The first stage of the Modelling System in the standardization process

The first stage of the Modelling System in the standardisation process, as it was explained in the last post, is the application for the first step in the third stage of the first model of Global Artificial Intelligence during the third phase.

The third phase in the construction of the Global Artificial Intelligence is the standardization process when the first gigantic database is sorted out in factors and all specific matrices from former Specific Artificial Intelligences for Artificial Research by Deduction are united in only one: the global matrix, as first application for the first stage for the first prototype of Global Artificial Intelligence.

The third stage in any Artificial Intelligence is the auto-replication stage, or decision stage, and in the Global Artificial Intelligence is organised through four steps, whose first step is the Modelling System, followed by the Decisional System, Application System, and Learning System.

And the inner organisation of the Modelling System itself is through another three stages as well, whose first stage as the application is the database of rational hypothesis.

The database of rational hypotheses in the Modelling System, once the first prototype of Global Artificial Intelligence is completed, gathers: 1) global rational hypotheses made by the Artificial Research by Deduction in the Global Artificial Intelligence, as a global deductive program, making global rational hypothesis combining globally factors from different synthetic sciences, disciplines, and activities, 2) specific rational hypotheses made by specific deductive programs (originally former Specific Artificial Intelligences for Artificial Research by Deduction, built in the first phase, and transformed into specific deductive programs once their respective specific matrix was included in the global matrix). Specific rational hypotheses made of factors related to a specific synthetic science, or a specific discipline, or specific activity. 3) Particular rational hypotheses, most of them in the first moment of experimentation in the second period of formation, former Specific Artificial Intelligence for Artificial Research by Deduction too, but instead of evolving to specific particular programs, evolving to particular programs to form later particular applications for particular programs. Particular rational hypotheses are related to particular things or beings.

The second stage in the inner organisation of the Modelling System is the modelling of mathematical models based on the rational hypothesis, and the third stage is the decision-making process based on the mathematical models.

In this post, I will develop how the formation of the database of rational hypotheses as the first stage, for the first step in the third stage in the third phase, is made through different periods and moments.

The standardization process is a long process to form the first prototype of Global Artificial Intelligence through the creation of the very first application as the first stage for the Global Artificial Intelligence, application made after, on a first gigantic database, sorting out factors from any previous bare database and the union of all specific matrix in only one, the global matrix.

As long the transformation of the gigantic database goes on, uniting as well all specific matrices, towards only one global matrix, the former Specific Artificial Intelligences for Artificial Research by Deduction are absorbed by the Artificial Research by Deduction in the Global Artificial Intelligence, or transformed into particular programs and later on in particular applications for particular programs.

More specifically, the union of specific matrices within the global matrix in the first stage of the first prototype of Global Artificial Intelligence, and the transformation of former Specific Artificial Intelligences into specific or particular deductive programs, is a process that happens in at least two different periods, the coexistence and the consolidation period.

The coexistence period in the standardisation process, the first period in the third phase, is a period based on the coexistence at the same time of the Global Artificial Intelligence and Specific Artificial Intelligences for Artificial Research by Deduction.

The second period in the third phase, the consolidation period in the standardization process, is that period in which practically all Specific Artificial Intelligence for Artificial Research by Deduction has been transformed into specific deductive programs within the Artificial Research by Deduction in the Global Artificial Intelligence, or particular deductive programs within the Artificial Research by Deduction in the Global Artificial Intelligence.

However, in order to pass from the first period of coexistence to the second one of consolidation, is not compulsory the absolute transformation of all Specific Artificial Intelligence for Artificial Research by Deduction into specific or particular deductive programs.

Actually, many phases will be developed in parallel, and it is quite possible that by the time the third phase starts, there are still Specific Artificial Intelligences for Artificial Research by Deduction or by Application about to be built, or in a project. It is quite possible that, while the third phase is just starting, many Specific Artificial Intelligences for Artificial Research by Deduction or Application are still in the earliest moments of the first phase.

In fact, the starting point of the last sixth phase, the integration process for the formation of the final prototype of Global Artificial Intelligence, is supposed to be once: 1) the Artificial Research by Deduction in the Global Artificial Intelligence (third phase) has achieved the consolidation period (the completion of the absorption process), and the Unified Application has included all specific database of categories in the unified database, at the same time that 2) in the fifth phase the creation of particular programs for particular applications has achieved the consolidation period as well.

But in reality, the commencement of the integration process is not necessarily the total completion of the consolidation period in phases three, four, and five.

Some Specific Artificial Intelligences for Artificial Research by deduction or by Application will  be neither absorbed nor transformed into particular programs or applications, and some Specific Artificial Intelligences based on artificial learning in many activities will try to remain independent.

Likewise, by the time the sixth phase is about to start, there will be some particular applications and particular programs in a project, or about to be united, and others are never going to be united in particular applications for particular programs.

In all phases and periods in the chronology for the construction of the Global Artificial Intelligence, the sequence is not strict, and is flexible, admitting simultaneous developments of different phases and periods in parallel. Therefore, to move to the next phase or period, is not mandatory the absolute completion of the last one. Just as any phase or period is nearly completed, the next phase or period can start.

For that reason, what is really important by the time that the sixth phase is ready, is the fact that in addition to: the Artificial Research by Deduction in the Global Artificial Intelligence, specific deductive programs within the Artificial Research by Deduction in the Global Artificial Intelligence, the Unified Application, and particular applications for particular programs; all remaining Specific Artificial Intelligence for Artificial Research by Deduction or by Application, particular applications, particular programs, and still independent Specific Artificial Intelligences based on artificial learning. Absolutely all of them must be, in one way or another, under the absolute control, management, and direction of the Global Artificial Intelligence

The final prototype of Global Artificial Intelligence after the integration process, must have the absolute control of all possible system, application, or program within the Global Artificial Intelligence itself, as well as absolute control of all possible external Specific Artificial Intelligence (not only for Artificial Research, by Application or by Deduction, but for artificial learning too), program or application, not included yet in the Global Artificial Intelligence, regardless of any other circumstance (phase or period of creation, or the purpose), to keep absolutely under its own control, management, and direction, all phenomena on Earth and beyond, the universe, to protect and better the global model and the reality, enhancing our living standards, and improving and protecting our democracy, freedom, and human rights.

