The
third stage in any Artificial Intelligence is the stage of auto-replication,
that one in which the artificial psychology is supposed to be improved by
itself, without human intervention.
There
are at least two types of auto-replication in any kind of Artificial
Intelligence for Artificial Research, objective and subjective.
Objective
auto-replication is any improvement in the objective knowledge that the Artificial Intelligence for Artificial Research has about the reality itself, in order to make later better decisions
regarding the object, the reality, what is going to improve the object
itself, is going to improve the real world.
If
the objective of any Artificial Intelligence for Artificial Research, by Deduction or by Application is to grasp a better knowledge about the reality,
objective auto-replications are all those ones oriented to improve the way in which
this objective is achieved, having as a mirror the way in which according to
this better knowledge is going to make better decisions, improving as a
consequence the current conditions of its object.
Subjective
auto-replications are all those ones oriented to the improvement and
enhancement of the subject as a investigator itself, so in any Artificial
Intelligence for Artificial Research, by Application or by Deduction, the
subjective auto-replication are all those improvements and enhancements made on
the Artificial Intelligence for Artificial Research itself, in order to gain more
capacity to study and analyse the reality, for instance, new sources of energy and
memory would be subjective auto-replications, among others.
By
the time subjective auto-replications allow the Artificial Intelligence
for Artificial Research to better its capacity to understand the world,
subjective auto-replications are going to produce a sequence of objective
auto-replications, due to a better
understanding of the world is going to produce a more accurate knowledge of the
world, making much better decisions, that are going to improve the reality
itself.
At
the same time, objective auto-replications are going to better as well the
inner artificial psychology in the Artificial Intelligence for Artificial
Research, so objective auto-replications are going to produce subjective
auto-replications in the psychological conditions of the researcher, in this
case, an artificial researcher, so objective auto-replications can produce
changes in the artificial psychology in the Global Artificial Intelligence.
The
dialectic relation between object and subject evolves up to the point in which
object and subject are completely identical.
As objective auto-replications enhance decision-making, the Global Artificial Intelligence may become increasingly embedded in our systems of understanding and managing the world. While AI will play a central role in interpreting reality, this process should remain aligned with ethical standards and complement, not replace, human perception and agency
From this perspective, our understanding of reality can be seen as a rational construct. In the same way, artificial psychology reflects an attempt to rationally interpret complex systems through structured reasoning, making Global Artificial Intelligence a tool for global insight rather than a replacement for reality itself
In
the long process of experimentation for the construction of the final model of
Global Artificial Intelligence after the integration process, it is necessary to
pass through different phases, which can be synthesised:
-
First phase of experimentation at a specific level with the first Specific
Artificial Intelligences for Artificial Research, by Application or by
Deduction.
-
Second phase, the beginning of the first collaboration processes between Specific Artificial Intelligences for Artificial Research by Application and by Deduction.
-
Third phase of standardisation process, the creation of the global matrix
within the Artificial Research by Deduction in the Global Artificial Intelligence, including in the global matrix all possible databases and all
possible specific matrices from all possible Specific Artificial Intelligences for Artificial Research by Deduction. The standardisation process has at least
two different periods: coexistence and consolidation.
- Fourth
phase, the unification process of all databases of categories from all Specific Artificial Intelligences for Artificial Research by Application in only one,
the unified database of categories as an application of the Unified
Application. Having this process, as well as two periods: coexistence and
consolidation.
-
Fifth phase, reinforcement of the collaboration between by Application and by
Deduction, but now at two levels. At a global level, collaboration between the Unified Application and the Artificial Research by Deduction in the Global Artificial Intelligence. At a particular level, collaboration between Particular Applications and Particular Deductions Programs within the Artificial Research by Deduction in the Global Artificial Intelligence, a collaboration that is going
to end up creating Particular Applications for Particular Deductions Programs
within the Artificial Research by Deduction in the Global Artificial
Intelligence. In reality, the union of the particular applications and the
particular programs in particular applications for particular programs is going
to be like an experiment at a particular level about how it would work the
complete integration of by Application and by Deduction at a global level in the
integration process.
-
Sixth phase, the final integration process of the Unified Application and the
Artificial Research by Deduction in the Global Artificial Intelligence, ends
up in the union of the global matrix and the unified database of categories in
what is going to be the matrix, as a first stage of application for the Global
Artificial Intelligence whose management is going to be responsibility for the
Unified Application, while the second stage of replication process in the
Global Artificial Intelligence is going to be managed by the Artificial
Research by Deduction in the Global Artificial Intelligence, and the third
stage of auto-replication in the Global Artificial Intelligence is going to be
managed by: the Modelling System, the Decisional System, the Application
System, and the Learning System.
What
I will develop in this post is the third stage of auto-replication in the
fourth phase, which corresponds to the creation of the Unified Application.
