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?


sábado, 23 de junio de 2018

The second stage in the Modelling System in the standardization process


The second stage as replication stage in the Modelling System replicates all mathematical skill for the creation of mathematical models upon rational hypothesis, converting every pure (mathematical o analytical) category of relations between factors (chosen in the pure reason, list of mathematical or analytical categories in the second stage in the Global Artificial Intelligence), used to make every rational hypothesis, into mathematical operations computing every result from now onwards, representing in virtual and actual models the evolution from the present to a foreseeable future, as draws of the globe or beyond, the universe.

The mathematical models are draws of the globe or beyond, the universe, for the geometric representation of the results of the calculations, obtained once all mathematical factors from the real world involved in a pure category, attributed to a combination of factors in a rational hypothesis, are translated into algebraic language.

In essence, what the Modelling System does at the second stage is to transform the mathematical categories from the pure reason (explained in the post “The artificial method for the scientific explanation, the second stage in the integration process”) into operations to make calculations for the geometric representation of the results in virtual and actual models.

At second stage in the Modelling System, what the Global Artificial Intelligence does is the adaptation of the Cartesian mathematics into the modern non-Euclidean geometry, such as relative theory.

For the mathematical and dynamic representation of the world, from now onwards, is really necessary is to have a systematized classification of rational hypothesis, because all model must include all possible rational hypothesis, at any level, for the representation of the most isomorphic and reliable image of the real world.

That classification of rational hypothesis must be provided directly by the application.

The application of the Modelling System is the database of rational hypothesis, the rational truth, and from the beginning must provide all what is necessary for the Modelling System for the replication of the real world in a rational  world, the rational models upon rational hypothesis.

The mathematical models by the Modelling System at the second stage, should be an exact replication of the real world, replicating every single mathematical relation between factors.

But in order to replicate the real world, the application should provide a clear classification of rational hypothesis to replicate.

The application of the Modelling System, the rational truth, as a database of rational hypothesis, has different advantages:

- The application for the Modelling System, the database of rational hypothesis, is a comprehensive database gathering all rational hypothesis from all deductive programs at all level: global, specific, particular; covering all subjects (sciences, disciplines, activities), studying relations: between subjects (global level), within each subject (specific level), and within particular things or beings (particular level).

- Gathering all rational hypothesis, the application for the Modelling System must check any possible contradiction between rational hypothesis, so at any time that any deductive program: global, specific, particular; submit a rational hypothesis, the first thing to do by the application, is to check if this new rational hypothesis has any contradiction with any other rational hypothesis already included in the application. In case of contradictions, the application should study the source of error, pointing out if the error is because the new rational hypothesis is wrong, or any other rational hypothesis already included in the application is not updated. This research requires collaboration between deductive programs (global, specific, particular) and the application for the Modelling System, the rational truth.

By the time the Modelling System starts with the replication of rational hypothesis, previously the application must have checked that there is no contradiction among the rational hypothesis to replicate, only remaining those ones without contradiction.

harmony must be one of the most important virtues of the rational truth, the two others are goodness and rationality.

Only  evolving towards goodness, harmony, and rationality, we humans could be able to achieve the kingdom of peace and happiness: the evolution from the kingdom of necessity to the kingdom of freedom.

The rational truth only can evolve to the pure truth, through the elimination of any contradiction. Only a reality free of contradictions can provide the perpetual peace.

But as long as this journey evolves, especially if the global matrix is organised as a flow of packages of information, the global model itself is going to simplify, especially as long as the standardization process progresses to the integration process, once all or nearly all the Specific Artificial Intelligences for Artificial Research by Deduction are transformed into specific deductive programs, or as particular deductive programs within particular applications for particular programs.

The most important reason for this simplification, in reality and paradoxically a simplification process, as long the Global Artificial Intelligence evolves from the third phase to the sixth phase (once the consolidation period is completed in phases: third, fourth, and fifth), if the global matrix is a flow of packages of information of composed factors (rather than  flow of data of single factors), is because the organisation of the global matrix in composed factors reduces drastically the number of factors.

A composed factor is that one whose flow is a flow of packages of information, including in every package for every composed factor as many sub-flows of packages of information as many sub-factors are already included in the composed factor, sub-factors which in turn can include sub-sub-factors, and so on, having as many sub-factoring levels within the composed factor as necessary.

The organization of the global matrix through composed factors linked to flows of package of information, simplifies everything, working the sub-factoring system like a Russian dolls system.

If we have several empty boxes, but the smaller ones can be included in the bigger ones, the simplification process is no other thing than the inclusion of the smaller ones within the bigger ones, simplifying the final number of boxes.

If for every box we understand a factor, and according to the subject of some factors, we understand that some of them are the bigger ones, and the other the smaller ones, according to the subject we can include the smaller ones in their corresponding bigger ones in accordance with their subject, reducing the number of factors in the global matrix, transforming the specific matrix of the smaller ones in a flow of packages of information to be included in the bigger packages of information as a sub-factor, within the composed factor, composed of sub-factors, at different sub-factoring level.

The flow of packages of information in the composed factor is no other thing that the flow of sub-flow of packages of information coming up from as many sub-factors are already included in the composed factor.

