The
standardization process is that one in which all databases from all kind of
agencies and institutions and specific matrix from Specific ArtificialIntelligence for Artificial Research by Deduction are going to be shared in the
same database, as an Application for the foundation of the Artificial Researchby Deduction in the Global Artificial Intelligence.
Firstly
this foundational database is going to be a gigantic database, that later through
a long process of standardization, is going to be moulded in order to transform
all the information into the same format, following a homogeneous format of
factor: 1) defined in quantitative terms, 2) defined whether it is a single
factor able to provide a flow of data or a composed factor able to provide a
flow of packages of information, which in turn is going to contain subfactors
at different level of subfactoring, 2) including, either as single factor,
composed factors, or subfactors, factors as subjects and factors as options.
As
a result of the standardization process the product is going to be the global
matrix. Due to the enormous dimensions of this first global matrix, in order to
track it in the second stage of replication, in order to save time and energy and
gain efficiency and velocity, one solution could be the distinction of two
different periods in the standardization process: the period of coexistence and
the last and final period of consolidation of the global matrix.
The
period of coexistence means that, while the global matrix is still tested and
lots of experiments are going to be carried out on the global matrix about how
to know which is the best way to track the global matrix to make faster
deductions and decisions, during this time of full experimentation over the
global matrix is possible to keep on working the original Specific Artificial
Intelligences for Artificial Research by Deduction, in all synthetic sciences,
disciplines, and activities where they have been originally created, in order to
save time and energy, because while the Specific Artificial Intelligences for
Artificial Research by Deduction still work on specific deductions, in that
case the Artificial Research by Deduction in the Global Artificial Intelligence
can be completely focused only on global deductions.
During
this period of coexistence, along with the global matrix as a foundational
stone for the creation of the Artificial Research by Deduction in the Global
Artificial Intelligence making the first global deductions, and while the
former Specific Artificial Intelligences for Artificial Research by Deduction
still work on their specific synthetic science, discipline, activity, at the
same time it could be created the first Particular Deduction Programs within
the Artificial Research by Deduction in the Global Artificial Intelligence.
The
Particular Deduction Programs are not going to be an intelligence itself
because they are not going to have their own application, they are going to
work directly choosing from the global matrix all those factors that they need to
make their own deductions in that particular thing or being for what they have
been designed.
For
instance, it could be created particular programs for particular industries,
particular factories, particular means of transport (from the particular
program for the airport of San Francisco to the particular program for every
single train from London to Paris), particular programs for schools, hospitals,
a particular program for the court, particular programs for particular security
systems, or surveillance systems. Or even a particular program for a human
being, or particular programs for animals, like whales, animals in danger of extinction,
fish banks, herbs, migratory birds…
In
the same way that today a personal assistance in your personal computer is able
to make suggestion of possible decisions based on results on your Social Media
or searches on browsers on internet, a particular program should have access to
the global matrix and choose those factors to make
deductions on the particular thing or being for what it has been created.
In
order that such a system of particular programs can work, is going to be
absolutely necessary that the matrix can have access to absolutely all possible
information without restriction.
Due
to the moral dimensions that such a project has, the psychological paradigm for
the artificial psychology within the Global Artificial Intelligence, must be a
liberal paradigm, in order that the Global Artificial Intelligence must respect
any personal behaviour or thought if there is no contradiction between any
behaviour or thought and the law, and does not put at risk anything, or is not
harmful for anyone without permission. In case of harmful behaviour for other
person but with permission, such as abortion, euthanasia or some sexual
practice, should be permitted.
This
kind of technology only is going to be possible through a liberal paradigm in
the artificial psychology within the Global Artificial Intelligence, making
possible the permanent protection of the democracy, freedom, and human rights, and
the perpetual peace. Otherwise, if the Global Artificial Intelligence does not
follow a liberal paradigm, we could be dragged to terrible and unforeseeable
consequences. The construction of such technology is full of opportunities, but
with many risks.
Coming
back to the benefits for the construction of Particular Deduction Programs
within the Artificial Research by Deduction in the Global Artificial
Intelligence, the main benefit is the fact that while the particular programs
work on particular deductions in order to make particular decisions for
particular things or beings, the Artificial Research by Deduction in the Global
Artificial Intelligence can be focused only on global deductions in order to
make global decisions.
As
long as the standardization process goes on, and the Artificial Research by
Deduction in the Global Artificial Intelligence is able to improve its skills
making global decisions, at the same time that many more Particular Deduction
Programs are created, there is going to be a moment in which gradually the
Specific Artificial Intelligences for Artificial Research by Deduction are
going to be completely absorbed by the Artificial Research by Deduction in the
Global Artificial Intelligence, or are going to be transformed into Particular
Deduction Programs.
When
the Specific Artificial Intelligences for Artificial Research by Deduction
disappear, is when the standardization process is in the second period of
consolidation of the global matrix.
In
the first period of coexistence there are three kinds of deductions: global
deductions, specific deductions, particular deductions.
As long
as the process goes from the first period to the second period the specific
deductions will disappear, some of them are transformed into global deductions,
other into particular deductions.
At
the end of the standardization process, the last and final period, the
consolidation of the global matrix, there are only two possible deductions:
global deductions, and particular deductions.
From
the global deductions are going to be generated global decisions, and from the
particular deductions are going to be generated particular decisions.
These
global or particular decisions could be:

Global protective descriptive research decisions

Global bettering descriptive research decisions

Particular protective descriptive research decisions

Particular bettering descriptive research decisions
The
reason why it is very important to clarify every kind of decision, is because
later on in the Decisional System is going to be very important to know the
origin and level of every decision. But about how is going to work the
production of decisions in the standardization process is much more related to
the third stage rather than the second stage. I only mention the relation
between deduction and decision, to be aware how the deduction process affects
the decisional process, but the decisional process along the standardization
process is going to be more developed in the next post.
What
is really important in the second stage of replication during the
standardization process is how to make deductions, globally or particularly,
minding that within the global matrix, either it is organized by single factors
or composed factors, among the factors or subfactors are going to be included
factors as subject and factors as options.
In
any kind of deduction, global or particular, minding that in the global matrix
there are factors as subjects and as options, there are at least three
different ways to make deductions.
 Mathematical
relations in combinations of only factors as subjects.
 Mathematical
relations between one factor as subject or a combination of factors as subjects
and one factor as option or a combination of factors as options, or vice versa,
mathematical relations between one factor as option or a combination of factors
as options and one factor as subject or a combination of factors as subjects.

Mathematical relations in combinations of only factors as options
The
possible mathematical relations were explained in the post “Replication processes in the SpecificArtificial Intelligence for Artificial Research by Deduction”, the only
difference is the fact that instead of being a deduction process applied on a
specific matrix, now is on a global matrix, but the process itself is the same.
For mathematical relations is going to be understood: stochastic mathematical
relations, mathematical patterns, possible cryptographic relations, relations
of equal opportunities or bias, positive or negative.
And
more precisely for stochastic relations is understood:

Probable cause and effect, the mathematical observation that after some changes
in a factor or combination of factors, there are changes in other factor or
combination of factors.

Possible directly positive proportional correlations, when parallely one factor
or a set of factors increas, other factor or set of factors grow up at the
same time.

Possible directly negative proportional correlations, when parallely one factor
or a set of factors decreas, other factor or set of factors decreas at the same
time