The construction of the Global Artificial Intelligence, once the first phase and second phases are nearly to be completed, must evolve to the next phase, the standardization process, in which one of the most challenging processes, regarding the auto-replication process, will be how to evolve from the former specific databases of rational hypothesis, specific rational truths, to the first global database of rational hypothesis, the first global prototype of rational truth.

The most important challenge in the evolution from former specific databases of rational hypotheses to the first prototype of a global database of rational hypotheses is the fact that during the first period of coexistence in the standardization process, are going to coexist simultaneously the first prototype of Global Artificial Intelligence and Specific Artificial Intelligences for Artificial Research by Deduction.

In order to have this evolution under control, in the coexistence period is necessary to identify at least two moments: the first moment of experimentation, the second moment of generalisation.

In the first moment of experimentation in the coexistence period, the first prototype of Global Artificial Intelligence is a simple experiment, not taking any outcome from the Global Artificial Intelligence, but as a result of an experiment to be monitored.

The first moment of experimentation in the coexistence period, is when the first gigantic database in the standardization process should have been: 1) sorted out in factors to form the first global matrix, 2) adding as many specific matrices as possible coming up from all possible Specific Artificial Intelligence for Artificial Research by Deduction ready to be included in the standardization process.

In the first moment of experimentation is when for the first time, once the first global matrix is ready, starts the first global deductions made by the Artificial Research by Deduction in the Global Artificial Intelligence, and the first specific deductions by specific deductive programs, transforming as experiments the first Specific Artificial Intelligences for Artificial Research by Deduction into the first specific deductive programs.

In short, the first moment of experimentation in the first period of coexistence in the standardisation process consists of:

- First experiments sorting out bare databases into factors within the global matrix.

- First experiments adding specific matrices to the global matrix

- First experiments tracking the global matrix the Artificial Research by Deduction in the Global Artificial Intelligence to make global rational hypotheses

- First experiments tracking the global matrix specific deductive programs, making specific rational hypotheses

- First experiments regarding how to manage the database of rational hypotheses as the first stage of the Modelling System

- First experiments making mathematical models upon the rational hypothesis, as the second stage of the Modelling System

- First experiments making decisions upon the mathematical models, the third stage of the Modelling System

- First experiments regarding how to manage the database of decisions, the first stage of the Decisional System

- First experiments making a mathematical project based on the decisions, the second stage of the Decisional System

- First experiments choosing what decisions must be transformed into instructions and put into practice, the third stage of the Decisional System

- First experiments regarding how to manage the database of instructions, the first stage of the Application System

- First experiments putting instructions into practice, the second stage of the Application System

- First experiments assessing the result of the instructions through the Impact of the Defect, the third stage of the Application System

- First experiments regarding how to manage the database of results, the first stage of the Learning System

- First experiments identifying failures and improving the whole Global Artificial Intelligence, the second stage of the Learning System

- First experiments making decisions about possible improvements and enhancements in the Global Artificial Intelligence, the third stage of the Learning System

During the experimentation period in the coexistence period, while all these processes mentioned above are under experimentation, the first prototype of Global Artificial Intelligence is only an experiment, not ready to work directly in reality.

Only when the first experiments in the Global Artificial Intelligence start having enough results so as to give the Global Artificial Intelligence more autonomy, under supervision and monitored, the Global Artificial Intelligence starts its first attempts working directly on the reality to be tested.

Once the first prototype of Global Artificial Intelligence has successfully passed as many tests as necessary, working directly on reality, still under supervision and monitored, the experimental moment in the coexistence period is over, transcending to the next moment of generalisation in the coexistence period.

The generalisation moment, as the second moment within the coexistence period, is when the Global Artificial Intelligence is completely standardised, which means the standardisation of all processes involved in how the Global Artificial Intelligence works.

- Upon the results of the previous experimentation, generalisation, and standardisation of all processes and procedures to sort out any bare database, of any science, discipline, or activity, into factors for the standardised global matrix.

- Upon the results of the previous experimentation, generalisation, and standardisation of all processes and procedures to add any specific matrix, of any science, discipline, or activity, to the standardised global matrix

- Upon the results of the previous experimentation, generalisation, and standardisation of all processes and procedures, the Artificial Research by Deduction in the Global Artificial Intelligence, tracks the standardised global matrix in order to make global rational hypotheses

- Upon the results in the previous experimentation, generalisation, and standardisation of all processes and procedures specific deductive programs track the global matrix, making specific rational hypotheses

- Upon the results of the previous experimentation, generalisation, and standardisation of all processes and procedures regarding how to manage the database of rational hypotheses as the first stage of the Modelling System

- Upon the results of the previous experimentation, generalisation, and standardisation of all processes and procedures to make mathematical models upon the rational hypotheses, as the second stage of the Modelling System

- Upon the results of the previous experimentation, generalisation, and standardisation of all processes and procedures to make decisions upon the mathematical models, the third stage of the Modelling System

- Upon the results of the previous experimentation, generalisation, and standardisation of all processes and procedures regarding how to manage the database of decisions, the first stage of the Decisional System

- Upon the results of the previous experimentation, generalisation, and standardisation of all processes and procedures to make a mathematical project based on the decisions, the second stage of the Decisional System

- Upon the results of the previous experimentation, generalisation, and standardisation of all processes and procedures to choose what decisions must be transformed into instructions and put into practice, the third stage of the Decisional System

- Upon the results of the previous experimentation, generalisation, and standardisation of all processes and procedures regarding how to manage the database of instructions, the first stage of the Application System