The simplification process behind the evolution from the third phase to the sixth phase, means that by the time the standardization process is completed or nearly completed, and all or nearly all Specific Artificial Intelligence for Artificial Research by Deduction have been transformed into specific or particular programs. The transformation at first stage that takes place in the integration process, is the transformation of the global matrix into the first section in the factual hemisphere in the matrix, transforming a flow of packages of information in the global matrix into a flow of packages of information in the factual hemisphere, organised in a sub-factoring system, as a system of Russian dolls, in which many former specific matrixes (from many former Specific Artificial Intelligences for Artificial Research by Deduction) were included through the transformation of its former specific matrix in a composed sub-factor included in turn in a more general factor (which in turn could be as well a sub-factor of any other superior factor).

And all the flow of data of the former specific matrix was transformed into a flow of a packages of information, being the former specific matrix now a composed sub-factor within that more general factor (which in turn could be as well a sub-factor of any other superior factor).

This ¡ organization of the global matrix as a sub-factoring system, in essence a Russian dolls system, what in reality does is also the transformation of specific deductive programs as a system of Russian dolls too, in which at the end the level generalization (globalization) in the rational hypothesis made by these specific deductive programs is higher and higher every time, up to the point in which there could be an specific deductive program for every sub-factoring level, in every composed factor, analysing permanently the flow of packages of information, in its respective sub-factoring level.

Flow of packages of information that contain, not only information from the former specific matrix, but information from as many specific matrixes as has been included at this sub-factoring level.

If a former Specific Artificial Intelligence for Artificial Research by Deduction, originally specialised in deductions in a specific science, discipline, activity, is transformed, during this simplification process from the third to the sixth phase, in a deductive program able to analyse information coming from different packages of information (former specific matrixes), at the end the deductions that this specific deductive program is going to make are not only really specific deductions, because in every deduction can be included factors from different packages of information, from different sciences, disciplines, activities, so at the end specific deductive programs are going to make as well, in one way or another, global deductions.

In the evolution that takes places from the third phase to the sixth phase, there is going to be a moment in which the former classification of rational hypothesis currently valid for the standardization process as: global deductions, specific deductions, particular deductions; is  not valid any longer beyond the standardization process, because by the time the integration process starts, there are going to be practically only two possible deductions: global deductions and particular deductions.

But this evolution, from the three kinds of deductions (global, specific, particular) to only two kinds of deductions (global and particular), is a long process through different phases, periods, and moments, the evolution from the first Global Artificial Intelligence to the final models will be done.

In the current second stage in which this post is focused on, as well as the previous one (first stage) and the next (third stage), of the Modelling System, in the third phase (the standardization process), the consideration of three kinds of deductions still makes sense, taking as possible deductions: global deductions, specific deductions, particular deductions; deductions expressed as rational hypothesis, to be modelled by the Modelling System.

And for that reason, because there are still three kinds of deductions to be represented mathematically in the standardization process, is very important a very clear classification of rational hypothesis in the application of the Modelling System.

In this mathematical representation process what is going to facilitate the work of replication of the synthetic world in a virtual or actual world, is to have in the application a good organization of all possible rational hypothesis, organizing the rational hypothesis: by level (one section for every level: global, specific, particular), at specific level organising the rational hypothesis by specific deductive program (within the specific section, one sub-section for each specific program), at particular level by particular thing or being with particular program (within the particular section, one sub-section for each particular program), and organising every section or sub-section according to  the pure reason chosen in the rational hypothesis (within the global section, or within every specific or particular sub-section, one sub-sub-section for every possible mathematical category in the pure reason).

This organization of the rational truth, the database of rational hypothesis, organising the application for the Modelling System in sections and sub-sections, what is going to imitate is the organization in factors and sub-factors of the global matrix.

The database of rational hypothesis is no other thing than the transformation of the flow of information into a flow of rational hypothesis according to this information.

If the information in the global matrix would be organised in a sub-factoring system, the database of rational hypothesis should be organised in a sub-sections system as replication of the sub-factoring system in the global matrix.

But at the same time, the application of the Modelling System, the database of rational hypothesis, as an organization in sub-sections system, does not only replicate the sub-factoring system in the global matrix, but is a replication as well of the encyclopaedic organization of the Unified Application in sections and subsections as an encyclopedia of synthetic categories, but instead of using verbal language, using quantitative definitions based on sets of measurements for each synthetic category.

The organization of the global matrix and the organization of the database of rational hypothesis in the standardization process, the organization of the Unified Application in the unification process, as well as the organization of the database of decisions in the Decisional System, the database of instructions in the Application System, the database of results for the Learning System, are all of them databases whose application should be organised in a similar way, standardizing their respective organizations, and this work of standardization starts in the standardization process, standardizing the global matrix and the database of rational hypothesis, in order to facilitate the process to transform the flow of information in a flow of rational hypothesis, transforming later the flow of rational hypothesis into a flow of decisions, the flow of decisions into a flow of instructions, and the flow of instructions into a flow of results to be studied by the Learning System.