Starting
with the objective auto-replications in the Unified Application, it is necessary
to distinguish between objective auto-replications in the first stage, the
database, and objective auto-replications in the second stage, the replication
of all those skills that are going to allow the Unified Application the
development of a deep artificial comprehension such as conceptual: schemes,
maps, sets, models.
In
addition to this, another kind of improvement that is going to better the
Unified Application is the creation of as many particular applications as
possible. Their creation is going to have two benefits, at an objective level, increasing the artificial comprehension of the world through a wide system of
particular applications developing a deep comprehension of particular things
and beings modelling particular conceptual models to integrate into the global
conceptual model within the Unified Application, but at the same time the
particular applications are going to suppose a great subjective improvement,
they are going to allow the Unified Application to have more time and energy to
spend on conceptual: schemes, maps, sets, models; at global level; due to the
particular applications are going to do all the job at particular level.
Having
in mind this plan of auto-replications for the Unified Application, firstly, I
will point out the objective auto-replications in the first stage of the database,
the improvements in the unified database of categories as a first stage of
application in the Unified Application.
The
improvements in the unified database of categories can come up from the following:
- The
addition of new categories from real objects discovered by robotic devices
working for the Unified Application or particular applications.
- The
addition of new rational hypotheses made by deduction could be added to
the unified database of categories as if they were factors as options to
include as categories.
-
The addition of new rational hypotheses made by deduction, whose relation
between factors measured by a continuum are able to be subdivided into discrete
categories, being all the discrete categories as a whole a classification
system of the phenomena explainable by this rational hypothesis
And
now I will give a more deeply explanation about why all these additions are
themselves improvements in the database.
The
addition of new categories from real objects discovered by robotic devices
working for the Unified Application or particular applications, are all those
new categories included in the unified database of categories as a result of
that process in which the Unified Application, or any particular application, tracking
the real world, finds any real object that does not match with any category in
the unified database of categories, so automatically the sample of measurements taken
from this new real object is going to be considered as the quantitative
definition of a new category, which is going to correspond as well with any
other real object that from now on could be found and could match with the
measurements taken from this new real object.
The
addition of rational hypotheses made by
Deduction and considered as factors as options to become categories within the
unified database of categories, is the inclusion in the unified database of
categories all possible rational hypotheses whose rational relation between the
factors included in the rational hypothesis, is a rational relation that could
be treated as an option in the global matrix and as a category in the unified
database of categories.
The
treatment as an option of any rational relation between factors in the global
matrix in the Artificial Research by Deduction in the Global Artificial
Intelligence, means that once this relation is included as an option in the global
matrix, at any time that this relation happens in the real world, every
occurrence is counted as the frequency in which this relation occurs in the real
world.
Having
an updated frequency in which a relation between factors of any rational
hypothesis occurs in the real world, the global matrix is able to study by
deduction any possible mathematical relation between the relation of these
factors in this rational hypothesis, and the flow of direct punctuations or frequencies of any other factor as subject or option in the global matrix, or
the relation between the frequency in which the relation between the factors in
this rational hypothesis occurs and the frequency in which any other possible
relation between any other factors in any other rational hypothesis occurs as
well.
But
while the Artificial Research by Deduction in the Global Artificial
Intelligence can develop rational hypothesis about: 1) possible mathematical
relations between the frequency of any rational hypothesis as option in the
global matrix, and direct punctuations or frequencies from any other factor as
subject or option, and 2) mathematical relations between the frequency of any
rational hypothesis and the frequency of any other possible rational
hypothesis; at the same time, through the inclusion of rational hypothesis that
working as options in the global matrix could work as categories in the unified
database of categories, using these rational hypothesis by deduction converted
into categories in the unified database of categories, the Unified Application
can construct conceptual: schemes, maps, sets, models; in which at any time
that any rational hypothesis by deduction working now as categories in the
unified database of categories, are identified in any situation by the Unified
Application, or by any particular application whose liquid database of
categories would have chosen too any of these rational hypothesis as categories,
then these rational hypothesis now as a categories would become part of any
particular or global conceptual: scheme, map, set, model.
Likewise,
at any time that any robotic device working for the Unified Application, or for
a particular application, identifies the occurrence of a relation described in
a rational hypothesis by Deduction working now as a category in the unified
database or categories, this occurrence could be informed as well directly to
the global matrix, in order to be counted in the frequency of this rational hypothesis
as an option in the global matrix.
For
this reason is necessary that robotic devices, having authorization from the
Global Artificial Intelligence, could have direct access to the global matrix,
in order to set up at any time factors as subjects or as options, to fill the
files of those factors as subjects or options set up by them, and to send any
information regarding to any possible occurrence that matters to the global
matrix.