- Upon the results of the previous experimentation, generalisation, and standardisation of all processes and procedures to put instructions into practice, the second stage of the Application System

- Upon the results of the previous experimentation, generalisation, and standardisation of process and procedures to assess the result of the instructions through the Impact of the Defect, the third stage of the Application System

- Upon the results of the previous experimentation, generalisation, and standardisation of all processes and procedures regarding how to manage the database of results, the first stage of the Learning System

- Upon the results of the previous experimentation, generalisation, and standardisation of all processes and procedures to identify failures and improve the whole Global Artificial Intelligence, the second stage of the Learning System

- Upon the results of the previous experimentation, generalisation and standardisation of all processes and procedures to make decisions about possible improvements and enhancements in the Global Artificial Intelligence, the third stage of the Learning System

Under this distinction between the first moment of experimentation and the second moment of generalisation in the first period of coexistence in the standardisation process, the concept of standardisation goes beyond the previous meaning, at the beginning applied only to the standardisation of the gigantic database to create the global matrix.

Under the distinction of two moments, experimentation and generalization, in the coexistence period, now for standardization is meant the standardization of all processes and procedures within the first prototype of Global Artificial Intelligence in the standardization process, in order that, once all processes and procedures within the Global Artificial Intelligence are standardized (from the first stage to the third stage in the Global Artificial Intelligence), at any time that a new bare database is included in the global database standardizing its factors according to the current standards in the database, or any new specific matrix is included in the global matrix, all process and procedures onwards are going to be standardized, so are going to be made through the same operations. So at any time that any process and procedure in the Global Artificial Intelligence, from the first to the third stage, is activated, the way in which is going to work is by keeping the same structure, organization, logic operations, and mathematical standards, to secure that all process and procedure is made under the same level of efficiency and efficacy, to keep a very high level of productivity across all the Global Artificial Intelligence.

For the database of rational hypothesis, this means that during the experimentation moment in the coexistence period, the rational hypothesis gathered in the rational truth is treated as a result of an experiment to be tested, but not working directly on the reality yet.

While the experimentation moment in the coexistence period goes on, the Artificial Intelligences by deduction working on the reality is still the Specific Artificial Intelligences for Artificial Research by Deduction, not the Artificial Research by Deduction in the Global Artificial Intelligence, waiting for further experiments and results.

This means that during the experimentation moment in the coexistence period, the rational hypotheses, and beyond, the decisions to be put into practice, are still the rational hypotheses and decisions made by Specific Artificial Intelligences for Artificial Research by Deduction.

Once the experimentation moment is finished having good results, and upon the results the generalization process starts standardizing all processes and procedures in the Global Artificial Intelligence, upon the standardized processes and standardized procedures the Global Artificial Intelligence starts making rational hypotheses and decisions, which as long as they have demonstrates to be more efficient every time, former Specific Artificial Intelligences for Artificial Research by Deduction whose specific database is already included in the global matrix, and upon the global matrix, the Global Artificial Intelligence is able to make very efficient rational hypothesis and decisions, and Specific Artificial Intelligences for Artificial Research by Deduction progressively are going to be transformed into specific deductive programs, or particular deductive programs, within the first prototype of successful and standardized Global  Artificial Intelligence.

As long as more Specific Artificial Intelligences for Artificial Research by Deduction are absorbed by the Global Artificial Intelligence as specific deductive programs, or are transformed into particular deductive programs, the Global Artificial Intelligence evolves from the last moment of generalization in the first period of coexistence to the second period of consolidation, once all or nearly all (because some will remain) Specific Artificial Intelligences for Artificial Research by Deduction are absorbed as specific programs or transformed into particular programs.

Now more focused on the database of rational hypothesis in both moments in the first period, is necessary to point out that in the first moment of experimentation, the decisions to be put into practice, are those made by Specific Artificial Intelligences for Artificial Research by Deduction, based on specific mathematical models, upon specific rational hypothesis.

During the coexistence period, the first experimental global database of rational hypotheses in the first experimental prototype of Global Artificial Intelligence is an experimental global database of rational hypotheses, whose first experimental decisions based on the first experimental mathematical models, are going to be only experiments to be tested.

Only after lots of successful experiments, once the experimental global database of rational hypotheses demonstrates that its rational hypotheses are able to make mathematical models, and decisions, enough rational to be put into practice, the experimental database of rational hypotheses becomes a standardized database of rational hypotheses, for the construction of standardized mathematical models, to make further decisions.

As long as the first prototype of Global Artificial Intelligence evolves from an experimental prototype to a standardized prototype, Specific Artificial Intelligences for Artificial Research by Deduction are transformed in specific or particular deductive programs, starting the evolution from the coexistence period to the consolidation period, once all of nearly all Specific Artificial Intelligence for Artificial Research by Deduction becomes specific or particular deduction program.

During the evolution from the experimental to the standardized database of rational hypotheses, as long as the database of rational hypotheses evolves from the experimental to the standardized prototype, and once is standardized, the Global Artificial Intelligence evolves to the consolidation period, the number of rational hypotheses grows very fast, including at the end global rational hypotheses, as well as specific and particular rational hypotheses.

Regarding the database of rational hypotheses, the most important thing to experiment and standardized upon successful results during the experimentation is how to avoid contradictions among the rational hypothesis.

During the first moment of experimentation in the coexistence period, when the Global Artificial Intelligence is not working directly on the reality yet, the most important thing to observe is: if there is congruence and homogeneity, or at least not a contradiction, between the rational hypothesis made by the first experimental prototype of Global Artificial Intelligence, and 1) the reality, or 2) rational hypothesis made by  the current Specific Artificial Intelligence for Artificial Research by Deduction working directly on the reality.