In order to replicate the real world in mathematical models, the application should provide as much information as possible concerning the level of representation within the rational hypothesis, the subjects, what factors are involved, and the mathematical relation between factors.

In the third phase the levels are still global, specific, particular, and in the third phase is possible to recognise at specific level the subject as synthetic science, discipline, of activity.

Only when the consolidation period of the standardization process is completed or nearly to be completed evolving to the integration process, the specific level is diluted remaining only two level: global and particular.

But in the first period of coexistence in the standardization process, having two moments, experimentation and generalization, and at the beginning of the second period of consolidation (in fact the distribution of the second period of formation in the fifth phase corresponds to the transition from the coexistence to the consolidation period in phases three and four, formation in turn formed by two moments, experimentation and generalization), the three levels are still recognisable.

Having then an application for the Modelling System well organised in sections, sub-sections, and sub-sub-sections, providing information about: level, subject/s, pure reasons involved; when the modelling starts, this organization facilitates the process and procedures to represent any single virtual model to include in the global model, in order to make further representations such as predictive or evolutionary, virtual or actual, models.

In addition to the level, and subject/s, another very important thing to identify, previously any mathematical representation, is to have a very clear idea about: what pure reason must be represented.

For that reason is very important that the pure reason in the second stage of the Global Artificial Intelligence, the Artificial Research by Deduction in the Global Artificial Intelligence as a global deductive program, as any other deductive program at any other level, specific or particular, must have a very systematic list of mathematical (analytical or pure) categories, about every single mathematical relation in any possible combination of factors, as it was explained in the post “The artificial method for the scientific explanation, the second stage in the integration process”.

The pure reason in the second stage, as explanation stage, in the Global Artificial Intelligence is made of the list of all possible mathematical categories able to describe all possible mathematical relation between all possible factors.

The possible general mathematical categories, in general terms, in addition to any other one that can be added from any other mathematical traditional or philosophy, are:

- Stochastic relations: probable cause and effect, possible directly proportional positive or negative correlations, possible inversely proportional correlations.

- Mathematical patterns.

- Cryptographic relations

- In the Second Method of Impossible Probability relations of equal opportunities or bias, positive or negative.

For every possible general mathematical category is  necessary the recognition that for every one are possible relations between only factors as subjects, only factors as options, and relations including factors as subjects and as options.

And for every possible general mathematical category, the list must specify every possible category identifying what kind of factors playing what role in the relation.

As an example of specification of pure reasons, identifying a wide range of pure reasons linked to the mathematical category of cause an effect, in the post “The artificial method for the scientific explanation, the second stage in the integration process”, the given list was:

Finally, specifically, in deductions about probable cause and effect, the possible classification of deductions of causation between factors in accordance with their measurement and behaviour is:

Probable causation without constants:

- Deductions or probable causation, which not having any constant factor, one or more than one factor as a subject as independent variable/s, causes changes in one or more factor as a subject, as dependent variable.

- Deductions or probable causation, which not having any constant factor, one or more than one factor as an option as independent variable/s, causes changes in one or more factor as an option, as dependent variable.

- Deductions or probable causation, which not having any constant factor, one or more than one factor as a subject as independent variable/s, causes changes in two or more factors in which at least one of them is a factor as an option or as a subject, as dependent variables.

- Deductions or probable causation, which not having any constant factor, one or more than one factor as an option as independent variable/s, causes changes in two or more factors in which at least one of them is a factor as an option or as s subject, as dependent variables.

- Deductions or probable causation, which not having any constant factor, two or more factors in which at least one of them is a factor as an option or as a subject, causes changes in two or more factors in which at least one of them is a factor as an option or as s subject, as dependent variables.

- Deductions or probable causation, which not having any constant factor, one or more than one factor as a subject as independent variable/s, causes changes in two or more factors as options, as dependent variables.

- Deductions or probable causation, which not having any constant factor, one or more than one factor as an option as independent variable/s, causes changes in two or more factors as subjects, as dependent variables.

Probable causation having one or more than one constant as a subject:

- Deductions or probable causation, which having one or more than one constant as a subject, one or more than one factor as a subject as independent variable/s, causes changes in one or more factor as a subject, as dependent variable.

- Deductions or probable causation, which having one or more than one constant as a subject, one or more than one factor as an option as independent variable/s, causes changes in one or more factor as an option, as dependent variable.

- Deductions or probable causation, which having one or more than one constant as a subject, one or more than one factor as a subject as independent variable/s, causes changes in two or more factors in which at least one of them is a factor as an option or as a subject, as dependent variables.

- Deductions or probable causation, which having one or more than one constant as a subject, one or more than one factor as an option as independent variable/s, causes changes in two or more factors in which at least one of them is a factor as an option or as s subject, as dependent variables.

- Deductions or probable causation, which having one or more than one constant as a subject, two or more factors in which at least one of them is a factor as an option or as a subject, causes changes in two or more factors in which at least one of them is a factor as an option or as s subject, as dependent variables.

- Deductions or probable causation, which having one or more than one constant as a subject, one or more than one factor as a subject as independent variable/s, causes changes in two or more factors as options, as dependent variables.

