The unification of all databases of categories from all Specific Artificial Intelligences for Artificial Research by Application is going to have, as a
result, the creation of the unified database of categories, which is going to
have at least two different functions:
- To
be the first stage of a database for the Unified Application, whose replication
processes later are going to be able to classify any object from the real world
according to its measurements with its corresponding category within the
database, and whose auto-replication stage consists of the addition to the
database of categories all those new categories found out, as long as the
Unified Application can find objects whose samples of measurements not correspond with any
category within the unified database of categories, so these samples of this
objects are going to be included within the unified database of categories as
new categories, to be added as well to the global matrix as factors as options.
-
To be the database where particular applications (Particular Applications for
Particular Deduction Programs within the Artificial Research by Deduction in the Global Artificial Intelligence) can choose at any time any category, from
the unified database of categories, that for any reason could be helpful to make
decisions on their particular thing or being. As long as the particular thing or
being changes (in its own structure, over time or space), the
categories to take from the unified database of categories are different. The
categories taken from the unified database of categories by the particular
application are going to be added to its particular database of categories,
which is going to be a particular liquid database of categories, owing to at the least change in its particular
thing or being, the categories within the particular database are going to
change, discarding all those factors not necessary any more, or choosing other ones
to add to the particular database of categories due to these changes.
While
the unified database of categories is constant and constantly renewed by the addition
of new categories from the Unified Application itself of any other particular
application, the particular database of categories of any particular
application is liquid, because of the changes that are going to experiment
according to the changes in its particular thing or being.
The
relation between the Unified Application and the particular applications is
like the relation between the particular programs and the Artificial Research
by Deduction in the Global Artificial Intelligence.
The
Unified Application is going to have multiple advantages for those agencies or
institutions specialised in scientific research in a wide range of sciences,
disciplines, or activities, owing to the unified database of categories, that
one in which the Unified Application works directly, is going to be like a
modern encyclopaedia: all possible knowledge from all possible category in all
possible scientific taxonomy or classification is going to be included in the
database of categories.
At the working level, the main difference between by Application and by Deduction is
the fact that while by Deduction works on a matrix whose factors have spatial
limits, by Application is mobile as any Application, the Unified or the
particulars, works on any robotic device in any place without pre-defined
spatial limits, across the space. While the first global matrix to be created
maybe is going to have very tiny spatial limits, like a nation or a continent, the process of growing up to the level to work at a planetary level, and beyond
our planet, across the universe, is going to be slowly along the process of standardization goes on. However, from the outset, if any Specific Artificial
Intelligence for Artificial Research by Application is downloaded in any
robotic device in any place, on Earth or beyond, on any other planet or
exoplanet, by Application is possible to work anywhere.
But
at the database level, the main difference between by Application and by Deduction
is the fact that while the database by Deduction is a matrix which consists of
empirical factors whose files are going to be filled through the measurements
taken by robotic devices, so in fact, it is empirical knowledge, the database of
by Application consists of a database of categories, what it is a more encyclopaedic
knowledge. A database of categories is itself a group of concepts, not
empirical factors to be measured empirically.
In
fact, until now, I have explained how a rational hypothesis by Deduction convertible
into factors as options in a matrix is convertible as well into categories in
a database of categories by Deduction. This explanation is given in those posts
about the collaboration between by Application and by Deduction, given a full
review about this matter in the post “Collaboration in the third stage between the Artificial Research by Application and the Artificial Research by Deduction”.
But
a new possibility is the possible addition of rational hypotheses made by
deduction working as factors as subjects, as they are measured by direct punctuations, being rational relations between a combination of factors to
include in a database of categories as a range of discrete categories.
A good example
of a rational hypothesis (working as a factor as a subject, and their
transformation as well into factors as options, so convertible into a range of
discrete categories in a database) is gravity or energy, or any other relation
between factors whose flow of direct punctuations could be transformed into
discrete categories.
The
existence of gravity is no other thing but a rational hypothesis based on the
mathematical relation between three different factors: the universal constant, mass
and space. Gravity is equal to the product of the universal constant multiplied
by the inverse relation between the product of the masses and the distance squared.
Energy
is another rational hypothesis based on the mathematical relation between two
factors, mass and speed of light, a relation that is expressed as the product
of the mass for the speed of light squared.