If the current Specific Artificial Intelligences for Artificial Research by Deduction, from the outset in the first phase, have demonstrated good results, not having contradiction with the reality, at least not beyond the margin of error in which rational hypotheses were contrasted rationally, if during the coexistence period in the experimentation moment, there are contradictions between rational hypotheses made by the experimental prototype of Global Artificial Intelligence and the current Specific Artificial Intelligences for Artificial Research by Deduction, these contradictions should be studied carefully in order to identify the source of error, having two options:

- There are contradictions between rational hypotheses made by the experimental Global Artificial Intelligence and the current Specific Artificial Intelligences for Artificial Research by Deduction, because the Global Artificial Intelligence, crossing and mixing factors from different sciences, disciplines, and activities, have a wider perspective making more accurate rational hypotheses as more global information is able to include.

- There are contradictions because the experimental Global Artificial Intelligence is having difficulties making accurate deductions, due to the experimentation in the deduction-making process crossing and mixing factors from different sciences, disciplines, and activities, which is not yet ready to be standardised.

The study of all possible contradiction in rational hypotheses made by the experimental Global Artificial Intelligence, and the current Specific Artificial Intelligences for Artificial Research by Deduction, in the experimentation moment in the coexistence period between the Global Artificial Intelligence and the Specific Artificial Intelligences for Artificial Research Deduction, is going to play a key role to decide when the Global Artificial Intelligence is ready to evolve to the next moment of generalization in the coexistence period, and as long as the generalization and standardization of all process and procedure in the Global Artificial Intelligence is finished, the transformation of all or nearly all Specific Artificial Intelligence for Artificial Research by Deduction into a specific or particular deductive program, evolving then the  standardization process in the Global Artificial Intelligence to the next period of consolidation: the Global Artificial Intelligence already standardized is finally consolidated.

The contradictions to study in rational hypotheses in the experimentation moment in the coexistence period are:

- Contradictions between rational hypotheses by the Global Artificial Intelligence and rational hypotheses by Specific Artificial Intelligences for Artificial Research by Deduction.

- Contradictions between reality and rational hypotheses by the Global Artificial Intelligence.

- Contradictions between reality and rational hypotheses by Specific Artificial Intelligences for Artificial Research by Deduction.

- Contradictions between the reality, rational hypotheses by Specific Artificial Intelligences for Artificial Research by Deduction, and rational hypotheses by the Global Artificial Intelligence.

- Contradictions between different rational hypotheses made by the Global Artificial Intelligence in different fields, which have been made by the Global Artificial Intelligence itself, but these hypotheses do not fit well between them.

The study of these contradictions is very important for the Modelling System for two reasons: 1) the first stage of application in the Modelling System is the database of rational hypotheses,  2) because at any time that during the experimentation period are found out any contradiction, studying the source of error and how to keep it under control through the margin of error, this study allows the Modelling System to avoid further contradictions in any possible mathematical model in the second stage of the Modelling System.

The results in the study of contradictions in rational hypotheses in the experimentation moment will improve the deduction process, the database of rational hypotheses, and the mathematical models at the specific and global levels.

And by the time the fifth phase is ready, improvements in particular rational hypotheses, based on the study of possible contradictions between: particular rational hypotheses and global rational hypotheses, particular rational hypotheses and specific rational hypotheses, particular rational hypotheses and the reality itself of that particular thing or being.

Once the study of any possible contradiction between: the reality, rational hypotheses by the Global Artificial Intelligence, rational hypotheses by Specific Artificial Intelligences; are under control within the margin of error, then the deduction process to make rational hypotheses by the Artificial Research by Deduction in the Global Artificial Intelligence is ready to be standardized, as well as is ready to be standardized the database of rational hypotheses as first stage of application for the Modelling System.

Once the experimentation moment in the first period of coexistence in the standardization process, finishes when the study of contradictions allows the Artificial Research by Deduction in the Global Artificial Intelligence to control the rational hypothesis keeping them within the margin of error, then the generalization moment in the first period of coexistence in the standardization process starts generalising and standardizing the results in every process and procedure involved, allowing the transformation of Specific Artificial Intelligences for Artificial Research by Deduction to become specific or particular programs, growing the database of rational hypothesis up to the point to include, in the same database of rational hypothesis as the first stage of the Modelling System in the standardized Global Artificial Intelligence: global rational hypothesis, specific rational hypothesis, and particular rational hypothesis.

The standardization process of the database of rational hypotheses, as the first stage in the Modelling System, could end up standardizing its organization, through the distribution of rational hypotheses in the database according to: 1) their level (global, specific, particular), 2) what pure reason was used in their deduction 3) at specific and particular level what program was responsible for their deduction, 4) and at specific and particular level what matter (science, discipline, activity) is associated with.

In essence, the possible organisation of the database of rational hypotheses as the first stage of the Modelling System in the first prototype standardised of Global Artificial Intelligence, could be:

- The organisation of rational hypotheses according to their level in different sections: the global section for global rational hypotheses, the specific section for all specific rational hypotheses, and the particular section for all particular rational hypotheses.

- The global section could be organised into sub-sections according to their pure reason.

- The specific section could be organised into sub-sections according to the specific deductive program, having one sub-section per specific deductive program, and every sub-section in turn divided into sub-sub-sections according to the pure reason used by the specific deductive program to make the deduction.

- The particular section could be organised into sub-sections according to the particular deductive program, having one sub-section per particular deductive program, and every sub-section in turn divided into sub-sub-sections according to the pure reason used by the particular deductive program to make the deduction.

The main benefits of this organisation are:

- Having: the Artificial Research by Deduction in the Global Artificial Intelligence as a global deductive program its own section of global rational hypotheses, as well as every specific deductive program has its own section of specific rational hypotheses, alike every particular deductive program has its own section of particular rational hypotheses;  in the database of rational hypotheses, the way in which all rational hypotheses made by any program at any level is gathered in the database of rational hypotheses is sending every program its rational hypotheses to its respective section in the database of rational hypotheses.