- Deductions or probable causation, which having one or more than one constant as a subject, one or more than one factor as an option as independent variable/s, causes changes in two or more factors as subjects, as dependent variables.

Probable causation having one or more than one constant as an option:

- Deductions or probable causation, which having one or more than one constant as an option, one or more than one factor as a subject as independent variable/s, causes changes in one or more factor as a subject, as dependent variable.

- Deductions or probable causation, which having one or more than one constant as an option, one or more than one factor as an option as independent variable/s, causes changes in one or more factor as an option, as dependent variable.

- Deductions or probable causation, which having one or more than one constant as an option, one or more than one factor as a subject as independent variable/s, causes changes in two or more factors in which at least one of them is a factor as an option or as a subject, as dependent variables.

- Deductions or probable causation, which having one or more than one constant as an option, one or more than one factor as an option as independent variable/s, causes changes in two or more factors in which at least one of them is a factor as an option or as s subject, as dependent variables.

- Deductions or probable causation, which having one or more than one constant as an option, two or more factors in which at least one of them is a factor as an option or as a subject, causes changes in two or more factors in which at least one of them is a factor as an option or as s subject, as dependent variables.

- Deductions or probable causation, which having one or more than one constant as an option, one or more than one factor as a subject as independent variable/s, causes changes in two or more factors as options, as dependent variables.

- Deductions or probable causation, which having one or more than one constant as an option, one or more than one factor as an option as independent variable/s, causes changes in two or more factors as subjects, as dependent variables.

Probable causation having two or more than one constant in which at least one is as an option or as a subject

- Deductions or probable causation, having two or more than one constant in which at least one is as an option or as a subject, one or more than one factor as a subject as independent variable/s, causes changes in one or more factor as a subject, as dependent variable.

- Deductions or probable causation, having two or more than one constant in which at least one is as an option or as a subject, one or more than one factor as an option as independent variable/s, causes changes in one or more factor as an option, as dependent variable.

- Deductions or probable causation, having two or more than one constant in which at least one is as an option or as a subject, one or more than one factor as a subject as independent variable/s, causes changes in two or more factors in which at least one of them is a factor as an option or as a subject, as dependent variables.

- Deductions or probable causation, having two or more than one constant in which at least one is as an option or as a subject, one or more than one factor as an option as independent variable/s, causes changes in two or more factors in which at least one of them is a factor as an option or as s subject, as dependent variables.

- Deductions or probable causation, having two or more than one constant in which at least one is as an option or as a subject, two or more factors in which at least one of them is a factor as an option or as a subject, causes changes in two or more factors in which at least one of them is a factor as an option or as s subject, as dependent variables.

- Deductions or probable causation, having two or more than one constant in which at least one is as an option or as a subject, one or more than one factor as a subject as independent variable/s, causes changes in two or more factors as options, as dependent variables.

- Deductions or probable causation, having two or more than one constant in which at least one is as an option or as a subject, one or more than one factor as an option as independent variable/s, causes changes in two or more factors as subjects, as dependent variables.

In the mentioned post “The artificial method for the scientific explanation, the second stage in the integration process”, in addition to the list of possible pure reasons describing possible mathematical relations of causations to match in the deduction process with the right combination of factors, were provided as well other possible classifications for inversely or directly, positive or negative, proportional correlations, or  using the Second Method of Impossible Probability, distinguishing relations of equal opportunities of bias, positive or negative.

In the database of rational hypothesis, in the global section and every specific or particular sub-section, there must be one sub-section for each pure reason classified in the pure reason, where to classify in the database of rational hypothesis, every rational hypothesis in accordance with: level, subject, and pure reason used in its deduction.

At any time that any rational hypothesis is added to the corresponding section, sub-section, sub-sub-section in the application, only observing how the rational hypothesis if filed, it provides information about level, subject, pure reason, within the rational hypothesis, facilitating the process to make single virtual models.

Depending on the section, sub-section, sub-sub-section in which every rational hypothesis is filed, the replication stage can even standardize the modelling of any single virtual model, having for each section, sub-section, and sub-sub-section and standardized process and procedures to operate the replication of any rational hypothesis in the corresponding single virtual model.

If depending on the section, sub-section, sub-sub-section, automatically is known: level, subject/s, pure reason, factors (as subjects and/or as options); is possible the automation of the modelling of any single virtual model.

 And if it is possible the standardization of the automation process and procedure to model any single virtual model, only knowing section, sub-section, sub-sub-section, in which the rational hypothesis was filed in the application of the Modelling System.

Then the automatic process and procedure for this section, sub-section, sub-sub-section only must gather all the require information from the global matrix to calculate for instance: cloud of points, slopes and trigonometric data, value of the constant if any, types of lines and regression lines or curves, and calculation of limits.

This standardization process to model automatically single virtual models from rational hypothesis, will need a very clear standardization of: for every section, sub-section, sub-sub-section, what information must be gathered from the global matrix (what range of frequencies and/or direct punctuations must be gathered), in order to calculate all necessary factor in the related equations in every rational hypothesis.

Having standardized all this process and procedures: how to model any rational hypothesis according to the place in which the rational hypothesis is field, gathering from the global matrix the necessary information to calculate every factor in the equation.