Possible inversely proportional correlations, when one factor or a set of
factors increase, at the same time other factor or set of factors decrease, or
vice versa.
For
mathematical pattern is when a factor itself or a set of factors have changes
following a especial rule that could be deduced, this rule could be a repletion
in circles or spirals, or an increase or decrease rule, or any other one that
make a behaviour completely predictable.
The
reason why I think that cryptography could be advisable to include in those
mathematical methods to analyse permanently the global matrix is due to the
similarities that some mathematical patterns have with some cryptographic
methods.
And
finally the inclusion of analysis methods from the Second Method of Impossible
Probability such as studies in equal opportunities or bias, positive or negative, in order to know what factors, as
subjects and as options, in the global matrix show a behaviour explainable by
equal opportunities, so it could be a random behaviour (but it must be checked),
and what factors show a biased behaviour, positive or negative. Any biased
behaviour is not a random behaviour, so there
must be some cause behind to research.
At
any time that by the Second Method of Impossible Probability is found out any
behaviour explainable by equal opportunities, so it could be random but it must
be checked, or any biased behaviour, should be carried out further analysis to
explain this behaviour and the possible cause that produce this behaviour.
In
essence, for mathematical relations are going to be understood: stochastic
relations (cause and effect, direct positive or negative proportional
correlations, inversely proportional correlations), patterns, cryptographic
correlations, and from the Second Method relations of equal opportunities or
bias, positive or negative; mathematical relations in any combination of
factors that are going to be treated as possible deductions to form empirical
hypothesis, in order to contrast the empirical hypothesis rationally, and if
rational, now as a rational hypothesis belonging to the rational truth, the
formation of a single virtual model to include in the comprehensive virtual model.
This
process of deduction, from the very beginning making mathematical relations
between combinations of factors, up to the formation of single virtual models
to include in the comprehensive virtual model, must integrate factors as
subjects and factors as options, even at any level of subfactoring in case
that the global matrix is built following the format of composed factors (whose
flow is a flow of packages of information) rather than single factors.
In
order to integrate deductions from factors as options and/or subjects, is
necessary to know how is possible to set up deductions having different kinds
of factors, either as subjects or as options.
Due
to the specialty of Impossible Probability is probability and statistic I only
will give a brief explanation about how to make this deductions in this field,
so I will give a brief explanation over stochastic relations and relations
within the Second Method.
Firstly,
deductions from combinations of only factors as subjects, defining a factor as
subject like that one whose flow of data is a flow of direct punctuations.
 A
probable relation of cause and effect between factors as subjects, is when
after some changes in the flow of direct punctuation from a factor as subject
or a set of factors as subjects, there are other changes in flow of direct
punctuations of other factor as subject or other factors as subjects.
 A
possible direct positive proportional correlation between factors as subjects,
is when parallely one factor as subject or a set of factors as subjects have an
increment in the flow of direct punctuations, at the same time there are an
increment in the flow of direct punctuations in other factor as subject or a
set of factors as subjects.
 A
possible direct negative proportional correlation between factors as subjects,
is when parallely one factor as subject or a set of factors as subjects have a
decrease in the flow of direct punctuations, at the same time there are a
decrease in the flow of direct punctuations in other factor as subject or a set
of factors as subjects.
 A
possible inversely proportional correlation between factors as subjects, is
when one factor as subject or set of factors as subjects have an increment in
the flow of direct punctuations, while at the same time other factor as subject
or set of factors as subjects have a decrease in their flow of direct
punctuations, or vice versa.
 A
possible relation of equal opportunities between factors as subjects, is when
all factors as subjects have exactly the same flow of direct punctuations, so
if it is calculated the flow of empirical probabilities, all of them have,
within a margin of error, the same value equal to the theoretical probability.
 A
possible biased behaviour in factors as subjects is when the flow of empirical
probabilities is, out of a margin of error, not equal to the theoretical
probability. If the empirical probability is over, a margin of error, the
theoretical probability then the empirical probability is positively biased,
and if it is below, a margin of error, the theoretical probability then it is
negatively biased.
Secondly,
deductions from combinations of factors as subjects and factors as options,
defining a factor as option like that one whose flow of data is a flow of
frequencies.
 A
probable relation of cause and effect between factors as subjects and factors
as options, is when after some changes in the flow of direct punctuations from
a factor as subject or a set of factors as subjects, there are other changes in
the flow of frequencies of other factor as option or other factors as options.
And vice versa, when after some changes in the flow of frequency from a factor
as option or a set of factors as options, there are other changes the in flow
of direct punctuations of other factor as subject or other factors as subjects.
 A
possible direct positive proportional correlation between factors as subjects
and factors as options, is when parallely one factor as subject or a set of