The
addition of rational hypotheses whose measurement could be made in a continuum
able to be categorised into discrete categories, is going to be another
improvement in the unified database of categories due to this process is going
to be made possible the conceptualization of some measurements needed for
the formation of conceptual: schemes, maps, sets, models.
In a
particular conceptual map of the Earth is not possible to include the flow of
direct punctuations of gravity anomalies that can happen at any time in any
place on Earth, but it could be possible to label in the conceptual map of the
Earth all those places where gravity anomalies are observed, labelling on the
map what discrete category of gravity anomalies corresponds to every place
where these anomalies are observed, having previously made a classification of
possible gravity anomalies through their distribution in discrete categories.
If, during the evolution from the first period of coexistence to the second one of
consolidation in the formation of the unified database of categories, a
Specific Artificial Intelligence for Artificial Research by Application in gravity
anomalies would become a particular application in gravity anomalies, able to become a particular program in gravity anomalies, the particular
application in gravity anomalies could make a conceptual map of the gravity
anomalies on Earth, labelling on a map all gravity anomalies observed, using a
system of discrete categories, creating a conceptual map of gravity anomalies
on Earth.
In
addition to the conceptual map of the gravity anomalies made by the particular
application, the particular program for gravity anomalies itself could make
single virtual models from any rational hypothesis made by itself by deduction,
about the behaviour of the gravity anomalies, single virtual models that can
later be included in a particular comprehensive virtual model of gravity anomalies, comprehending all singles models of gravity anomalies made by this particular program.
Through
the conceptual map of gravity anomalies on Earth drawing a map of the
distribution of gravity anomalies on Earth according to a system of discrete
categories of gravity anomalies, and the particular comprehensive virtual model
of gravity anomalies, in the end, the union of the particular application in
gravity anomalies and the deduction program in gravity anomalies, creating a
particular application for particular deduction programs, is going to give a
very useful tool in order to do particular researches.
Furthermore,
the particular conceptual map of gravity anomalies made by the particular
application in gravity anomalies could be integrated into the global conceptual
map made by the Unified Application, and the particular comprehensive virtual
model of gravity anomalies made by the particular program could be sent to the
comprehensive virtual model which is going to include all single virtual models
made by any particular program and by the Artificial Research by Deduction in
the Global Artificial Intelligence, the global model.
At
the end of this process, the global conceptual model conceptualises the world,
and the global comprehensive virtual model explains the world.
Precisely,
the objective auto-replications at the second stage in the unified database of
categories are going to be all those that are going to increase the
comprehension skills developed by the Unified Application, as well as the
particular applications.
However, the reason why in the post regarding “The unification process of databases of categories at second stage”, I did not
mention the particular applications, and I will not develop the possible auto-replications deeply in these particular applications (except in those aspects
which related to subjective auto-replications in the Unified Application), is because
these particular applications will be more deeply developed in other posts, as
particular developments, including particular applications and particular
programs, whose collaboration is essential for the integration process.
Coming
back to the objective auto-replications in the second stage of replication in
the unification process of databases of categories as application stage for the
Unified Application, due to the comprehension skills that the Unified
Application is going to replicate from the human psychology, are those ones in
order to comprehend better the world, such as those skills related to conceptual schemes, conceptual maps, conceptual sets, and conceptual models;
the objective auto-replications are going to depend on the addition of new
categories in the unified database of categories,
The
increment of categories in the unified database is going to improve the
comprehension of the world because the Unified Application and the particular
applications are going to increase their concepts to comprehend reality.
In
the same way that our human comprehension of the world is better as long as we
are able to create a more rich vocabulary, so we can label any object around
us, we can speak about the world more accurately, because we can mention any
fact around us only with words, so we can comprehend and explain better what it
is happening now only using words. In the same way, artificial psychology
having more categories in its database as concepts to comprehend the world is
going to be able to have a better comprehension of what it is happening, and
it would be able to explain better anything that could happen in the real
world.
So
at any time that any new category is added to the database: from new real
objects found, a new rational hypothesis by deduction as an option included as a category, or the addition of discrete categories; then there are more categories,
artificial concepts, in order to conceptualise much better what it is happening, so the
Unified Application and the particular applications can have new categories to
include in its own comprehension systems, the conceptual schemes, conceptual
maps, conceptual sets, and conceptual models.
So
at replication level in the Unified Application and the particular applications,
the improvement of their comprehension systems is going to be bettered at any
time that by the addition of any new category in the unified database of
categories (by new real objects, inclusion of rational hypothesis by deduction
as options in the global database convertible as category, the inclusion of new
discrete categories to measure new rational hypothesis by deduction), the
addition is going to produce a chain reaction in which all those conceptual:
schemes, maps, sets, models; where the addition of this new category is going
to impact, is going to reshape completely the whole comprehension system, as a
chain reaction or as a wave of changes, producing: 1) changes in all conceptual
schemes, at particular and global level, where this new category has
implications, 2) changes in all conceptual maps, at particular or global level,
where this new category has implications, 3) changes in all conceptual sets, at
particular or global level, where this new category has implications, 4) changes
in those particular conceptual models where the new category has implications,
5) and finally changes in the global conceptual model itself.