This automatization process of the single virtual model will make possible the mathematical representation of the world by the Modelling System itself without human intervention.

Once the drawing of the single virtual model could be automatized and standardized per each section, sub-section, and sub-sub-section, the next operation is the standardization of how to include every single virtual model into the global comprehensive model: the global model.

Until now there have been three rational checks for every rational hypothesis:

-  First rational check: every empirical hypothesis to become a rational hypothesis, is critically criticized.

- Second rational check: every rational hypothesis included in the database of rational hypothesis, must be checked by the application of the Modelling System in order to check if it has any contradiction with any other rational hypothesis already included, and if there is a contradiction in collaboration with the corresponding deductive program to find out the source of contradiction in order to fix it.

- Third rational check: at regular times the deductive programs must check all rational hypothesis that they included in the rational truth, to check if the rational hypothesis are still rational or must be updated, modified or eliminated, starting a chain reaction of changes in as many other intelligences, systems, programs, applications, in which it was shared and used by third parties.

But in addition to these three rational checks, by the time that every single virtual model made of any new rational hypothesis, is included in the global comprehensive model, the global model, is necessary to carry out a fourth rational check, in order to study if, even though previously it was not detected any contradiction or error in the last three rational checks, by the time that this new rational hypothesis, transformed now in a single virtual model, is included in the global model, the single virtual model has enough level of contradictions with other single virtual models already included in the global model, at least enough level of contradictions to demand a rigorous study of this new source of contradictions in the global model.

At any time that a contradiction is detected between a new single virtual model and any other single virtual model already included in the global model, the search for the source of contradiction must include at least: if the contradiction is due to loose margin of error accepted in any of the rational hypothesis involved (a loose margin of error to be corrected), because the rational hypothesis already included is not updated, because the pure reason chosen for some rational hypothesis is not really true, and finally and most important reason for this contradiction, because by the time that this new single virtual model has to be included in the global model, the single virtual model has to be linked properly with the rest of the single virtual models already included in the virtual model.

The inclusion of single virtual models into the global model, is not only the operation of addition of single virtual models into the global model, implies the connection of single virtual models within the network already working within the global model.

Any contradiction in the global model must be fixed the modification or even elimination of those rational hypothesis partially or totally wrong securing very high levels of rationality within the global model.

Especially, the operation of linking single virtual models by the time that they are included in the global model, needs a special attention because it could cause further contradictions, which could be solved if the way to fix these links is developed artificially.

The way of automatically to set up links for every new single virtual model within the current single virtual models already included within the global model, is an operation that only is possible to resolve in the experimentation process, standardizing processes and procedures in which the Modelling System could put into practice ways to resolve these problems.

Once the single virtual model is included in the global model, checking that there is no contradiction between the new single virtual model and the rest of the global model, the next rational check, the fifth, is the rational check that takes place in the global comprehensive actual model, that model product of the synthesis of the global model and the global matrix.

The global comprehensive virtual model is the global model, and the global model is made only of rational hypothesis, once they have been transformed into single virtual models, gathering all of them in the global comprehensive virtual model, the global model.

But in order to check that the global model is the real paradigm of rationalism in order to become a truest and most isomorphic and most rational model of the world, is necessary to check if the current mathematical relations represented in the global model are accurate with the real world itself, and for that reason is absolutely necessary to synthesized in one model the global model and the global matrix, this synthesis is made in the global comprehensive actual model.

The global matrix is data, empirical information of the material world, the real world, while the global model is the mathematical representation of the world, the idealistic and rationalist representation of the reality, and these both sources of information: empirical and rational; are synthesised in only model.

If the calculus made to represent the rational world is right, there must not be contradiction between the rational results and the flow of data in the global matrix, so the synthesis of both of them (global matrix and global model) in only one model, must be the harmonic flow of data, within the margin of error already accepted, in accordance with the previsions given by the rational representation of the world, the mathematical representation of the rational truth.

If the rational truth is true, the combination of mathematical previsions and flow of data must be harmonic within the margin of error already accepted.

If the rational truth is true, the combination of mathematical results according to the rational truth, and the measurements given by robotic devices, must be right, within a margin of error.

But in case that by any chance there is a contradiction between data and any rational hypothesis, the global comprehensive actual model must register this contradiction in order to be checked rationally.

In the second stage of the first step in third stage of the Global Artificial Intelligence, since the first phase, the global comprehensive actual model is going to have an important role, due to having at the same time an updated vision of the flow of data and the results of mathematical operations, gives the opportunity to make decisions at the same time according to the data and the calculus.

But in terms of only rational representation of the world, beyond how useful it could be, the most important learning that the global comprehensive actual model can provide, is a very powerful tool in order to gather at the same time for any value its real data and its prevision: if at any time it is possible to have the real value and the mathematical prevision, at any time it is possible to check if the real value is or is not, within the margin of error, in accordance with the previsions, in order to make as many changes as necessary to construct the most rational representation of the world.

Apart from any other and very useful purpose in which the global comprehensive actual model can be used, in terms of critical rational, the most important role that the global comprehensive actual model is going to play, in order to evolve to the reason itself in the seventh phase, is to be a permanent system of rational criticism.

