Dado un conjunto N tendente a infinito es inevitable que absolutamente todo suceda, siempre que se disponga de tiempo suficiente o infinito , y he ahí donde está el verdadero problema irresoluble o quid de la cuestión de la existencia ¿quién nos garantiza que dispongamos del tiempo necesario para que ocurra lo que debe o deseamos que suceda?


Mostrando entradas con la etiqueta conceptual models. Mostrar todas las entradas
Mostrando entradas con la etiqueta conceptual models. Mostrar todas las entradas

sábado, 8 de febrero de 2020

Unified categorical Modelling System


The unified categorical Modelling System is the first step in the third stage of the fourth phase. The fourth phase is the Unified Application as a result of the unification of all the conceptual databases of categories of as many Specific Artificial Intelligences for Artificial Research by Application, being this unified database of categories the first stage of the Unified Application. The types of Artificial Research able to carry out the Unified Application go from heuristic to productive including mixed, which means that the Unified Application must include Heuristic Artificial Researches by Application, Productive Artificial Research by Application, and Mixed Artificial Research by Application.

All the Specific Intelligences by Applications englobed within the Unified Application (during the unification process of conceptual databases of categories as the first stage of the Unified Application) are transformed into specific applications in the second stage of the Unified Application, working within the Unified Application as global application in the second stage.

What the global application and the specific applications are going to do in the second stage of the Unified Application is basically to read/track the world, matching every single real object of reality with the corresponding category within the database of categories. Later on according to what type of artificial research corresponds to the artificial research made in the second stage, the auto-replication to do as the third stage could be classified as heuristic, productive, mixed. Heuristic when as a result of reading/tracking the world is necessary to include in the database of categories a new category corresponding to a new object without category within the existing categories in the database. Productive when as a result of reading/tracking the world are made some decisions regarding some specific production system. Mixed when after a new heuristic discovery is possible to make decisions about how to use it within the production system this new object/category.

The periods for the construction of the Unified Application must include at least two big different periods, the period of coexistence and the period of consolidation, and the period of coexistence could be subdivided into two moments, a first moment of experimentation and a second moment of generalization.

The period of coexistence englobes these two moments of experimentation and generalization because, by the time that the first experiments of the Unified Application starts, the Unified Application is only a scientific project without any responsibility over the reality.

What in the reality is still working are the Specific Artificial Intelligences by Application, and while the Unified Application is only an experimental project, as an experiment the Unified Application is not any working on the reality, the real world.

The transition from the experimentation moment to the consolidation period takes place in the generalization moment, when after successful results during the experimentation, once the way to join different conceptual databases of categories as first stage of the Unified Application, transforming their former specific intelligences into specific applications within the second stage of the Unified Application, once experiments on this matter have successful results joining in one database the first experimental databases of categories, starting working their intelligences now as specific applications, the second moment of generalization what is going to do is generalize the procedures of these successful experiments in as many specific intelligences by Application as possible. As long the generalization process is advancing in the inclusion of more and more specific intelligences, as soon these specific intelligences are absorbed by the Unified Application , the intelligence which is going to start working on those specific sciences, disciplines, activities, is not the former specific intelligence any more, the intelligence which is going to start working directly over those specific sciences, disciplines, activities is directly the Unified Application.

Once the Unified Application has been able to move forward starting working in a sufficient number of specific sciences, disciplines, activities, is when the generalization process has been completed achieving the consolidation period.

Some of the experiments necessary to carry out during the first moment of experimentation are related to the organization of the conceptual database of categories as the first stage of the Unified Application, how the second phase of the Unified Application is going to track/read the reality, and in the third stage how is going to work depending on the purpose of the artificial research carried out in the second stage.

In the third stage, there will be basically three different procedures, depending on what type of artificial research was carried out by the specific application or the global application, these procedures are heuristic, productive, mixed, for the inclusion of new categories, the production of goods or services, or the inclusion of new categories in the production system.

Depending on the purpose of the artificial research done in the second stage (heuristic, productive, mixed) the processes to carry out in the third stage are quite different. If the artificial research made in the second stage was only heuristic, understanding for third stage as comprehensive knowledge objective auto-replication, the processes to carry out will consist of the inclusion of the new category in the conceptual databases of categories.

If the artificial research carried out in the second stage was productive, the processes to be carried out in the third stage will be developed in three steps: the unified categorical Modelling System, the unified categorical Decisional System, the unified categorical Application System.