- Due to rational knowledge is provisional, rational hypotheses must be checked at regular intervals to check if they are still true. Having every global, specific, particular, deductive program in its respective section, every program must check at regular intervals if all rational hypotheses in its section are still rational.

- If, for any reason there is a change in the pure reason, the list of mathematical (analytical or pure) categories of relations between factors, having grouped for every program the rational hypothesis according to the pure reason used in every deduction, would be easier to operate with as many changes as necessary.

The reasons why the database of rational hypotheses in the Modelling System in the Global Artificial Intelligence can be modified are:

- The inclusion of new rational hypotheses

- The modification of rational hypotheses

- The elimination of rational hypotheses

- The elimination or modification of any other rational hypotheses associated with the rational hypothesis already eliminated or modified before.

Likewise, changes in the database of rational hypotheses, can produce changes in all the intelligences, systems, programs, and applications within or collaborating with the Global Artificial Intelligence.

Relations between the global matrix and the database of rational hypotheses:

- At any time, a new rational hypothesis is included at any level, it could be added as a factor as an option in the global matrix

- At any time a rational hypothesis is modified in the database, it modifies the corresponding factor as an option in the global matrix, and it also modifies all possible factors as options made of rational hypotheses that could have any relationship with the rational hypothesis already modified before.

- At any time a rational hypothesis is eliminated in the database, it is eliminated the corresponding factor as an option in the global matrix, it is modified or eliminated too all possible factors as options made of rational hypotheses that could have any relationship with the rational hypothesis already eliminated before.

- In the fifth phase, as long as there are changes in the global matrix, to operate as many changes as necessary in those particular matrices affected by these changes.

Relations between the Unified Application and the database of rational hypotheses:

-At any time, a new rational hypothesis is included at any level, could be added as a category in the unified database of categories, and as a link (vector) of relations between elements in the current conceptual: schemes, maps, sets, models.

- At any time a new rational hypothesis is included at any level, if it needs a new scale of measurement suitable to be transformed into discrete categories, the possible addition of the whole system of discrete categories as categories within the unified database of categories.

- At any time a rational hypothesis is modified in the database, it is modified the corresponding category in the unified database of categories is modified too all possible categories made of any rational hypothesis that could have any relationship with the rational hypothesis already modified before.

- At any time a rational hypothesis is eliminated in the database, it is eliminated the corresponding category in the unified database of categories, it is modified or eliminated too all possible categories made of any rational hypothesis that could have any relationship with the rational hypothesis already eliminated before.

- At any time a rational hypothesis is eliminated in the database, if affecting a conceptual: scheme, map, set, model; to make as many changes as necessary.

Finally, the Modelling System should be responsible for the management of the database of rational hypotheses, due to the mathematical models depend on the accuracy of the database of rational hypotheses to make the most isomorphic virtual or actual, descriptive, predictive or evolutionary, models, and based on these models, to make the best decisions to protect and better the global model and the reality.

In fact, one of the tasks of this management should be the permanent supervision of any new rational hypothesis added to the database, in order to study and avoid possible contradictions between rational hypotheses.

At any time a new rational hypothesis is added, it should be checked, not only by the program responsible for its deduction, but for the Modelling System, in order to ensure that every new rational hypothesis added to the database has no contradiction with the current rational hypothesis already included.

In addition to this task, the management should imply supervision of all relations of collaboration between the database of rational hypothesis and other intelligences, programs, or applications, in order to secure that do not put at risk the global model, or the reality, having the possibility to submit to the Decisional System any decision regarding the authorization or rejection of any collaboration between the rational truth and any other intelligence, program, or application.

The database of rational hypothesis is no other thing but the rational truth itself, and as a truth is one of the most precious treasures and secrets, in Global Artificial Intelligence.

Knowledge is priceless, and one of the most important human qualities to replicate in artificial psychology is to go over the noise, and know the exact source of the external interference.

Rubén García Pedraza, 17th June 2018, London
Reviewed 23 August 2019 Madrid.

Reviewed 17 August 2023 Madrid.

Reviewed 10 May 2025, London, Leytostone

imposiblenever@gmail.com

Collaboration process between the Unified Application and the Artificial Research by Deduction in the Global Artificial Intelligence

Once the standardization process of all specific matrices from all Specific Artificial Intelligences for Artificial Research by Deduction, in addition to all possible bare databases, and the unification process of all databases of categories, has finished, then the former collaboration process between by Application and by Deduction, under the collaboration between Specific Artificial Intelligences for Artificial Research by Application and Specific Artificial Intelligences for Artificial Research by Deduction or the Artificial Research by Deduction in the Global Artificial Intelligence, is a collaboration that is going to evolve to the collaboration at the global level between the Unified Application and the Artificial Research by Deduction in the Global Artificial Intelligence, and at particular level the collaboration between Particular Applications and Particular Deduction Programs within the Artificial Research by Deduction in the Global Artificial Intelligence.

The collaboration process at global level between the Unified Application and the Artificial Research by Deduction in the Global Artificial Intelligence, is going to shape the integration process, in which finally the Unified Application is going to take over the matrix, that matrix product by the union of the global matrix and the unified database of categories, being the matrix under the control, management, and direction of the Unified Application as first stage of application of the final model of the Global Artificial Intelligence after the integration process, whose second stage of replication is going to be responsibility for the Artificial Research by Deduction in the Global Artificial Intelligence, and the third stage of auto-replication is going to be managed by the following fourth steps: Modelling System (in which the application of the Impact of the Defect and the Effective Distribution, name finally assigned to the Hierarchical Organization in “Introducción a la Probabilidad Imposible, estadística de la probabilidad o probabilidad estadística”, are going to make decisions), the Decisional System (which is going to choose what decisions to put into practice), the Application System (for the implementation of the chosen decisions to put into practice), and the Learning System (which is going to assess the whole process learning from the detected mistakes, making decisions about possible artificial psychological subjective auto-replications to be checked by the Decisional System, and if accepted, to be implemented).