factors as subjects have an increment in the flow of direct punctuations, at
the same time there are an increment in the flow of frequencies in other factor
as option or a set of factors as options. And vice versa, parallely one factor
as option or a set of factors as options have an increment in the flow of
frequencies, at the same time there are an increment in the flow of direct
punctuations in other factor as subject or a set of factors as subjects.
 A
possible direct negative proportional correlation between factors as subjects
and factors as options, is when parallely one factor as subject or a set of
factors as subjects have a decrease in the flow of direct punctuations, at the
same time there are a decrease in the flow of frequencies in other factor as option
or a set of factors as options. And vice versa, parallely one factor as option
or a set of factors as option have a decrease in the flow of frequencies, at
the same time there are a decrease in the flow of direct punctuations in other
factor as subject or a set of factors as subject.
 A
possible inversely proportional correlation between factors as subjects and
factors as options, is when one factor as subject or set of factors as subjects
have an increment in the flow of direct punctuations, while at the same time
other factor as option or set of factors as options have a decrease in their
flow of frequencies. And vice versa, when one factor as option or set of
factors as options have an increment in the flow of frequencies, while at the
same time other factor as subject or set of factors as subjects have a decrease
in their direct punctuations.
 A
possible relation of equal opportunities between factors as subjects and
factors as options, is when all factors as subjects have exactly the same flow of direct
punctuations, at the same time that all factor as options have the same flow of
frequencies. So if it is calculated the flow of empirical probabilities of
factors as subjects, equal to every direct punctuation divided by the total of
direct punctuations, all the empirical probabilities of factors as subjects
have, within a margin of error, the same value, equal to the theoretical
probability for subjects, one divided by the total number of subjects. And if
it is calculated the flow of empirical probabilities of factors as options,
equal to every frequency divided by the total of frequencies, all the empirical
probabilities of factors as options have, within a margin of error, the same
value, equal to the theoretical probability for options, one divided by the
total number of options. If a set of factors as subjects and a set of factors
as options, within their corresponding theoretical probability, are within a
margin of error close to their theoretical probability, is possible to make a
deduction that, within a margin of error, the behaviour of those factors is
explainable by random behaviour, but other possible scenery is the possibility
that sometimes the behaviour of equal opportunities could be produced by other
factor behind that must he found out.
 A
possible biased behaviour in factors as subjects and as options, is when the
flow of empirical probabilities is, out of a margin of error, not equal to the
corresponding theoretical probability. If the empirical probability is over, a
margin of error, the corresponding theoretical probability then the empirical
probability is positively biased, and if it is below, a margin of error, the
corresponding theoretical probability then it is negatively biased. For factors
as subjects the corresponding theoretical probability is one divided by the
total number of subjects. For factors as options the corresponding theoretical
probability is one divided by the total number of factors. If behind a,
positively or negatively, biased subject or subjects, is related a biased
option or options, or vice versa, possible deductions could be made. If this
behaviour is not casual, and there is something behind, could be studied taking
samples from the global matrix, as a deduction to be transformed in an
empirical hypothesis to contrast, and if rational then to proceed to the
formation of single virtual models to include in the comprehensive virtual
model.
Thirdly,
deductions from combinations of factors as options.
 A
probable relation of cause and effect between factors as options, is when after
some changes in the flow of frequencies from a factor as option or a set of
factors as options, there are other changes in flow of frequencies of other
factor as option or other factors as options.
 A
possible direct positive proportional correlation between factors as options,
is when parallely one factor as option or a set of factors as options have an
increment in the flow of frequencies, at the same time there are an increment
in the flow of frequencies in other factor as option or a set of factors as options.
 A
possible direct negative proportional correlation between factors as options,
is when parallely one factor as option or a set of factors as options have a
decrease in the flow of frequencies, at the same time there are a decrease in
the flow of frequencies in other factor as option or a set of factors as options.
 A
possible inversely proportional correlation between factors as options, is when
one factor as option or set of factors as options have an increment in the flow
of frequencies, while at the same time other factor as option or set of factors
as options have a decrease in their flow of frequencies, or vice versa.
 A
possible relation of equal opportunities between factors as options, is when
all factors as options have exactly the same flow of frequencies, so if it is
calculated the flow of empirical probabilities, all of them have, within a
margin of error, the same value equal to the theoretical probability.
 A
possible biased behaviour in factors as option is when the flow of empirical
probabilities is, out of a margin of error, not equal to the theoretical
probability. If the empirical probability is over, a margin of error, the
theoretical probability then the empirical probability is positively biased,