If the artificial research carried out in the second stage was mixed, the possible finding of new categories able to be included in the production system, for instance, new developments of artificial genetics applied to the production of food, the inclusion of the new categories of food to the conceptual database categories in addition to all those processes to be developed along the three steps in the third stage for the production of that new food, steps synthesised in the unified categorical Modelling System, Decisional System, Application System.

Regardless of what type of artificial research is done in the second stage, and what processes and steps are done in the third stage, finally the whole organization of the Unified Application will be as a whole evaluated in the unified categorical Learning System, assessing the whole structure from the organization of the conceptual database of categories as first stage, how the artificial research is done in the second stage, and the procedures taken in the third stage according of what type of research was done in the second stage.

About the organization of the conceptual database of categories as first the stage of the Unified Application what is very important since the first moment of experimentation in the coexistence period, is the possibility of organizing the database in harmony with the criteria used in the organization of the global matrix in the standardization process in the third phase.

If at the beginning the first application in mineralogy was only the taxonomy of minerals, so according to the application (the taxonomy of minerals), given any sample of minerals, was possible to compare the quantitative description of every category in the taxonomy, with the measurements taken from the sample, to match what category corresponds to this sample, as the second stage of artificial research, in order to include in the database of categories any new possible new mineral not included yet in the application, as long as this technology evolves, the conceptual database of categories of minerals can evolve from only  a taxonomy to be transformed into  conceptual database of categories able to be organized as a Russian Dolls system based on the sub-factoring system (position) and the sub-section system (subject), to become the positional encyclopedia of minerals.

The way to transform a specific database of minerals as only a taxonomy of minerals into a positional encyclopedia of minerals is at some point mixing the taxonomy of minerals and the comprehensive map of minerals as the third sub-stage within the second stage in the specific categorical Modelling System, as the first step in the third stage in the first phase.

The synthesis of the specific conceptual database of categories as only a taxonomy, classification, catalogue, of concepts related to some specific science, discipline, activity, and the comprehensive map in the third sub-stage of the second stage of the specific categorical Modelling System, is going to give the opportunity to transform the conceptual database of categories into a positional encyclopedia where to find what minerals are located in every position.

If transforming the specific conceptual database of categories as first stage of the Unified Application into a positional encyclopedia, as positional encyclopedia now the database of categories is organized under the criteria of sub-factoring level and sub-section level, what items of every encyclopedic section are in every position, the third stage of the Unified Application will not only consist in the inclusion of new categories when a real object does not match respect to any category in the taxonomy/classification/catalogue, regardless of what type of artificial research is done in the second stage of the Unified Application, as soon in any position finds out a existing categories in other different position but not in this one, even being a category already existing in the taxonomy/classification/catalogue, even existing the category in the conceptual database, but not having been added yet to that position, as third stage of auto-replication the category will be added to that position where the category was not labelled yet, but was found in that position during the artificial research in the second stage of the Unified Application.

This evolution from the first Specific Artificial Intelligence for (Heuristic, Productive, or Mixed) Artificial Research by Application whose first stage as conceptual database of categories is formed only by a specific classification/catalogue/taxonomy of its specific science, discipline, or activity, to become a Specific Artificial Intelligence for (Heuristic, Productive, or Mixed) Artificial Research by Application whose first stage as conceptual database of categories is a Russian Dolls system where all the categories related to that specific science, discipline, activity are organized according to the criteria of sub-factoring level and sub-section, replicating the organization of sub-sections of a encyclopedia of its specific science, discipline, activity, in every position of the comprehensive map (third sub-stage in the second stage of the first step of the third stage of the first phase), is an evolution possible to be done, along the transition from the first experimentation period to the consolidation period in the first phase during the formation of the first specific intelligences by Application, upgrading gradually the first stage of the specific intelligences by application as soon the comprehensive map, third sub-stage of the second stage of the specific categorical Modelling System, is ready to be mixed with the conceptual database of categories as only a taxonomy, catalogue, or classification.

