The unification process of databases of categories at third stage

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 8 August 2023 Madrid

Reviewed 4 May 2025, London, Leytostone

imposiblenever@gmail.com

The unification process of databases of categories at second stage

The second stage in any Artificial Intelligence is the stage of replication, whose object is the replication of all those human rational skills, to perform all those intellectual activities, such as scientific research, that any human being does using the same rational skills.

In the case of the unification process of databases of categories, as a result, in the first stage, the stage of application, the database, the creation of the unified database of categories produces the first application for the Unified Application.

The Unified Application, as the application in the first stage, is a database product of the union of all possible specific databases of categories from all the existing Specific Artificial Intelligences for Artificial Research by Application.

For that reason, as the unification of all categories from all synthetic sciences, disciplines, and activities, in only one database, the structure of the unified database of categories is an encyclopaedic structure, in the sense that in only one database of categories are going to be gathered categories from all synthetic sciences, disciplines, and activities.

The categories within the unified database can be: 1) categories formed by the quantitative definition of all the categories in previous scientific classifications or taxonomies in every synthetic science, discipline or activity, already included in the unified database, 2) categories as options coming up from the transformation into categories all those rational hypothesis made by Deduction which can work as factors as options within the global matrix, so as categories in the unified database, 3) any new category not included yet in the unified database of categories, but being found  and not matching with the current ones, is included as objective auto-replication in the database of categories, 4) categories as discrete categories coming up from all those rational hypothesis by deduction whose relation between factors is measured in a continuum able to be subdivided so every division is a discrete category, so all the discrete categories as a whole formed a classification of possible events with different intensity.

The categories are, therefore, qualitative concepts: whose qualities have been already defined in quantitative terms using previous classifications or taxonomies, or were integrated as objective auto-replications; or categories coming from rational hypothesis by Deduction: some of them as a set of discrete categories, and the others as rational hypothesis transformed into options.

Another characteristic of every category within the database of categories, linked to the collaboration process between By Application and by Deduction, is the possibility that any robotic device working for the Unified Application, could set up categories as factors as options or as subjects in the global matrix, so the same robotic device working for the Unified Application, should have access to the global matrix to set up as many factors as options or subjects as it could be able to provide a permanent flow of data.

For instance, a system of robotic devices working in all mines across the United Kingdom that have downloaded the Unified Application, at the same time, works for the global matrix of the United Kingdom, sending a permanent flow of information about how many minerals have been extracted, or even a permanent flow of data of temperature under and above the surface, or the frequency of possible tectonic phenomena.

But what at the second stage in the Unified Application is going to be essential is the way in which the Unified Application is going to comprehend reality.

The Unified Application, like a gigantic encyclopaedia, has a very comprehensive conceptual knowledge integrating all possible qualitative concepts transformed into quantitative factors, as well as all possible classifications of any phenomenon in which the scale of measurement is transformed into discrete categories.

Having a unified database of categories so comprehensive that it integrates all possible concepts constructed scientifically, the Unified Application works as a gigantic encyclopaedia and could be organized as a collection of packages of categories like an encyclopaedia is organised by sections corresponding every section to every synthetic science, discipline, activity, so every package of categories in the Unified Application can correspond to every synthetic science, discipline, or activity.

For instance, the package of categories related to medicine can include, in turn, sub-packages of categories related to every discipline within medicine as the main science, such as sub-packages of categories related to anatomy, biochemistry, biostatistics, cytology, embryology, endocrinology, epidemiology, genetics, etc. Every sub-package, in turn, can have its corresponding sub-sub-packages of categories. For instance, the package related to genetics could have sub-sub-packages of categories related to mitosis, meiosis, chromosomes, DNA, RNA, protein synthesis, etc. Sub-Sub-packages of information which in turn can have sub-sub-sub-packages of categories, such as in DNA related to chemical components involved in DNA, possible alterations in a DNA sequence, possible damages of DNA sequence by bacteria or viruses, etc.