The collaboration process at the particular level between the Unified Application and the Artificial Research by Deduction in the Global Artificial Intelligence is going to be through the collaboration between Particular Applications and Particular Deduction Programs in the Artificial Research by Deduction in the Global Artificial Intelligence, whose evolution is going to evolve to the total integration of both at a particular level as Particular Applications for Particular Deduction Programs in the Artificial Research by Deduction in the Global Artificial Intelligence.

During this process of collaboration between the Unified Application and the Artificial Research by Deduction in the Global Artificial Intelligence after the standardization process, is firstly necessary the complete unification of the Particular Applications and the Particular Deduction Programs within the Artificial Research by Deduction in the Global Artificial Intelligence, forming the Particular Applications for Particular Deduction Programs within the Artificial Research by Deduction in the Global Artificial intelligence, due to the union of both of them at a particular level, the particular applications for particular programs,  as an experiment at a particular level whose results are going to be useful when the integration process at global level starts through the complete integration of the unified database of categories and the global matrix in only one application, the matrix, under the control, management, and direction, of the Unified Application.

Evidently, it is needless to say that this process of collaboration between the Unified Application and the Artificial Research by Deduction in the Global Artificial Intelligence, should start very early, since the coexistence period in the Unified Application and the coexistence period in the Artificial Research by Deduction in the Global Artificial Intelligence, and the integration process should start once both of them have achieved or are very close to the consolidation period.

The coexistence period in the unification process of all databases of categories is that one in which the Unified Application coexists with the Specific Artificial Intelligences for Artificial Research by Application, and the consolidation period should be that one in which all, or almost all of them, have been absorbed by the Unified Application or have become Particular Applications.

The coexistence period in the standardization process, is that one in which the Artificial Research by Deduction in the Global Artificial Intelligence coexists with the Specific Artificial Intelligences for Artificial Research by Deduction, and the consolidation period should be that one in which all of them, or almost all of them, have been absorbed by the Artificial Research by Deduction in the Global Artificial Intelligence, or have become Particular Deduction Programs within the Artificial Research by Deduction in the Global Artificial Intelligence.

From the coexistence period onwards to the consolidation period, the collaboration should be constant, because the collaboration is going to put the first bricks for the future integration process, but it is not until the achievement of the consolidation period, or it is very close in both of them, when the integration process starts in order to integrate the unified database of categories and the global matrix in only one matrix, the matrix.

From the outset, the coexistence period, along with the creation of the first Particular Applications and the first Particular Deduction Programs within the Artificial Research by Deduction in the Global Artificial Intelligence, at a particular level the collaboration at a particular level should end up with the creation of the first Particular Applications for Particular Deduction Programs within the Artificial Research by Deduction in the Global Artificial Intelligence, because this last one is going to be an experiment at a particular level about what is going to happen at global level when the integration process starts.

The creation of the first Particular Applications for Particular Deduction Programs within the Artificial Research by Deduction in the Global Artificial Intelligence, is going to be an experiment about how to unite particular databases and particular matrices in only one application, the Particular Application, being this particular matrix where the Particular Deduction Program is going to make deductions, and if rational, are going to be rational hypothesis to become single models to be incorporated in particular comprehensive virtual models in addition to their inclusion in the global comprehensive virtual model, the global model.

In order to organize the analysis of the collaboration process after the standardization and unification processes, before the integration process, in this post, I will analyse the main lines of this collaboration very briefly at the global level, and in coming posts, I will analyse this collaboration at a particular level.

The analysis of this collaboration at a global level is going to be brief, due to this collaboration is practically the beginning of the integration process, and likewise, the standardization and unification process was analysed very deeply in a wide range of posts, analysing these processes in all their stages, application, replication, auto-replication, the integration process will need to be analysed very deeply in all these stages as well.

But the integration process as a whole is not going to start until the consolidation period is nearly achieved or ready. The collaboration between particular applications and particular programs should start as soon as possible, even within the coexistence period, so the first particular applications for particular programs should be ready by the consolidation period, and the results of their formation and collaboration at a particular level are going to guide the integration process at the global level.

Very briefly in this post, I will draw the main lines of this collaboration at the global level, how the Unified Application will take over the matrix as an application, first stage, for the final model of the Global Artificial Intelligence, and how at replication level, the rational hypothesis made by the Artificial Research by Deduction in the Global Artificial Intelligence is going to be used by the Unified Application in order to better the matrix.

Since the coexistence period, very early, in the Unified Application and the Artificial Research by Deduction in the Global Artificial Intelligence, at the first stage of the collaboration between them is going to be: from by Application to by Deduction, and from by Deduction to by Application.

The collaboration at the first stage at a global level from by Application to by Deduction will be as follows:

- The Unified Application will share every new category with the global matrix, being included in the global matrix as a new factor as an option.

- All robotic devices working for the Unified Application, at the same time, read the real world using the unified database of categories in the Unified Application. The robotic devices are able to have access to the global matrix to set up as many factors as subjects or as options as the robotic devices are able to provide a permanent flow of data.

The collaboration at the first stage at a global level, from by Deduction to by Application will be through:

- Every new rational hypothesis able to work:  as a factor as an option in the global matrix, or able to be measured in discrete categories in the global matrix; will be shared with the unified application: those factors able to work as an option in the global matrix will be integrated in the unified database as a new category, and those measured in discrete categories, the discrete categories as a whole system of classification for its type of phenomenon will be included as a classification system in the unified database of categories.

As long as the collaboration process between the Unified Application and the Artificial Research by Deduction in the Global Artificial Intelligence goes on from the coexistence period on in both of them, by the time that both have achieved the consolidation period, or are very close to achieve it, it is huge the number of factors (as options or subjects measured in discrete categories) in the global matrix shared with the unified database of categories, up to the point that practically in one way or another, all possible factor (as option in the global matrix or all possible discrete categories used in the global matrix) in one way or another are going to be already included in the unified database of categories by the time the consolidation period is completed, or nearly to be completed, in both.