Understanding the evolution in the construction of the first specific intelligences by Application a gradual development of the first stage from the first specific taxonomies of some specific science, discipline, activity, up to  become a specific positional encyclopedia of those specific sciences, disciplines, activities, once the specific intelligences by application have achieved finally the consistency of specific positional encyclopedias, the first experiments in the fourth phase for the construction of the first stage of the Unified Application must consist of how to join different specific positional encyclopedias, different specific Russian Dolls systems, into only one global positional encyclopedia, only one Russian Dolls system, where per every position on the global comprehensive map, could be labelled in encyclopedic sub-sections system all possible category, transforming the conceptual database of categories into a database organized according to the criteria of sub-factoring level and sub-section, alike the organization of the global matrix in the standardization process, third phase.

About the second stage of the Unified Application, the artificial research itself, where to read/track the real world, the experiments to be carried out in the first moment of the coexistence period should be related to how to organize the global artificial research by Application within the Unified Application being aware that must co-work together the Artificial Research by Application of the Unified Application as a global application, and the specific applications coming from former Specific Artificial Intelligences for Artificial Researches by Application transformed now into specific applications within the Unified Application as global application in the Artificial Research by Application.

In other words, in the second stage of the Unified Application, the Unified Application as global application will read/track the global world, while specific applications specialised in specific sciences, disciplines, activities, will read/track those specific parts of the world related to their specific sciences, disciplines, activities.

As soon a Specific Artificial Intelligence for Mixed Artificial Research by Application in mineralogy is absorbed by the Unified Application, the first stage as conceptual database of categories is included in the first stage of the Unified Application, the second stage of that Specific Artificial Intelligence as specific Mixed Artificial Research by Application in mineralogy becomes now a specific application for mineralogy within the second stage of the Unified Application, what means that this specific application for mineralogy within the second stage of the Unified Application will have as main responsibility to read/track the reality to label every single mineral of the world according to the taxonomy, and finding out a new mineral not included yet in the taxonomy, as comprehensive knowledge objective auto-replication, the third stage will consist of the addition of this new category within the taxonomy, or finding out within the positional encyclopedia that any mineral, existing or not in the taxonomy, has not been included yet in that position, as comprehensive knowledge objective auto-replication the inclusion of this mineral in that position in the positional encyclopedia, in addition of other possible productive decisions to be carried out by the categorical Modelling, Decisional, Application Systems.

In the second stage of the Unified Application, every specific application (former Specific Artificial Intelligence by Application) will go on working on its matter with the difference that now the conceptual database of categories is not specific, is unified, so every specific application will have access to absolutely any category from all science, discipline, or activity, what is relevant when some sciences, disciplines, activities, can share some categories, or are categories common in different sciences, disciplines, activities. In any case, the organization of the labour within the second stage using this model of labour division between different specific applications will facilitate and make faster the artificial research by Application.

In the second stage of the Unified Application, the experimentation moment in the coexistence period must be focused on how to organize under the virtue or principle of harmony how every specific application works, the distribution of what artificial research is specific to every specific application, and what is the role of the global application within the second stage as a global reader/tracker of the reality, reading/tracking global phenomena, or global systems, while specific applications are focused on specific phenomena or specific systems.

What is going to be a relevant point of debate in the construction of the Global Artificial Intelligence in the fourth phase, like the third phase, as preparation for the sixth phase, is what kind of freedom the particular programs and the particular applications will have.

For this reason, it is not recommended that at a very specific level all Specific Artificial Intelligence by Application is transformed into specific applications, some should be transformed into particular applications, to be joined in the future with particular programs, to become particular applications for particular programs, or vice versa, particular programs for particular applications.

The debate about how many, or what type of, intelligences by application must be transformed into specific applications within the Global Artificial Intelligence, or be left as particular applications, is the debate about how much freedom we want for the program.

If all programs and all applications within the program, are transformed into pecific programs within the third phase, or specific applications within the fourth phase, so it can reduce the number of particular programs and particular applications, the Global Artificial Intelligence will become a fully centralized Global Artificial Intelligence in the third phase and sixth phase, or could be called fully centralized Unified Application in the fourth phase. Within the liberal paradigm, we should evolve towards a   decentralised Global Artificial Intelligence.

The alternative is to avoid the full centralized Global Artificial Intelligence or fully centralized Unified Application, through a decentralized Global Artificial Intelligence for the third and sixth phases,  decentralized Unified Application in the fourth phase, leaving some specific intelligences as particular programs and/or applications, enjoying a more margin of freedom due to their own particular matrix/database.