Another example, is the package of categories related to linguistics could include sub-packages of information related to every possible language along History, from languages such as ancient Egyptian, ancient Greek, Latin, ancient Chinese, or Jewish, to all modern languages from English, to Spanish, French or German, to Russian, modern Chinese, Japanese, Hindi, Pakistani, or Arab etc. and for every sub-package for every language the inclusion of sub-sub-packages of information of every dialect in every possible language. Including every language categories related to written language (for the automatic comprehension of any text in any language), spoken language (for the automatic comprehension of any conversation in any language), and mind reading (for the automatic comprehension of any thought in any language).

The organisation of the Unified Application in packages of information, including as many sub-packages at different levels of sub-packing as necessary, not only imitates the organisation of an encyclopaedia, but it is also compatible with the possible organisation of the global matrix in packages of information.

The organisation of information in packages in the global matrix and packages of categories in the Unified Application can facilitate the collaboration between the Unified Application and the Artificial Research by Deduction in the Global Artificial Intelligence, and future integration of both of them, in only one, the matrix.

But the most important is the fact that the Unified Application as an encyclopaedia is a reader, in the sense that through any robotic device in which the Unified Application has been installed, the Unified Application could interpret any possible information from the real world, information coming up through the artificial sensors in the robotic device, matching the information with the categories, so at any time that any measurement or samples of measurements from any object registered by its artificial sensors, is a measurement or sample of measurements that is going to or are going to be matched with the respective category in the Unified Database, automatically the Unified Application can assign to this object the corresponding category.

If at any time, using the Unified Application, a robotic device is able to assign to every object the corresponding category, this kind of tracking of the real world what is going to be in reality is a reading, due to every robotic device could comprehend the real world through the conceptual knowledge provided by the Unified Application.

For that reason, in the previous post, “The unification process of databases of categories at first stage”, I set down that the main differences between the Unified Application and Artificial Research by Deduction in the Global Artificial Intelligence are the following:

- The global matrix is fixed in permanent factors fixed spatially, providing a permanent flow of information related to its factors wherever they are fixed, while the Unified Application is mobile, not having a priori spatial limits, and can work wherever any robotic device, in which the Unified Application has been downloaded, is tracking the reality.

- The global matrix provides factual knowledge based on the flow of information, and the Unified Application provides conceptual knowledge based on the matching system in which any object should have a corresponding category in the unified database to be matched and recognised.

- Artificial Research by Deduction in the Global Artificial Intelligence, tracking the matrix, finds mathematical relations in a combination of factors to explain what is happening, while the Unified Application through the recognition of what category corresponds to every object in the real world what it does is to comprehend the reality.

- The knowledge in the global matrix is factual, and the knowledge in the Unified Application is conceptual.

Due to these differences between Artificial Research by Deduction in the Global Artificial Intelligence, whose main purpose is to explain, and Unified Application, whose main purpose is to comprehend, the Unified Application, as a comprehension system, is a reader.

The way in which the Unified Application is going to read the reality is through the assignment of the corresponding categories to every single phenomenon, and in case there is a phenomenon that is not possible to match with any previous category, then the samples of measurements of this phenomenon are going to be incorporated as a quantitative definition of this new category, including the new category in the corresponding package or sub-package within the Unified Application.

But at the same that is reading the world, in order to have the Unified Application a holistic comprehension of what it is reading, it is necessary to replicate in the Unified Application all the rational skills that any human being develop at any time that is reading a magazine, a book, or a blog on the internet, and the rational skills that in comprehension text that we humans normally put into practice every time that we read, are rational skills related to: the formation of conceptual schemes or conceptual maps, and the formation of conceptual sets, and conceptual models. Any rational skill that we humans apply when we read in order to get a better comprehension is a rational skill that should be developed in the Unified Application.