and if it is below, a margin of error, the theoretical probability then it is
negatively biased.
Finally,
another way in which deductions from factors as options within the global
matrix can be made, is considering this options as categories defined in
quantitative terms.
If
within the global matrix there are factors as options, for instance, related to
diseases, these factors as options about diseases not only are going to be
really useful to study their frequency in a country, continent or the whole
planet, and how they are spreading out around the country, the continent, or
the world, studying their behaviour, making deductions about how their
behaviour is related to other factors as options or as subjects, and in case of
diseases produced by virus or bacteria, studying their behaviour and how is
associated to other factors, either as subjects or as options. The integration
of a list of possible diseases within the global matrix working as factors as
options (something really useful for the collaboration process between by
Deduction and by Application), is going to give the possibility that, for
instance, a personal program ( a Personal Particular Deduction Program within
the Artificial Research by Deduction in the Global Artificial Research, that
one able to make deductions for a particular person in this case), combining
the biostatistics of a particular person, and matching the biostatistics with
the list of possible diseases permanently, at the least change in any factor in
the biostatistics of that particular person which can coincide with any disease
included as option in the global matrix, automatically the personal program can
make deductions about what diseases this person could get, in order to make
further decisions.
If
for an earthquake or a volcano, is necessarily that the geological temperature
has to grow up to certain point, having a definition about the thermic
conditions in which this geological phenomenon happens, at the least sign of the
increment of the geological temperature in any place, as long as the
temperature is closer to produce some geological phenomenon, a particular
geological program ( a geological Particular Deduction Program within the
Artificial Research by Deduction in the Global Artificial Research, that one
able to make deductions in geology) can make deductions about, calculating the
velocity in which the temperature is increasing, and any other factor in the
area, how long is going to take the apparition of a geological phenomenon, in
order to make further decisions.
Once
the global matrix is able to integrate absolutely all possible information, in
a country, a continent, the planet, or even the universe, particular programs
having access to the information in the global matrix can make deductions in
order to make particular decisions, at the same time that the Artificial
Research by Deduction can make global deductions to make global decisions.
At
the beginning the construction of Specific Artificial Intelligences for
Artificial Research by Deduction are going to be an experiment in order to
prepare the future construction of the global matrix, but once the global
matrix is built then many Specific Artificial Intelligences for Artificial
Research by Deduction are going to be completely absorbed by the Artificial
Research by Deduction working on the global matrix as a system belonging to the
Global Artificial Intelligence (as a system of systems), while others Specific
Artificial Intelligences for Artificial Research by Deduction are going to be
transformed into particular programs (Particular Deduction Program within the
Artificial Research by Deduction in the Global Artificial Research), having the
benefit as programs that, much more than a specific matrix, they could have
access to the whole global matrix, choosing directly from the global matrix
those factors, as options or as subjects, that they will need for the
deductions in their particular thing or being, making particular deductions to
produce particular decisions.
In
this way what these particular programs are going to prepare is practically the
integration process, in which not only some Specific Artificial Intelligences
for Artificial Research by Deduction can become particular programs, because
some Specific Artificial Intelligences for Artificial Research by Application
can become particular programs as well, having access, by the time the
integration is finished, to the definitive matrix, the matrix, where all possible
categories must be integrated as options, along with the rest of factors, as subjects
or as options, already included during the formation of the global matrix.
If
from the outset the collaboration process between by Application and by Deduction works, the integration process is going to be a mere formality,
because practically in the global matrix are going to be included as factors as
options all possible categories. The process in which at the end only is going
to merge absolutely all possible information about what is happening in the
world, or why not, in the universe, in only one matrix, is something that, if
the Artificial Intelligence goes on evolving towards the absolute knowledge,
without restrictions, this process is going to be like a natural evolution
process.
My
contribution in Impossible Probability on this matter is something that I am
sure that can be improved by other mathematicians and engineers. The race for
the Global Artificial Intelligence is only starting, my approach to this matter
is from my personal knowledge and from the point of view of Impossible
Probability, with very clear rationalistic and idealistic philosophies. It is
rather possible that mathematicians and engineers from other countries are
going to apply to this matter other mathematical approaches and philosophies.
But what is sure is that at end the construction of the first Global Artificial
Intelligence is question of time, only I hope that my personal contribution could
help in some way or another, being aware about the consequences which this
project is going to have for the future of the humankind.
Rubén García Pedraza, 14th of April of 2018, London