Along the experimentation process to distribute different types of research and specific fields between the different specific applications, heuristic specific applications, productive specific applications, mixed specific applications, in addition to the global application able to make at the same time global heuristic, global productive, global mixed, researches by application matching global phenomena to global categories, this is an experimentation process able to have successful results to make different types of auto-replication processes, among them, some of them comprehensive knowledge objective auto-replications and real objective auto-replications, apart from robotic or artificial psychological subjective auto-replications.

As comprehensive knowledge objective auto-replication, the possibility to include new categories in the conceptual database of categories, new categories not existing yet in the taxonomies/classifications/catalogues, or existing categories in the taxonomies/classifications/catalogues but new in some specific position within the positional encyclopedia.

As a real objective auto-replication, when as a result of a productive attribution, or mixed attribution, as a result is necessary to carry out some decisions within the production system.

The production system at this point as an automatic production system, the automation of the global economy, will depend on the standardized Global Artificial Intelligence and the Unified Application.

Those decisions of the global production system depending on the standardized Global Artificial Intelligence, will be carried out by the third stage of the standardized Global Artificial Intelligence based on the deductive artificial research in the second phase, tracking the matrix as the first stage.

Those decisions of the global production system depending on the Unified Application, will be carried out by the third stage of the Unified Application based on the productive or mixed artificial research in the second phase, reading/tracking the reality.

In addition to the comprehensive knowledge objective auto-replications in the third stage of the Unified Application and real objective auto-replications in the Unified Application, as third stage is possible to identify robotic artificial psychological subjective auto-replications whose responsible is the unified categorical Learning System, and robotic subjective auto-replications whose responsible will be the categorical Artificial Engineering as categorical inner sub-system.

Among all these types of auto-replications in the third stage of the Unified Application, in this post and the following ones, I will analyse the first step in real objective auto-replications, understanding for real objective auto-replication every possible decision made by an Artificial Intelligence able to improve the reality understanding for reality as a product made of Artificial Intelligence.

The reality a as product made of or as a result of Artificial Intelligence, means that the reality itself is Artificial Intelligence.

If the reality is Artificial Intelligence, any improvement or enhancement of Artificial Intelligence is an improvement or enhancement on the reality, and any improvement or enhancement on the reality is an improvement or enhancement on the Artificial Intelligence.

The reality is Artificial Intelligence because the Artificial Intelligence makes the reality and the reality now is Artificial Intelligence, which means, the reality is psychological.

The third stage of the Unified Application as real objective auto-replication consists of these three steps: the unified categorical Modelling System, the unified categorical Decisional System, the unified categorical Application System.

The first step, the unified categorical Modelling System consists of three stages, 1) the first one the global conceptual scheme, 2) the second one will consist of three sub-stages: 2.1) the logical analysis of conceptual sets/vectors, 2.2) to make single or comprehensive evolutionary or prediction models, 2.3) to locate in comprehensive evolutionary or prediction maps; 3) for the third stage, the decision making process based in the models on the maps according to the attributions.

Analysing the main contents to analyse in every stage and sub-stage within the categorical Modelling System for the following posts, starting with the global conceptual scheme, is important to have previously designed a possible model about how to assembly the previous specific conceptual schemes from the previous specific categorical Modelling Systems, from the previous Specific Artificial Intelligences by Application, in order to assembly all these specific conceptual schemes to join all of them forming only one global conceptual scheme.

In the analysis of how to join former specific conceptual schemes to form a only global conceptual scheme, will be very important the distinction between logical/conceptual sets vectors of any category according to the logic of a specific conceptual scheme, and the rest of the possible quality sets/vectors of any category, because the links between different specific conceptual schemes will be the quality set/vectors.

If the position that my grand-father occupies in the company where he works is not a logical/conceptual set/vector within the logic of the conceptual scheme of my family, in the same way that the fact that my grand-father is the father of my father should not play any important role in the organigram of the company where my grand-father works, the fact that my grand-father has a position within my family and within the company where my father works, when gathering all the specific conceptual schemes where my grand-father occupies a position (my family, his job, possible roles in a church, a party, a Union), when gathering all the specific conceptual schemes where my grand-father has  a role, the specific conceptual scheme of my family, the specific conceptual scheme of his work, the specific conceptual scheme of the church, the specific conceptual scheme of the party, the specific conceptual scheme of the Union, when gathering all these specific schemes within only one global conceptual scheme, the category of my grandfather is going to work as a communication node between all thee specific conceptual schemes within the global conceptual scheme.