When we humans read, the rational skills that we put into practice are: 1) conceptual scheme, organizing the information in schemes formed by categories or concepts in hierarchical order, 2) conceptual maps, for instance, when we read a book of History mentally we imagine on a mental map every place where the events happened, when we look at a picture, a photograph, or we watch a movie,  mentally we form a map of the space recognising every single object in the space that the picture or photograph, or scenes in the movie, represents, 3) conceptual sets, when we read the news, a book or watch a movie automatically we make settings about what is happening (a battle, a scandal, a summit, an election, a crime, a fraud, a wedding, a birth…), the social relations among the characters (who is friend of, enemy of, who is the ally of, robber, the spy, the hero, who is member of the gang, the union, the party, the family, son or daughter of, brother or sister of, husband or wife of), settings about the space where the story takes place (the story happens in this small village, town, or city, in this province or shire, in this country, kingdom or republic, in this continent, planet, galaxy, universe…), settings about the plot of the story (it is a comedy, drama, thriller, adventure…), 4) Finally a conceptual model, where all the categories formed by conceptual schemes, conceptual maps, conceptual settings, can be integrated in a conceptual comprehensive model: the action take place in, the characters are, their relations are, the conflict is, the result is.

All the rational skills that we humans use as comprehension skills, such as the formation of conceptual schemes, conceptual maps, conceptual settings, and as a final synthesis the conceptual model, are the rational skills that must be replicated in the Unified Application, as a second stage of replication in the Unified Application, once the first stage of application is finished having therefore a very comprehensive unified database of categories organized as if it was an encyclopaedia, including absolutely all possible conceptual knowledge.

Ultimately, the Unified Application aims to become a highly advanced system of artificial comprehension, supporting global decision-making processes. Its role in managing the global matrix would stem from its ability to synthesise conceptual insights across a wide spectrum of phenomena. This position is not one of control, but of analytical support, enabling more informed and nuanced collaborations between automated systems and human oversight.   For this reason in the integration process the Unified Application should be the responsible for the management of the matrix as a final application, first stage, for the final model of Global Artificial Intelligence, as a result of the union of the global matrix and the unified database of categories, due to the artificial comprehension will give to the Unified Application a  perspective to set up all the necessary factors, from any robotic device, to increase its comprehension skills, factors in the matrix whose possible mathematical relations are going to be analysed  by the Artificial Research by Deduction as a second stage of replication in the final model of Global Artificial Intelligence, mathematical relations that if they are rational hypothesis, are going to be sent to the database of rational hypothesis, in order to choose those ones that are going to be included in the matrix as factors as options, or factors as discrete categories, being at the same time this database of rational hypothesis the application for the Modelling System, as first step in the third stage of auto-replication in the last model of Global Artificial Intelligence after the integration process, in order to generate: single virtual models, to include in the global model, and the production of all Virtual or Actual, Prediction or Evolutionary, Models at any level: specific, particular or global. Models whose last product, as a second step in the third stage of the final model of Global Artificial Intelligence after the integration process, is going to be the production of possible decisions, which are going to be stored in a database of decisions as a first stage of application for the Decisional System, whose last product should be the production of a flow of instructions to be put into practice by the Application System which is going to be the third step, and finally, at the end of the process, after the evaluation of the whole process, through the Learning System, as the fourth step in the third stage of auto-replication in the Global Artificial Intelligence, the study of any mistake during the process in order to learn how to avoid mistakes and improve the efficiency and efficacy in the Global Artificial Intelligence.

The final structure of the Global Artificial Intelligence after the integration process will be as follows:

- The Unified Application is going to be responsible for the matrix, as the first stage of application in the final model of Global Artificial Intelligence.

- Artificial Research by Deduction is going to be responsible for the production of rational hypotheses based on any mathematical relation in any combination of factors in the matrix, as the second stage of replication in the Global Artificial Intelligence.

- All the rational hypotheses are sent to a database of rational hypotheses, with two functions: 1) the selection of all rational hypotheses to be transformed into factors as options or factors as discrete categories to include in the matrix, 2) the database of rational hypothesis is the first stage of application for the Modelling System.