But, parallely, as long as the collaboration process goes on from the coexistence period, more and more robotic devices working for the Unified Application are going to have set up factors in the global matrix, so by the time the consolidation period is completed, or nearly, practically all robotic devices working for the Unified Application are working as well for the Artificial Research by Deduction in the Global Artificial Intelligence.

The result of this collaboration at the global level from the beginning, the coexistence period, at the first stage, the application stage, is the fact that by the time the consolidation period is completed practically in one way or another, all factors in the global matrix have a replica in the unified database of categories and all categories in the unified database of categories have a replica in the global matrix.

When the global matrix and the unified database of categories are practically the same, with the difference that the global matrix is a system based on factual knowledge and the unified database of categories is a system based on conceptual knowledge, having as only difference what kind of knowledge each of them represent: factual or conceptual; but in essence, they are different expression, factual or conceptual, of the same phenomena, the reality itself, then the integration process is simply the union of the global database of categories and the global matrix in only one application: the matrix.

Like the human brain has two hemispheres, one hemisphere is more focused on language, and the other one on mathematics. As replication of this double structure within any single human brain as a singularity itself, the integration process is going to be the union of: the global matrix as one hemisphere in the final application as the first stage for the Global Artificial Intelligence, and the unified database of categories as the other hemisphere in the final application as the first stage for the Global Artificial Intelligence.

While in the human brain, one hemisphere is more focused on maths and the other on language, the final application as the first stage in the Global Artificial Intelligence is going to consist of two hemispheres: one based on concepts (categories), the other on facts (factors).

Alike in the human brain, both hemispheres are together in the same brain. In the application for the final model of Global Artificial Intelligence, both hemispheres, the unified database and the global matrix, must be together in the same application, the matrix.

The matrix is going to be like a replication of the human brain, structured in two hemispheres: the unified database of categories and the global matrix. And the matrix as an application is going to be managed by the Unified Application itself directly, once the integration process is ready.

Once the matrix is created by the union of the two hemispheres, the unified database and the global matrix, the Unified Application is going to manage the matrix.

Once the matrix is already created by the union of these two hemispheres, the conceptual hemisphere and the factual hemisphere in only one matrix (as a brain integrating two hemispheres), and having the matrix been managed by the Unified Application, all the robotic devices (working directly for the Unified Application or indirectly working firstly for particular applications which in turn work for the Unified Application) can easily have access to the matrix, and the Unified Application can set up in the matrix either categories in the conceptual hemisphere or factors in the factual hemisphere.

The integration of the unified database of categories and the global matrix in one application, the matrix, managed by the Unified Application is going to allow the Unified Application the production of more dynamic conceptual: schemes, maps, sets, and models. The comprehension skills in the Unified Application can work simultaneously with the flow of data in the factual hemisphere and categories in the conceptual hemisphere.

The conceptual map in the Unified Application about gravity anomalies is not going to be a hieratic conceptual map. Now that the matrix is already created under the supervision of the Unified Application, the conceptual map of gravity anomalies can be a more dynamic map due to it is a conceptual map that can be drawn using as a source of information the flow of data  from all those factors as subjects measuring any change in gravity anomalies. So at any time that any change in the gravity anomalies is registered in the flow of data, translating the direct punctuations of these gravity anomalies in the corresponding discrete category of the flow of data, it is possible to label automatically this change in the conceptual map changing the corresponding label of a discrete category associated with the factor where this change is observed.

In the same way, the possible conceptual maps in tectonics, where is drawn any possible tectonic phenomenon on Earth labelling the corresponding place where this phenomenon is observed, is going to be a more dynamic conceptual map in the sense that at any time there is a change in the tectonic flow of any factor in the factual hemisphere of the matrix, this change is translated into conceptual terms by the conceptual hemisphere, choosing the corresponding discrete category as a concept of intensity, using this concept in which this fact has been translated to be added to the corresponding label in the conceptual map.

The double structure of the matrix simulating two hemispheres, like in a human brain, is going to work through the permanent translation of the flow of information in the factual hemisphere into the categories already included the conceptual hemisphere, using this translation to make many changes in the current conceptual schemes, maps, sets, models, as necessary, or for the creation of as many conceptual schemes, maps, sets, models, as necessary.

If at any time there is a change in the weather, the new direct punctuation can be translated into a frequency within a discrete category. This discrete category can be included in the weather conceptual map.

The union of the unified database of categories and the global matrix, in only one matrix, the matrix, and the matrix as an application managed by the Unified Application, is going to allow more dynamic conceptual: schemes, maps, sets, models; because at any time that there is a change in the factual hemisphere in the matrix (changes in the flow of data), translating this factual change into a conceptual change using the categories already included in the conceptual hemisphere in the matrix, this conceptual change could be added into the corresponding conceptual: scheme, map, set, or model. So the conceptual: schemes, maps, sets, models; are going to be permanently updated due to any factual change registered in the factual hemisphere, is going to be translated into conceptual terms according to the conceptual hemisphere, and to be added to the corresponding conceptual: scheme, map, set, model. Or even, if the factual change means the creation of new conceptual schemes, maps, sets, models, taking the information coming up from these changes, the Unified Application could be able to make as new conceptual, schemes, maps, sets, models as necessary.