Both
rational hypotheses, gravity and energy, can be understood as factors as
subjects in order to measure the flow of direct punctuations of gravity or
energy, or another option is to transform this rational hypothesis into a set of
discrete categories.
Instead
of the measurement of gravity or energy as a continuum, once the robotic
devices measured the gravity or the energy, the possibility to classify the
measurement across different discrete categories like dividing the continuum in
which the measurements can be distributed through setting different limits, every
space between two limits is considered a discrete category, so any measurement from
any real object between the limits of any discrete category can be considered
as part of the frequency of this discrete category.
By
the creation of discrete categories in any continuum in which any factor as a subject can be measured in any matrix by Deduction, the discrete categories
could work as well as categories in a database of categories.
In
this case, the database of categories is not only able to include categories
from scientific taxonomies or classifications, or able to include factors as
options from a matrix by Deduction, because in this case, the database of
categories is able to include factors as subjects by the conversion of its
continuum into discrete categories setting limits across the continuum in which
every space between two limits is considered as a discrete category.
In
fact, the consideration of a set of categories as a set of discrete categories
is no other thing than the consideration that the range of measurements in
which real objects can be distributed across a range of discrete categories, is, in fact, a possible classification of different types of intensity in the way in
which the measurements are expressed along the continuum. So the distribution
of discrete categories in any continuum means that depending on the position of measurement in the continuum, the intensity is different,
and the consequences are different.
Any
distribution of any continuum of direct punctuations in a set of discrete categories is a classification of possible measurements. Depending on the intensity of any
measurement according to the direct punctuation, the measurement is going to be
classified in one or another discrete category.
In
fact, this idea of the consideration of discrete categories as categories within
the database of categories, has been all the time behind the idea of the
database of categories when I explained how different categories of earthquakes
according to their intensity in Richter could be set up as different categories
within the specific database of categories in tectonics.
Actually,
when I had proposed as an example the creation of a Specific Artificial
Intelligence for Artificial Research by Deduction in tectonics ( in the posts “The database in the Specific Artificial Intelligence for Artificial Research by Deduction”, and “Replication processes in the Specific Artificial Intelligence for Artificial Research by Deduction”) I suggest as
an example the incorporation as factors as options the classification of
different types of earthquakes according to discrete categories.
If Depending
on the direct punctuation in the Richter scale, every earthquake is supposed to
have different intensities, so different consequences. Classifying earthquakes into
different discrete categories according to their intensity, what it really does
is to classify different earthquakes, taking as a classification system a system
of discrete categories.
Rational
hypothesis working as factors as subjects in a matrix by Deduction, dividing into
discrete categories the continuum in which their measurements are taken, are
convertible into factors as options, being every discrete category an option,
so these discrete categories as factors as options are also convertible into
discrete categories to be included in a database of categories by Application, so
any new rational hypothesis as subject directly convertible into a set of
discrete categories as factors as options, can be transformed into discrete categories
in a database of categories.
As
long as rational hypotheses as subjects are convertible into a set of factors
as options through a system of discrete categories, to be added in a database
of categories, at the same time, the process to transform rational hypotheses as
options into categories in a database of categories goes on.
An
example of a rational hypothesis found by Deduction that can work as a factor as an option in a matrix as well as a category in a database of categories by
Application, is any new possible mathematical relation between any combination
of chemical elements or molecules in any material structure.
If by
Deduction is found any new mathematical relation between any combination of
chemical elements or molecules, this relation itself can work as a factor as an option to include within a matrix, so at any time that this relation happens is
going to be included in the corresponding file of frequency that has previously
been created in the matrix after the discovery of this new relation.
But
at the same time that this new rational mathematical relation between chemical
elements or molecules is set up as a factor as an option in a matrix, it could be set
up as a category in a database of categories, so at any time that any robotic
device working on chemistry finds this possible relation between this chemical
elements or molecules, by Application the robotic device is going to be able to
recognise this possible relation.
And
vice versa, if a robotic device working by Application on chemistry finds any
new possible combination of chemical elements or molecules that does not exist
yet in any database, this new discovery must be included in its particular
database, and the unified database, and sent to the global matrix to be set up
as a new factor as an option to work on it by Deduction.
If
a robotic device specialised in linguistic works on a language and finds a new
word in that language that does not exist yet in the database of words of that
language, the robotic device can add the discovery of this new word into its
particular database, adding the new word into the unified database of
categories, and the word is sent to the global matrix in order to be added as a
new word in order to measure its frequency.