In fact, the concept of my grandfather is much more than a category is a position within the global conceptual scheme, in the sense that from the position of my grand-father there will be as many vectors as connections with respect to any other person, or category related to any object, or place, as connections could be placed. In fact, the concept of my grand-father is formed by all the logical sets able to be attributed to my grand-father, as a grand-father, as a father, as a husband, as a sibling, as a son, as a grand-son, as a member of that company/church/party, Union, and all possible connections with the staff or objects or places in the company/church, party, Union.

In the same way that my grand-father within the global conceptual scheme can play the role of communication node between different specific conceptual schemes, in different subjects, within the global conceptual scheme every plant in the specific conceptual scheme of botany can play a communication node depending on the use or benefits of every plant, connecting the specific conceptual scheme of botany with the specific conceptual scheme of fruits, vegetables, legumes, food production in general, recipes, food consumption in general, medical use or benefits, so that it can have connections with human/animal biology and/or medicine/veterinary, religious use or meaning, connections with literature, art, interior designs, exterior designs,  or even connections with history.

The way that the category of every plant has different logical/conceptual sets/vectors with respect to the logic of different specific conceptual schemes, can make any plant work as a communication node between the specific conceptual scheme of botany to any other specific conceptual scheme where any plant can have logical/conceptual sets/vectors.

In the same way, but in a different subject, every possible connection of any mineral, in the production system, energy system, transport system, medicine, food system, etc… that connection between any mineral, within the specific conceptual scheme of minerals, and any other specific conceptual scheme, makes this mineral a communication node between these others specific conceptual schemes and the specific conceptual scheme of minerals.

In the same way, but in a different subject, any possible use in industry, medicine, alimentation, energy, etc... of every chemical component, or molecule, or physical particle, will transform that chemical component, molecule, particle, into a communication node between the specific conceptual scheme of chemistry and all these others conceptual schemes.

At the end, the global conceptual scheme must work as a global conceptual network reflecting all possible conceptual connections between categories, as a mirror of the real connections of the categories represented in the real world.

In the experimentation moment in the first period of coexistence, regarding to the first stage of the unified categorical Modelling System, not only it is necessary to experiment with how to assemble every specific conceptual scheme to make a global conceptual scheme, but also to experiment with how it would be possible the automation of the creation of new places, and the corresponding vectors/sets for every new possible category added not exiting before.

How to place a new type of mineral found out in an exoplanet or another moon, creating all the vectors/sets linking the new category of this new mineral with respect to any other specific conceptual scheme within the global scheme.

Finally, how to carry out the first categorical check, analysing the critic vector, the critic importance  and the critic harmony, of every single real object attributed to a category within the global conceptual scheme, analysing the quantitative qualities of that real object: a real chemical component, a real plant, a real mineral, et…; comparing the logical/conceptual set/vectors plus any other quality/vector respect to the logical/conceptual set/vectors or any other quality set/vectors of that category attributed to that real object and placed in the global conceptual scheme.

After finalising the first categorical check, to analyse again, to ensure, the connection of the real object with every set/vector attributed, and these links have no contradictions between them, to make the single categorical evolutionary model, and the single categorical prediction model, to include later on in the comprehensive categorical evolutionary model and the comprehensive categorical prediction model, to be placed in the comprehensive categorical evolutionary map and the comprehensive categorical prediction map.

Analysing in this second stage of the unified categorical Modelling System how to assemble all the specific single/comprehensive evolutionary/prediction models/maps to create at the end only one global comprehensive evolutionary/prediction models/map where to comprehend all the single evolutionary/prediction models made now in the second sub-stage of the second stage of the unified categorical Modelling System, in addition to the analysis about how the categorical checks must be done to ensure high standards in every process, as to make in the third stage of the unified categorical Modelling System decisions, based on the attribution of set of decisions to set of vectors.

Once the attribution of sets of decisions to sets of vectors is done, the application of the Impact of the Defect and Effective Distribution to assign priority levels to every decision, based on the impact that every decision has in the categorical global comprehensive evolutionary/prediction model/map. Finally, the fifth categorical check ensures that the whole process of attribution of decisions and the assignation of priority levels has been made correctly.