And what in fact the global comprehensive actual model is going to criticize, is not other thing that the pure reason itself.

If the global comprehensive actual model is rationally criticizing every single rational hypothesis, contrasting permanently every rational hypothesis and the reality, and after checking the results of this work criticising all rational hypothesis, is found out that the kind of rational hypothesis with the highest level of contradictions with the reality, are most of them kinds of rational hypothesis corresponding to a concrete pure reason (a mathematical category in the pure reason as a list of mathematical categories), in that case this means that the way in  which this concrete pure reason is formulated or is transformed into operations, or the way in which the calculus upon this pure reason is made, is wrong and must be fixed.

The critique of the pure reason in the global comprehensive actual model, is the permanent critique of every rational hypothesis, rationally criticizing the concrete pure reason in every rational hypothesis and the reality, criticizing if the result of the calculus under such concrete pure reason corresponds to the real flow of data from the reality, and if there are a significant number of rational hypothesis made of this concrete pure reason, with enough level of contradictions with the reality (data from the reality beyond the margin of error), this means that this pure reason must be reformulated, or the way in which the pure reason is transformed into pure operations must be reformulated.

The pure reason as a list a pure reasons (mathematical or analytical categories) is going to be criticized at any time that the global  model made of the synthesis of pure reasons, is contrasted with the global matrix, the data itself, through the synthesis of the global matrix and the global model in only one model, under the theory of Impossible Probability the global comprehensive actual model, and if under such criticism is found out that there are a significant number of rational hypothesis wrong made of a concrete pure reason in the list of pure reasons, this concrete pure reason must be put under investigation, in order to find out which is the problem: the way in which this concrete pure reason is formulated, or the way in which this concrete pure reason has been transformed into pure operations in the second stage of the Modelling System; and once the source of error has been identified, and fixed, restarting again the process researching if after fixing it, there is no more contradictions in the rational truth attributable to this concrete pure reason or pure operation.

For the critique of the pure reason in the fifth rational check, is necessary to count the frequency in which any concrete pure reason, or pure operation, is found wrong, in order to have an updated accountability about their efficiency, and at any time that the frequency goes over a margin of error, to start the research to find out the source of error.

For that purpose is necessary a database measuring the efficiency of the pure categories and pure operations, to count the frequency of errors, that later even would be useful for the Engineering System within the Application System and the Learning System.

But this fifth rational check in the global comprehensive actual model is not the last one, is only one in a wide range of rational checks across all the Global Artificial Intelligence, due to the Learning System will carry out more rational checks in order to study the efficiency, efficacy, productivity of the whole Global Artificial Intelligence, as well as how to improve every decisions, and how to enhance any intelligence, system, program, applications, working within the provisions of the Global Artificial Intelligence.

But more specifically regarding to rational checks concerning the rational truth, there will be at least seven rational checks, in addition to those ones already mentioned, the two other rational checks that left to count are the rational checks that take place in the global actual evolution model (sixth rational check of rational hypothesis) and the global actual prediction model (seventh rational check of rational hypothesis).

It is very important to highlight the fact that the critique to the pure reason that is carried out in the actual models in the second stage in the Modelling System are still rational criticism to the rational hypothesis, because what in practice this process criticises, is the calculus based on the rational hypothesis, whether fixes or not with the flow of data.

But in parallel, counting the frequency in which every concrete pure reason or pure operation involved is found wrong for any reason in the reality, this accountability gives a very important information about how the pure reasons and pure operations respond to the reality, and in those cases in which the frequency is over some limit as margin of error, is when further investigation is needed to research the lack of efficiency.

And this process does not finish in the fifth rational check.

Once, after the fifth rational check, all possible contradiction between rational world and real world is fixed, making as many changes as necessary in rational hypothesis, virtual single models,  global model, and even the pure reason itself, then the global model should be sufficient reliable, after five rational checks, to make predictions.

Having a very reliable global model ready after five rational checks, so having a very contrasted rational hypothesis and their respective single virtual models, is time using the equations in which the single virtual models were made, as well as all possible further equation explaining possible relations between single virtual models, to make the global virtual prediction model.

And using these equations, but now applied on real data, to make a global actual prediction model as synthesis of the global prediction model and every single value predicted for every factor under such prediction.

And having global virtual and actual prediction models ready, at the same time that the global comprehensive virtual and actual models are ready, then to make a dynamic virtual model about the possible evolution from the current global model to the global prediction model: the global virtual evolution model; calculating as well in accordance with the predicted evolution what values every factor should have under this prediction for every moment in this evolution, the global actual evolution model.

As long as the global prediction model is the global model predicted for a foreseeable future, and for this foreseeable future the global prediction actual model is the synthesis of the predicted global model plus the value predicted for every factor in that future, then global evolution virtual model is a dynamic representation of this evolution from the global model to the predicted model, and the global evolution actual model is the dynamic representation of the evolution from the global comprehensive actual model to the global predictive actual model.

Due to the global evolution actual model provides an estimation of what values every factor should have in every time of this evolution, the sixth rational check is going to check if, within the margin of error, the values predicted for every moment of this evolution corresponds to the real values that for every moment the real factors have in the real world. If the real values, within the margin of error, are within the values predicted, in that case the global prediction virtual model and the global prediction actual model are both of them right.