For
instance, if a robotic device works deciphering an old language through the
writings which we have still got, and the particular database of this language consists of all the words which we already know about this language through the
remaining writings, then at any time that any new word in any new possible writing,
in this language, discovered by archaeologist, and trying to decipher the
writing the robotic device finds a new word, through the context of the text,
the robotic device should be able to deduce the meaning of this new world (through
the relations between the words that it already knows), and at the same time
the robotic device should add the new world into the particular database, the
unified database and the global matrix.
The same principle may be applied in reading our biostatistics for medical purposes.
But
in the end, if for one person different robotic devices can work on different
purposes, such as biostatistics; what is going to be more useful is the creation of particular
applications that applied on any person, so personal applications, in a very
comprehensive way, robotic devices working on the same personal program using
the same personal application can read the biostatistics. In this case, the personal application in its
own particular database of categories should incorporate from the unified
database of categories all those categories related to biostatistics, in order that the personal
application can identify at any time the thoughts, emotions, perceptions,
biostatistics of that person.
The
particular application of one person, the personal application, working within
the particular program of that person, the personal program, can provide a
comprehensive reading about the mental, emotional, and health status of any
person.
Personal
applications for personal programs could improve the life of people, providing very updated reports about the psychological and health
conditions of any person, and improving the living standards.
Coming
back to the real purpose of this post, the unified database of categories,
along with the mobility that by Application has as one of the most important advantages,
because by application is possible to carry out research even beyond the
spatial limits of any matrix, because any application can be set up in any
robotic device working in anywhere, the most important advantage of the unified
database of categories that no other database (specific or particular) has, is
the possibility to keep in the unified database of categories a very
encyclopaedic knowledge, in the sense that, any conceptual knowledge must be
included within the unified database of categories.
While
the global matrix offers knowledge based on empirical measurements, the
unified database of categories offers knowledge based on categories that, in
reality, is a conceptualisation of the real world.
Owing
to the unified database of categories is the conceptualisation of the real
world; any phenomenon that could happen in the real world should be interpreted
through the categories within the unified database of categories. And if there
is any phenomenon not yet included, it should be included, taking as a quantitative
definition of this new category the measurement already taken.
In reality, what the unified database of categories does is to read what is happening. The
unified database of categories is a source of facts.
While
the global matrix has the measurements of everything, the unified database of
categories is reading what is happening.
While
the global matrix deduces mathematically, the unified database of categories
analyses what category corresponds to every fact.
While
the global matrix sets up relations, the unified database of categories
understands what is happening.
While
the global matrix explains, the unified database of categories comprehends.
This
distinction between them is going to be really important because it is the basis
for the future integration of both of them in only one, the global matrix, and if
this process looks as if explanation will get more importance than
comprehension, what in reality is going to happen is the following: during the
integration process the unified database of categories is going to be
absolutely included in the global matrix, but is going to be the Unified
Application the responsible for the management of the entire global matrix, due
to the main ability of the Unified Application is the ability of comprehension,
something that is going to be really important in order to manage the global
matrix once the integration process is ready.
At
the same time that during the integration process, the Unified Application is
going to be responsible for the management of the global matrix, the
replication processes of the Artificial Research by Deduction in the Global
Artificial Intelligence, and the particular programs with their particular
applications, are going to keep on making deductions with the new advantage that
there will be no difference between factors as options and categories practically,
only differences between factors as subjects and factors as options due to the
way in which they are measured, by direct punctuations or frequency, is a difference
that is in the core itself of Impossible Probability.
But
this is going to correspond to the integration process. Before the integration
process, the Unified Application and the particular applications worked on
their own but had close relations with the particular programs and the
Artificial Research by Deduction in the Global Artificial Research by
Deduction.
Once
the unified database of categories within the Unified Application is finished, the way in which the Unified Application is going to work is as follows:
-
The unified database of categories must include absolutely all possible
categories from all possible synthetic science, discipline, or activity, coming
up from all possible specific matrices of any Specific Artificial Intelligence
for Artificial Research by Application, which is going to coexist with the
Unified Application at least during the coexistence period, later on, all
Specific Artificial Intelligences for Artificial Research by Application should
be absorbed by the Unified Application or transform into particular applications
for particular programs.