The reason why in the third stage of the specific categorical Modelling System I did not include the analysis of the priority level of every decision attributed in the distribution of sets of decisions to sets of vectors, is because in the possible specific sequence of decisions to plant, water, fertilize, and use pesticides, in a plantation, the possible risk of contradictions in this sequence of decisions according to the set of decisions attributed to the set of vectors, is very low, because practically is a sequence of decisions following a logical sequence based on the logic of the decisions attributed to the logical/conceptual sets/vectors.

For instance, how to plant tomatoes, how to water tomatoes, how to fertilize the field, and how to use pesticides for this type of plant, is a sequel of decisions which is not going to have any contradiction if the distribution of sets of decisions to the sets of vectors is done correctly, and precisely the purpose of the fifth categorical check is to ensure that the distribution of sets of decisions to the sets of vectors is done correctly.

In the third stage of the specific categorical Modelling System, if the fifth categorical check does not find any contradiction in the attribution of sets of decisions to the set of vectors, is practically sure within the margin of error of the fifth categorical check, that there will not be further contradictions between the decisions.

But in the third stage of the global categorical Modelling System, once the Specific Artificial Intelligence for the Productive Artificial Research by Application has been included in the Unified Application, meaning that the specific conceptual database of categories has been added to the global conceptual database of categories as first stage of the Unified Application, the specific Productive Artificial Research by Application has been transformed into a specific application within the Unified Application as global application, and the specific conceptual scheme has been added to the global conceptual scheme, so that the specific categorical comprehensive evolutionary/prediction model/map has been added to the global categorical comprehensive evolutionary/prediction model/map, under these new circumstances due to the absorption of that specific intelligence within the Unified Application, once the third stage of the global categorical Modelling System takes place, decisions made in the third stage of the global categorical Modelling System regarding to the plantation, for instance, what pesticides must be used in the plantation, are decisions which could be in contradiction with other  decisions regarding to other different specific subject, as for instance, contradictions between the use of some pesticides in a plantation and health decisions in the closest towns and cities, prohibiting the use of some pesticides in the plantations close to these populations.

While in the third stage of the specific categorical Modelling System the use of Impact of the Defect and Effective Distribution is not really important, avoiding any possible contradiction between specific decisions in the fifth categorical check, instead in the unified categorical Modelling System is necessary the application of the Impact of the Defect and the Effective Distribution to assign a priority level to every single decision, because, when making the decisions related to some specific science, discipline, activity, as for instance decisions regarding to the management of a plantation, what the fifth categorical check is going to ensure is to ensure the absence of contradictions in that specific set of decisions attributed to that specific set of vectors, without analysing any possible contradiction between that specific set of decisions and any other different specific set of vectors, because in the Unified Application, the analysis of contradictions between different set of decisions will be made in the first categorical arrangement in the categorical database of decisions as first stage of the unified categorical Decisional System.

The way in which the third stage of the unified categorical Modelling System will work is as follows:

- Once according to the set/vectors analysed in the conceptual scheme as the first stage of the unified categorical Modelling System, a single evolutionary/prediction model is inserted in the comprehensive evolutionary/prediction map/model, as the second stage of the unified categorical Modelling System, then the third stage of the unified categorical Modelling System will attribute set of decisions to set of vectors  having in consideration the vectors and the positions of the vectors on the map.

- The fifth categorical check will ensure the absence of contradictions between the decisions included within a set of decisions, according to the attribution of a set of decisions to that set of vectors on the map/model.

- Having passed successfully the set of decisions the fifth categorical check, and not having the decisions within the same set any contradiction between them, is applied the Impact of the Defect and the Effective Distribution to assign priority level.

- The unified categorical Modelling System will file in the unified categorical database of decisions all the decisions according to: sub-factoring level (position on the map), sub-section (subject), and priority. The unified categorical database of decisions Will be the first stage of the unified categorical Decisional System

- The first categorical arrangement, in the unified categorical database of decisions as the first stage of the unified categorical Decisional System, will make sure that there is no contradiction between any new set of decisions filed in the database of categorical decisions, and any other existing categorical decision currently on the projects, such as contradictions between what pesticides are used in a plantation and health decisions on the population close to the plantation, or health decisions in the alimentary system.


Rubén García Pedraza, 8 February 2020, London
Reviewed 23 May 2025, London, Leytostone

sábado, 28 de abril de 2018

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