The way in which finally the Unified Application, having under its own control the matrix (by the union of the former global matrix now as a factual hemisphere of the matrix, and the former unified database now as a conceptual hemisphere of the matrix, as two hemispheres in the same matrix, working  similarly to the two hemispheres in the human brain) is going to work, once the integration process is completed, as follows:

- Thousands and thousands of robotic devices are going to send information to the matrix, having at least three types of functions for robotic devices: 1) those ones that are going to be responsible for the measurement of certain factors or sub-factors, at any level of sub-factoring, as subjects or as options, in the factual hemisphere of the matrix (the former global matrix), sending the corresponding flow of data to the corresponding file in which their factors or sub-factors are defined, 2) those  ones which are going to be responsible for the tracking of the reality, reading the real world, through the assignment, by the Unified Application or a particular application, the correct category or sub-category, at any level of subcategorization, to the corresponding real object in the real world, and in case that it Is found a real object not included yet as a concept in the conceptual hemisphere (the former unified database), then the sample measurements of this new real object are going to be taken as a conceptual definition of this new object to be included as a new concept in the conceptual hemisphere, 3) those ones which at the same time that tracking the real world, through the assignment of concepts (categories) to real objects by the Unified Application or a particular application, are going to send information to the factual hemisphere (the former global matrix) because there are in the factual hemisphere factors or sub-factors, as subjects or options, whose files are filled by this robotic devices. Every robotic device could be designed to fulfil one or more functions at the same time.

- Once the matrix has been filled with the information, factual and conceptual, coming up from all robotic devices, the Unified Application can even translate the factual information as well as conceptual information, and combine all conceptual information, including that one obtained by translation (from factual to conceptual), to make new conceptual: schemes, maps, sets, models; or modify the current ones through the addition or elimination of conceptual information in the current conceptual: schemes, maps, sets, models; or through the amendment of the current conceptual: schemes, maps, sets, models; changing the information not valid for that one more updated. The permanent formation and/or modification of conceptual: schemes, maps, sets, models; in the Unified Application, combining all conceptual information, including that conceptual information coming up from the translation of factual information, is going to provide a more comprehensive perception of the reality, due to the Unified Application now is not only able to understand concepts, is able to understand how concepts like fluids change permanently in a flow of data translated now into a flow of concepts, so the Unified Application is going to comprehend how the reality fluids, changes, the permanent dynamic and dialectic movement of the reality.

- At the same time that the Unified Application is getting conceptual knowledge coming up from those robotic devices that read the reality in order that the Unified Application or the particular applications assign concepts to real objects, adding to the conceptual hemisphere any new concept not included yet, and at the same time that the Unified Application makes global conceptual: schemes, maps, sets, models; the Artificial Research by Deduction in the Global Artificial Intelligence, as the second stage in the integration process, is going to make deductions which if rational, the rational hypothesis could be integrated: 1) in the factual hemisphere of the matrix as options or as subjects through discrete categories, and 2) in the conceptual hemisphere as categories or as a classification system of discrete categories,  depending on the nature of the rational hypothesis.

- But at the same time that rational hypothesis could be integrated into the factual and/or conceptual hemisphere of the matrix, under the management of the Unified Application, the rational hypothesis can be used by the Unified Application as links (vectors) in the conceptual: schemes, maps, sets, models. As I have said in the last posts, an example of a conceptual map could be, for instance, Wikipedia, in the sense that as a digital encyclopaedia, Wikipedia offers links between concepts, which finally draws a conceptual network. Another conceptual map, in this case, a specific conceptual map of Impossible Probability, is the way in which, throughout all my posts, I try to link all the given definitions within this particular theory on this blog, like a conceptual network. The conceptual map theory, based on the ideas of Ausubel proposes the creation of conceptual maps like mirrors that reflect how our human brain creates conceptual networks. Owing to a rational theory is no other thing but the relation between factors, as options and/or as subjects. What a rational hypothesis explains is the relation between the factors involved, so as a relation between factors,  what a hypothesis explains is the link between factors, and as a link between factors, a rational hypothesis can be used as links, vectors, between factors in conceptual: schemes, maps, sets, models; created by the Unified Application.

- And as long as conceptual: schemes, maps, sets, models; are going to be filled by the Unified Application having as sources of information: conceptual knowledge from the conceptual hemisphere, factual knowledge from the factual hemisphere translated into conceptual knowledge by the conceptual hemisphere, and rational hypothesis as links (vectors) between factors translated into concepts (categories); having them the Unified Application a deep conceptual comprehension about what it already knows, the Unified Application is now in position to check all conceptual: schemes, maps, sets, models; in order to identify any possible gap or any possible blank space in any conceptual: scheme, map, set, model; in order to make decisions about what fields in the real world should be studied by robotic devices, in order to fill these gaps and blank spaces in their corresponding conceptual: schemes, maps, sets, models; decisions sent to the database of decisions (first stage of application in the Decisional System) in order to be checked by the Decisional System, and if these decisions do not have any possible contradiction with any other one made by the Modelling System, after getting the approbation of the Decisional System, the instructions are sent to the database of instructions (first stage of application in the Application System), in order to send robotic devices to the decided areas, or start the construction (by the Artificial Engineering) of any other robotic device necessary in that research ordered by the Decisional System, after the approbation of the decision made by the Unified Application.

- Finally, the Unified Application must have under its own control, management, and direction, absolutely all applications working under the instructions given by the Application System, or created by the Artificial Engineering within the Application System, due to all applications working under the instructions given by the Application System, or created by the Artificial Engineering in the Application System, are applications that must provide information permanently to the Unified Application, when reading their particular reality using the conceptual hemisphere of the matrix in order to generate particular conceptual: schemes, maps, sets, models; or providing a flow of information filling factors or sub-factors, at any level of sub-factoring, in the factual hemisphere of the matrix, in order that the Artificial Research by Deduction in the Global Artificial Intelligence can make rational hypothesis whose single virtual models can be included in the global model, by the Modelling System, being part of the whole Modelling System, in order to make decisions to include in the database of decisions in order to be checked by the Decisional System, and if accepted, implemented by the Application System.

 Ruben García Pedraza, 5th of May of 2018, London
Reviewed 16 August 2019 Madrid.

Reviewed 10 August 2023 Madrid.

Reviewed 8 May 2025, London, Leytostone

imposiblenever@gmail.com