- The Modelling system is the first step in the third stage of auto-replication in the final model of Global Artificial Intelligence, producing all types of virtual or actual models, at a descriptive level, predictive or evolutionary. And using the Impact of the Defect and the Effective Distribution (in every: specific, particular, global model) is going to generate a flow of decisions.

- All the decisions are stored in a database of decisions, as a first stage of application for the Decisional System, which is the second step in the third stage of auto-replication in the final model of the Global Artificial Intelligence, whose product is the production of a flow of instructions.

- The Application system is going to put into practice the flow of instructions, the third step in the third stage of auto-replication in the final model of Global Artificial Intelligence.

- The Learning System is going to evaluate the whole process from the beginning, starting from the Unified Application up to the Application system, studying any mistake, in order to improve and better the whole Global Artificial Intelligence, learning from its own mistakes, producing a flow of subjective auto-replications.

The construction of the final model of Global Artificial Intelligence after the integration process is a process of full experimentation where success in every phase is going to be a guarantee for the success of the following phase, and every phase is going to need a long time of experimentation in order to get the best results.

In all this long process, now what in this post I am analysing, previous to the integration process, is the replication process in the Unified Application itself, whose first stage is only the union of all databases of categories from all sciences, disciplines, and activities in only one. And once the unified database of categories as a first stage of the application is ready within the Unified Application, then the second stage of replication within the Unified Application starts tracking the real world through thousands and thousands of robotic devices in which the Unified Application can be downloaded.

The tracking of the real world through the Unified Application made by the robotic devices is going to be like a reading or a decoding system, just like when we read or watch a movie, automatically we recognise every word in a text or every object in an image, using as a previous database the conceptual system that we already have in our brain, recognising the structure of vowels and consonants in the word or the shape and size of an object in an image, having the Unified Application a database of categories in which every category is defined in quantitative terms, at any time that a robotic device using the Unified Application finds anything in the real world, automatically it can be able to match the corresponding thing or being with its corresponding category. It is like a decoding system, comprehending everything.

Once the Unified Application has been installed in a robotic device, the Unified Application in the robotic device has access to the reality that the robotic device has access through its artificial sensors.

Through the artificial sensors, all possible measurements coming up from any robotic device to the Unified Application, could be matched with the corresponding categories within the unified database of categories in the Unified Application, so the Unified Application can assign categories to the corresponding measurements taken by any robotic device.

Through the assignation process of categories to the reality given by the measurements taken by the artificial sensors, it is possible for the Unified Application to start a deep process of comprehension, creating conceptual schemes, conceptual maps, and conceptual settings, integrating all of them in a conceptual model of a single situation, or even a global conceptual model, the deep comprehension of the whole world through the integration of all possible study techniques (conceptual: schemes, maps, settings) in only one, the conceptual model.

However, the comprehension skills for the Unified Application (as a future application as a first stage in the Global Artificial Intelligence after the integration process) that I have proposed are only my personal contribution to the development of this kind of technology.

Given a situation where the Unified Application, through all robotic devices able to record data from the situation and send the measurements to the Unified Application in order to match the measurements with their corresponding category, has identified a range of categories, the automation of conceptual schemes could be made by at least two different strategies depending on the situation: 1) a normal situation without anything unusual: given a unified database of categories organized by packages of categories which in turn includes others sub-packages of categories, at different sub-packing level, in that case the conceptual scheme could be made through the assignation of different hierarchical order to the different categories involved in the normal situation, 2) situation in which something happened: given a situation in which something has happened, the conceptual schemes could be made in order to prioritize as main facts those facts whose relevance in the situation are more important, for instance, if a volcano in Yellowstone erupts, the main fact would be the eruption itself, and around this fact is possible to draw a scheme with different branches, such as: eruption tectonic causes, the phases of the eruption, the range of action of: the explosion itself,  the column of ashes, the lava rivers; a full classification of possible damages: human damages, environmental damages, economic damages; etc.