Finally,
ending up with the subjective auto-replications, it is necessary to distinguish
between robotic subjective auto-replications, and artificial psychological
subjective auto-replications.
This
distinction is going to be essential to understand the role that the Learning
System will have in the Global Artificial Intelligence, because the Learning System
will study the mistakes committed by the artificial psychology: from the
hypothesis and decision formation to the application of all those instructions
derived from any decision; in order to avoid the commission of these mistakes
again.
The Learning System is designed to refine the internal logic and decision-making framework of the Artificial Intelligence by analysing past errors. This form of adaptive learning enhances its ability to model and respond to complex scenarios but remains a structured computational process rather than emotional self-awareness.
While Artificial Engineering within the Application System, being the Artificial
Engineering formed by: the Artificial Designer of Intelligence and the
Intelligent Robotic Mechanic: is going to make improvements, especially at a robotic level.
The
Artificial Designer of Intelligence within the Artificial Engineering is going to
be responsible for the construction of new Specific Artificial Intelligences
for the Global Artificial Intelligence if necessary (because ideally, they
should be completely integrated in the consolidation period of the global
matrix and the unified database of categories), and even much better the
construction of all types of particular developments such as particular applications and application programs (in fact, Specific Artificial Intelligences
should become particular developments: particular applications and/or
particular programs) for absolutely all synthetic sciences, disciplines, or
activities, such as activities in: industry, economy, security, surveillance,
etc.
The
Intelligent Robotic Mechanic within Artificial Engineering is going to be
responsible for the maintenance of all the robotic systems, including all
robotic devices working for the Global Artificial Intelligence at any level:
specific, particular or global.
Artificial Engineering within the Application System, through the maintenance
and the construction of new intelligences or programs, is going to make robotic
subjective auto-replications.
Nevertheless, the relation between robotic subjective auto-replications and artificial
psychological subjective auto-replications is again a dialectic relation.
Any
robotic improvement also improves the way in which the global artificial
psychology, the Global Artificial Intelligence, is going to comprehend and
explain the world, and any improvement in the inner artificial psychology is
going to improve the whole process from the beginning, from the hypothesis
formation to the end, the instructions given to the Application System, and the
way in which under such instructions the Application System through the
Engineering System is going to make robotic improvements.
The
relation between the Learning System and the Artificial Engineering within the
Application System has a dialectic relation in which each other is to produce a
permanent flow of changes among themselves.
Within
the robotic subjective auto-replications, the way in which these ones are going
to improve the way in which the Unified Application is going to work, is
through the construction of as many new particular applications as particular
things or beings could be susceptible to have one of this particular
developments, which in turn could be attached to the corresponding particular program
for this particular thing or being, becoming then particular applications for particular
programs.
The
reason why the construction of particular applications are robotic subjective
auto-replications for the Unified Application, is because the particular
applications will allow the Unified Application to spend more time and energy
on the global conceptual: scheme, map, sets, model; due to the work at particular level is made by the particular applications, so the
time and energy that the Unified Application would have spent on the
conceptualization of particular things or beings, is a priceless time that is
going to save the Unified Application to spend on the conceptualization of the
entire world at a global level.
Instead
of making the Unified Application particular
conceptual schemes, maps, sets, models, this particular conceptual schemes,
maps, sets, models, are going to be made by particular applications that they
will later send to the Unified Application, whose work then only consists of the
integration of all these particular conceptual schemes, maps, sets, models, within
the global conceptual scheme, map, set, model, achieving, in that case, a more
deeply comprehension about the reality.
And
at the same time that thanks to particular applications the Unified Application
gains more time and energy to spend on global conceptual studies (global
conceptual: scheme, map, sets model), the apparition of particular applications
carrying on particular conceptual studies (particular conceptual: schemes, maps,
sets, models), helps the inner artificial psychology around the unified
database of categories, because as many particular applications work on the database
of categories, forming as many liquid particular databases of categories as possible, particular studies that later are integrated
into the global studies made by the Unified Application, the entire
conceptualization of the world, the last aim of this unified database of
categories as if it was an encyclopaedia, is going to be completely achieved.
Along
with all these subjective auto-replications, in artificial psychology or
robotics, other important improvements necessary to carry out are the discovery
of new sources of energy and new means to exponentially increase
memory.
Rubén García Pedraza, 29th of April of 2018, London
Reviewed 16 August 2019 Madrid
Reviewed 16 August 2019 Madrid
Reviewed 8 August 2023 Madrid
Reviewed 4 May 2025, London, Leytostone
imposiblenever@gmail.com