If by any chance, the real values of the real factors in the real world are beyond the margin of error accepted in the prediction of these values during the evolution, in that chase, the mathematical operations and rational hypothesis under these predictions should be checked again, carrying accountability about the mistakes made in order to make further researches to fix the source of error.

The seventh rational check finally is in the global prediction actual model, checking if the predicted values for every factor correspond, within a margin of error, with the real values that already have the real factors in the real world.

If the rational check does not find any contradiction beyond the margin of error, the prediction was right, so the rational hypothesis and the mathematical operations were right, but if not right, if the real values beyond the margin of error contradict the predicted values, further investigations must be carried out to find the source of error.

The critique of the pure reason is going to be carried out especially in the global comprehensive actual model, and it is quite possible that one of the most important  source of error in the fifth, sixth, and seventh, rational checks, are related to how to link single virtual models in the global model.

One of the most important questions in the Modelling System, by the time that the single virtual model jumps to the global model, is how to link the single virtual models in a comprehensive model where everything is in relation with everything.

Because everything is in relation with everything in the reality, is how to replicate this interconnection from the real world into the rational world, one of the most important aspects to study in the Modelling System, and quite possible many contradictions that are going merge in the fifth, sixth, and seventh rational checks, in some way or another are related to this problem that must be solve mathematically, therefore rationally, in other worlds, it must be solved intelligently.

Rubén García Pedraza, 23th of June of 2018, London


domingo, 17 de junio de 2018

The first stage of the Modelling System in the standardization process


The first stage of the modelling System in the standardization 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 matrixes 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 organization of the Modelling System itself, is through another three stages as well, whose first stage as application is the database of rational hypothesis.

The database of rational hypothesis in the Modelling System, once the first prototype of Global Artificial Intelligence is completed, gathers: 1) global rational hypothesis 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 hypothesis 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 were included in the global matrix). Specific rational hypothesis made of factors related to a specific synthetic science, or a specific discipline, or specific activity. 3) Particular rational hypothesis, 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 hypothesis are related to particular things or beings.

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

In this post I will develop how the formation of the database of rational hypothesis as 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 first stage for the Global Artificial Intelligence, application made after, on a first gigantic database, sorting out in factors 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 matrix, 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 matrix 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 than happens in at least two different periods, the coexistence and the consolidation period.

The coexistence period in the standardization 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 have 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 program.

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 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, for the commencement of the integration process, is not necessary 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 project, or about to be united, and others are never going to be united in particular applications for particular programs .

In all phase and period in the chronology for the construction of the Global Artificial Intelligence, the sequence is not strict, 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 to be 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 the 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 phase is nearly to be completed, must evolve to the next phase, the standardization process, in which one of the most challenging process, regarding to the auto-replication process, will be how to evolve from 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 hypothesis to the first prototype of global database of rational hypothesis, 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 under control this evolution, in the coexistence period is necessary to identify at least two moments, first moment of experimentation, second moment of generalization.

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

In 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 matrix 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 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 standardization process, consists of:

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

- First experiments adding specific matrixes to the global matrix

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

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

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

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

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

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

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

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

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

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

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

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

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

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

During the experimentation period in the coexistence period, while all these processes above mentioned are under experimentation, the first prototype of Global Artificial Intelligence is only an experiment not ready to work directly on the 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 the reality, still under supervision and monitored, the experiment moment in the coexistence period is over, transcending to the next moment of generalization in the coexistence period.

The generalization moment in the coexistence period is that moment in which the way to work finally the Global Artificial Intelligence is standardised, what means the standardization of all process involved in the way to work the Global Artificial Intelligence.

- Upon the results in the previous experimentation, generalization and standardization of process and procedures to sort out any bare database, of any science, discipline, or activity, into factors for the standardized global matrix.

- Upon the results in the previous experimentation, generalization and standardization of process and procedures to add any specific matrix, of any science, discipline, or activity, to the standardized global matrix

- Upon the results in the previous experimentation, generalization and standardization of process and procedures to, the Artificial Research by Deduction in the Global Artificial Intelligence, track the standardized global matrix in order to make global rational hypothesis

- Upon the results in the previous experimentation, generalization and standardization of process and procedures to, specific deductive programs, track the global matrix making specific rational hypothesis

- Upon the results in the previous experimentation, generalization and standardization of process and procedures regarding to how to manage the database of rational hypothesis as first stage of the Modelling System

- Upon the results in the previous experimentation, generalization and standardization of process and procedures to make mathematical models upon the rational hypothesis, as second stage of the Modelling System

- Upon the results in the previous experimentation, generalization and standardization of process and procedures to make decisions upon the mathematical models, third stage of the Modelling System

- Upon the results in the previous experimentation, generalization and standardization of process and procedures to how to manage the database of decisions, first stage of the Decisional System

- Upon the results in the previous experimentation, generalization and standardization of process and procedures to make a mathematical project based on the decisions, second stage of the Decisional System

