an experimental phase, because all the
results obtained in this phase, integrating firstly at particular level
applications and programs, are going to be later put into practice at a global
level in the integration process creating the final model of Global Artificial
Intelligence, when the Unified Application and the global matrix are both
synthesized in only one: the matrix.
If
at a particular level is possible to get successful results in decisions based on
the automation of solving mathematical problems, by the time the sixth
phase starts, the integration process, the Global Artificial Intelligence could
be able to solve mathematical problems at a global level.
Even
this experimentation, although I have started talking about it in the Modelling
System at a particular level, could start even before, since the first and second phases with the relations of collaborations between the first Specific Artificial Intelligences for Artificial Research by Deduction and by Application.
In
fact, as I have said since the beginning, Learning decisions (including the
classic ones, Yolanda, and the new ones, solving mathematical problems) and
research decisions at a particular level can be made by global and/or specific
programs (in the third phase of the standardization process, and in the sixth phase of integration process), particular programs (second period of formation in
fifth phase), particular applications for particular programs (third period of
consolidation in fifth phase).
The
way in which learning decisions are made by global/specific and particular programs,
regarding particular things or beings, could be done, is through three
stages:
- 1.
First stage, the identification of what factors are involved and pure reasons behind them
(in this example, the factors are: remaining fuel, routes, airports closed, and
airports opened, weather conditions, and facilities; the dependent
variables are: what airport to get and what route, depending on weather, fuel,
good facilities).
-
2. The second stage is calculation (in this example, probabilities to get the closer
airports, and the probabilities of availability of these airports, due to good
facilities, good weather conditions, and no overbooking. Mathematically, the probability
of a jet to get to an airport is equal to the multiplication of the probability to
get to that airport according to the remaining fuel, multiplied by the
probability of good weather conditions for landing in this airport, multiplied by the probability of
good facilities by the time that the jet is landing)
-
3. Third stage, rational decisions based on calculations, and included in the
database of decisions, managed by the Decisional System, waiting for
approval.
All
this process could be automated, using the critical reason as responsible
for the decision, once all the calculations have been done after the
identification of the factors and the identification of the pure reason behind
the factors. Finally, the decisions must be authorised by the Decisional System, gathering all the decisions in a database, checking in a mathematical
project that there is no contradiction between these decisions, and approving only
those ones free of contradiction, in addition to all those ones approved after
some modification If there are contradictions.
The
three stages of solving mathematical problems have the same stages as any other
Artificial Intelligence or program, with the difference that: the
identification of factors and pure reasons is made through the information
already gathered in the global matrix, and in the pure reason, the calculations
are to resolve a problem instead of making empirical hypotheses, and the
critical reason is to make a decision instead of accepting as rational a
previous empirical hypothesis.
Excepting
for these differences, the process to solve mathematical problems automatically
by deductive programs is pretty similar to the deduction process, because it
needs to identify factors and pure reasons, make calculations, and, upon the
results, make decisions to be included in the database of decisions in the
Decisional System to be approved.
This
process of resolution making decisions based on solving mathematical problems,
is a process that could be done simultaneously by particular programs and by
global/specific programs, for instance in the example given about the closed
airports of Santiago de Chile, Panama City, and Miami, and the necessity to
change the route to all those flights affected, every single particular program
can make its own decisions, the control tower of Santiago de Chile, the control
tower of Panama City, the control tower of Miami, at the same time the
particular program of every jet can make its own decisions, along with possible
decisions made by global or specific programs working on air transport.
At
the end, regardless of the number of decisions and which programs were
responsible for what decisions, it does not matter if one decision was made at a global level, specific, or particular, at the end all decisions are gathered in
the same database of decisions, as the first stage of application of the Decisional
System, and based on these decisions the Decisional System makes, as a second
stage, a mathematical project rejecting, as third stage, any contradictory
decision, remaining only the most rational decisions, whose probability have
the most rational expectations of success and without contradiction with any
other possible decision from any other program for any other purpose.
The
example given regarding to how particular programs for particular things, in
this case, particular airports and jets, can work and collaborate together,
making decisions to gather in a database of decisions to be checked by the
Decisional System to approve only those ones without contradiction, is a good
example equally valid for particular programs in particular beings, and among
all particular beings, the most important are particular human beings.
Particular deductive programs tailored for individual human beings may signify the beginning of a new era, potentially guiding humans through transformative experiences.
Right
now, even not using augmented reality, or any device or virtual reality, only
our smartphones we are practically cyborgs, in the sense that, even not having
implanted our mobile phone inside our body, is not necessary this detail to
become a cyborg, practically our mobile phone is an extension of our body.
Since
pretty early, even in formal education, schools and teachers teach their
students how to use technological devices, in all subjects, from the calculator
in maths to smart boards. At Christmas, lots of families buy video games and
all technological devices for their sons and daughters, getting the new generations ready for technological change.
In
this current scenario, is where the current technologies of mind reading,
emotional reading, and perception reading are now emerging, and in the near
future, these technologies will emerge with Artificial Intelligence.
This transformation might occur more rapidly than anticipated, influenced by our current deep integration with technology, which some interpret as a form of cyborg existence.
Currently, artificial intelligence, albeit in its early stages, functions as an extension of our cognitive processes through various devices.
Rubén García Pedraza, London, 30th of June of 2018
Reviewed 24 August 2019, Madrid
Reviewed 17 August 2023, Madrid
Reviewed 10 May 2025, London, Leytostone
imposiblenever@gmail.com