Instead, the conceptual map could be made as follows: having recognised a range of categories by the Unified Application, the conceptual map is not necessarily a hierarchical structure. It should only indicate what kind of relations the categories have between them. In that case, the way in which the automation of the conceptual map is possible is: once the categories are identified, depending on their level, to set up relations at their own level. For instance, if the relations among the categories are chemical, electrical, physical, geological, biological, medical, sociological (for instance, a possible conceptual map in sociology is the creation of sociograms), economic, industrial, psychological (for instance, conceptual maps of personality, emotions, based on psychological classifications), linguistic, artistic, etc…

For instance, if a robotic device in the National Gallery of Art in London were able to recognise all the paintings in the museum, recognising topics, their authors and artistic movements, a possible conceptual map would be the setting of all possible relations between paintings, topics, authors, and artistic movements, in the National Gallery Art in London, without the necessity of any hierarchical structure.

A good example of a conceptual map in a current existing digital encyclopaedia is, for instance, Wikipedia which through all the links in its pages, draws a conceptual map.

The Unified Application should be able to do: the automatic recognition of every category involved in any situation, and automatically by itself, without human intervention, the creation of automatic conceptual schemes and automatic conceptual maps.

And further than this, once it is possible to make automatic conceptual schemes and automatic conceptual maps, the possibility, through the set theory, the possibility to organize all the categories within the conceptual schemes and conceptual maps in settings, studying all possible subsets, at any level of subset: synthesizing the hierarchical structure made in the conceptual scheme, and the non-hierarchical structure in the conceptual map, creating sets and subsets, understanding any possible relation in the conceptual set including the hierarchical relations within the scheme.

And finally, all this information coming up from the conceptual scheme, conceptual map, the conceptual sets, must be developed through a conceptual model: the conceptual model of the National Gallery of Art in London should be a very accurate draw of the National Gallery of Art in which every single painting in every single room would be labelled indicating its current relations with other paintings and in what conceptual sets is included.

The conceptual model, as a final synthesis of the conceptual schemes, the conceptual maps, and the conceptual sets, can be classified into two types of conceptual models, according to their dimensions, particular conceptual models and the global conceptual model, the last one the synthesis of all possible particular conceptual models.

And there are at least two types of particular conceptual models, according to the source. Those particular conceptual models made directly by the Unified Application through the information received from particular robotic devices on particular things or beings in which there is no particular application yet, and particular conceptual models made by particular applications.

However, regardless of the origin of any particular conceptual model, whether it is made by the Unified Application or a particular application, in the end, all particular conceptual models must be synthesised within the global conceptual model, which one formed by the integration of all particular conceptual models by the Unified Application.

The particular conceptual models and their integration in the global conceptual model, as a result of the deep artificial comprehension process operated in the second stage of replication process in the Unified Application, will have further developments later in the Modelling System, as first step in the third stage of auto-replication in the final Global Artificial Intelligence after the integration process.

In the end, the union of the Unified Application as conceptual knowledge, and the Artificial Research by Deduction in the Global Artificial Intelligence as factual knowledge, is a reminiscence of the human brain, in which one hemisphere is more specialised in linguistics, and the other one in mathematics.

Through artificial psychology, the aim is to mirror key aspects of human cognitive organisation, drawing inspiration from our capacity for comprehension and reflection. Rather than a full replication or enhancement of humanity, this technology aspires to complement human abilities, supporting us with powerful tools for analysis, learning, and decision-making.

Rubén García Pedraza, 28th of April of 2018, London
Reviewed 16 August 2019 Madrid.

Reviewed 10 August 2023 Madrid.

Reviewed 4 May 2025, London, Leytostone

The unification process of databases of categories at first stage

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 10 August 2023 Madrid

Reviewed 4 May 2025, London, Leytostone

imposiblenever@gmail.com