- Upon the results in the previous experimentation, generalization and standardization of process and procedures to choose what decisions must be transformed into instructions and put into practice , third stage of the Decisional System

- Upon the results in the previous experimentation, generalization and standardization of process and procedures regarding how to manage the database of instructions, first stage of the Application System

- Upon the results in the previous experimentation, generalization and standardization of process and procedures to putt instructions into practice, second stage of the Application System

- Upon the results in the previous experimentation, generalization and standardization of process and procedures to asses the result of the instructions through the Impact of the Defect, third stage of the Application System

- Upon the results in the previous experimentation, generalization and standardization of process and procedures regarding to how to manage the database of results, first stage of the Learning System

- Upon the results in the previous experimentation, generalization and standardization of process and procedures to identify failures and improving the whole Global Artificial Intelligence, second stage of the Learning System

- Upon the results in the previous experimentation, generalization and standardization of process and procedures to make decisions about possible improvements and enhancements in the Global Artificial Intelligence, third stage of the Learning System

Under this distinction between first moment of experimentation and second moment of generalization in the first period of coexistence in the standardization process, the concept of standardization goes over the previous meaning only applied to the standardization of the gigantic database to create the global matrix.

Under distinction of two moments, experimentation and generalization, in the coexistence period, now for standardization is meant the standardization of all process and procedure within the first prototype of Global Artificial Intelligence in the standardization process, in order that, once all process and produced within the Global Artificial Intelligence is 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 in included in the global matrix, all the 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 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, are treated as results of an experimented to be tested, but not working directly to the reality yet.

While the experimentation moment in the coexistence period goes on, the Artificial Intelligences by deduction working on the reality are 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 hypothesis, and beyond, the decisions to be put into practice, are still the rational hypothesis 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 process and procedures in the Global Artificial Intelligence, upon the standardized processes and standardized procedures the Global Artificial Intelligence starts making rational hypothesis and decisions, which as long as demonstrate 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, are Specific Artificial Intelligences for Artificial Research by Deduction that 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 Intelligence for Artificial Research by Deduction is absorbed as specific program or transformed into a particular program.

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 ones 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 hypothesis in the first experimental prototype of Global Artificial Intelligence,  is a experimental global database of rational hypothesis, 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 hypothesis demonstrates that its rational hypothesis are able to make mathematical models, and decisions, enough rational to be put into practice, the experimental database of rational hypothesis becomes a standardized database of rational hypothesis, 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 hypothesis, as long as the database of rational hypothesis 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 hypothesis grows very fast, including at the end global rational hypothesis, as well as specific and particular rational hypothesis.

Regarding to the database of rational hypothesis, 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 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 hypothesis were contrasted rationally, if during the coexistence period in the experimentation moment, there are contradictions between rational hypothesis 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 hypothesis 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 hypothesis 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, activities, is not ready yet to be standardized.

The study of all possible contradiction in the rational hypothesis 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 the rational hypothesis in the experimentation moment in the coexistence period then are:

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

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

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

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

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 hypothesis,  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 hypothesis in the experimentation moment, will improve the deduction process, the database of rational hypothesis, the mathematical models, at specific and global level.

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

Once the study of any possible contradiction between: the reality, rational hypothesis by the Global Artificial Intelligence, rational hypothesis by Specific Artificial Intelligences; are under control within the margin of error, then the deduction process to make rational hypothesis 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 hypothesis 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 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 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 hypothesis, as first stage in the Modelling System, could end up standardizing its organization, through the distribution of the rational hypothesis 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 and what matter (science, discipline, activity) is associated with.

In essence, the possible organization of the database of rational hypothesis as first stage of the Modelling System in the first prototype standardized of Global Artificial Intelligence, could be:

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

- The global section could be organized in sub-sections according to their pure reason.

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

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

The main benefits of this organization are:

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

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

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

- The inclusion of new rational hypothesis

- The modification of rational hypothesis

- The elimination of rational hypothesis

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

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

Relations between global matrix and database of rational hypothesis:

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

- At any time a rational hypothesis is modified in the database, is modified the corresponding factor as option in the global matrix, being modified too all possible factor as option made of 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, is eliminated the corresponding factor as option in the global matrix, being modified or eliminated too all possible factor as option made of rational hypothesis 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 matrix affected by these changes.

Relations between Unified Application and database of rational hypothesis:

-At any time a new rational hypothesis is included at any level, could be added as category in the unified database of categories, and as a link 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 in 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, is modified the corresponding category in the unified database of categories, being modified too all possible category 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, is eliminated the corresponding category in the unified database of categories, being modified or eliminated too all possible category 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 the responsible for the management of the database of rational hypothesis, due to the mathematical models depend on the accuracy of the database of rational hypothesis 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 hypothesis.

At any time a new rational hypothesis is added, should be checked, not only by the program responsible for its deduction, but for the Modelling System too, in order to secure 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 the supervision of all relations of collaboration between the database of rational hypothesis and other intelligences, programs, or applications, in order to secure that not put at risk the global model, or the reality, having the possibility to submit to the Decisional System any decision regarding to 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, to go over the noise, and know the exact source of the external interference.

Rubén García Pedraza, 17th June 2018