- The
Unified Application, as an encyclopaedia, can be downloaded in thousands and
thousands of robotic devices across the world or beyond, across the universe.
- Thousands
and thousands of robotic devices using the Unified Application should be able
to match absolutely any phenomenon across the world or the universe within the
categories in the unified database of categories.
-
In case any robotic device using the Unified Application finds a
phenomenon not included yet in the unified database of categories, collecting
the sample of measurements from the phenomenon as a quantitative definition of this new
category, the samples should be added as a new category to the unified database of categories and sent this
new category to the global matrix to work as a factor as an option.
The tracking of the unified database of categories could take some time,
especially at the beginning (when we are learning to read, our
rhythm is slow, but after some practice, the rhythm must be faster every time),
in order to increase the speed tracking the real world by the unified database
of categories, the creation of particular applications linked as well to
particular programs (Particular Applications for Particular Deduction Programs
within the Artificial Research by Deduction in the Global Artificial
Intelligence), is going to introduce a new step forward the integration
process, at the same time that is going to help the reading (the tracking) of
the real world by the unified database of application, that is going to have
the help now of these particular applications to read the real world.
Although
I have called them particular applications for particular programs, at the
beginning when the integration process is still far away, the possibility of linking particular applications and particular programs is going to be hard, but
as the standardization process goes on along the unification of the database of
categories, and the collaboration between By Application and by Deduction goes
on during these parallel processes, the reality of a close relation between
particular applications and particular programs is going to be possible.
The
structure of these first particular applications, although not being yet linked
to any particular program, is the same as any future particular application for
any particular program: for that particular thing or being in which it is
necessary to work only with a particular list of categories from the unified
database of categories, then the particular database of categories within the
particular application will be formed only with those categories from the
unified database of categories strictly necessary for that particular thing or
being.
If
a robotic device is specialised only in one language for some particular
purpose, it is unnecessary to download all the unified database of categories. Only downloading those categories related to that language should be enough.
Because
the volume of categories in the unified database of categories is going to be
massive, another solution to this problem could be the organization of the
database of categories in packages of categories, so every package of
categories corresponds to a former specific database from the former Specific
Artificial Intelligence for Artificial Research by Application, or corresponds
to particular things or beings.
The
organization of the unified database of categories in packages of
categories, like sections in an encyclopaedia differentiating sections for each
science, discipline, or activity, is
going to be really helpful as well by the time the integration process starts,
due to the integration of a unified database of categories in packages of
categories and a global matrix possibly organized in factors whose flow of
information is a flow of packages of information, including as many sub-factors
at a different level of sub-factoring as possible, is an organization in packages
of categories or factors pretty similar that could be a good help in the
integration process.
Another
advantage of the organization of the unified database of categories in packages
of categories like different sections of an encyclopaedia in different
sciences, disciplines, or activities, is the fact that at the time that any
particular application has to select from the unified database of categories a
list of categories, can select directly entirely packages of categories according
to the synthetic science, discipline, or activity, or particular thing or
being, that the particular application is going to develop.
And
for those robotic devices that work directly with the Unified Application, the
fact that the unified database of categories is organised like an
encyclopaedia, through packages of categories like sections of sciences,
disciplines, or activities, helps any robotic device to match any phenomenon
across the universe. Because depending on the corresponding subject of any
phenomenon, the robotic device can search within the corresponding package
of categories on that subject that corresponds to this phenomenon, going
directly to that section of this encyclopaedia where it is likely to find that
category more suitable to match with that phenomenon.
The
unified database of categories as the database for the Unified Application
reading (tracking) the real world through thousands of thousands of robotic
devices in which it can be downloaded, and through thousands and thousands of particular
applications reading (tracking) any fact that can happen to their particular
thing or being, is going to be like the Rosette Stone for the Global Artificial
Intelligence, due to anything that could happen in the real world could be
translated into the quantitative language that the Global Artificial
Intelligence uses, in order to understand any kind of fact, to create models,
and make decisions, that is going to reshape our comprehension about what is
really happening.
Rubén García Pedraza, 22th of April of 2018, London
Reviewed 15 August 2019 Madrid
Reviewed 15 August 2019 Madrid
Reviewed 10 August 2023 Madrid
Reviewed 4 May 2025, London, Leytostone
imposiblenever@gmail.com