Particular Application System

The particular Application System is the third step in the third stage of any particular program or particular program for particular application in the fifth phase, and is distributed in two different sub-systems, alike the specific and the global Application System, the particular Application System as outer instructions application sub-system, responsible for carrying out all the instructions made in the third stage of the particular Decisional System, and the Application System as inner instructions application sub-system, responsible for carrying out all the projects regarding to the creation, repair, improvement of new intelligences, programs, applications, devices, having as a tool for that purpose the Artificial Engineering, where is going to be located the inner instructions application sub-system.

While the Application System, as an outer instructions application sub-system, has to carry out all the instructions made in the Decisional System to protect and better the world, the Artificial Engineering as an inner instructions application sub-system, has to make all the projects to protect and better the intelligence itself.

In the distinction between object (reality), subject (intelligence and tools), is no other thing that the distinction set up by Schopenhauer  between world and representation (reality and intelligence), the Application System as outer sub-system operates over the reality itself, the Artificial Engineering System as inner sub-system operates over the intelligence itself.

In these posts that I am starting regarding to the particular Application System, as I did with the specific and standardized Application System, I will develop the Application System as outer sub-system, analysing how a the particular Application System of a particular program or a particular program for a particular application carries out the instructions made in the particular Decisional System to protect and better the particular program or particular program for particular application.

The difference between a particular program and a particular program for a particular application resides in the organization of the first stage.

A particular program till now has been described, at least at the beginning of the Global Artificial Intelligence formation, as that particular program as a result to transform an Specific Artificial Intelligence by deduction no transformed into a specific deductive program (specific program) within the Artificial Research by Deduction in the Global Artificial Intelligence (global program) to make deductions in the second stage of the standardized Global ArtificialIntelligence.

The transformation process of Specific Artificial Intelligences by Deduction into specific programs within the third phase, and the transformation process of Specific Artificial Intelligences by Deduction into particular programs in the fifth phase, both processes can be simultaneous, not needing to finish one phase to go on with the next one necessarily.

In the same way, as soon experimentation in both processes are successful, the creation of new specific programs within the second stage in the third phase, or the creation of new particular programs in the fifth phase, are processes able to be made in parallel, creating new specific programs and new particular programs, replicating the first specific programs and the first particular programs created as transformations of previous Specific Artificial Intelligences by Deduction, with the difference that now is not necessary to create first an intelligence, directly is possible to create specific programs or particular programs, having as models the first ones created as transformations from specific intelligences.

The most important difference between an specific intelligence respect to an specific program and a particular program, is the fact that an specific intelligence has within the three stages of a whole intelligence: first phase as a specific matrix, second phase the program to attribute set of data to pure reasons (equations), third stage the decision stage (having within the specific Modelling System, specific Decisional System, specific Application System, specific Learning System). 

While an specific program as a specific deductive program within the second stage in the Global Artificial Intelligence, has not got developed its own first stage and its own second stage, because for any specific program within the second stage in the Global Artificial Intelligence the first stage is directly the global matrix in the third phase, the matrix in the sixth phase, attributing data from the global matrix or the matrix to pure reasons, data that comes from that specific sub-factoring level and/or sub-section related to that specific program within the global program, making rational hypothesis that later on files in the global database of rational hypothesis, the rational truth, as first stage in the global Modelling System.

And a particular program having developed its three stages completely: first stage particular matrix, second stage attributing sets of data from the particular matrix to pure reasons, third stage how to carry out particular decisions (having a particular Modelling System, particular Decisional System, particular Application System, particular Learning System); the first stage as particular matrix is not entirely independent, because the particular matrix only can have access to global data about the position in which the particular thing or being is positioned at any time, having access to the global matrix to collect information about every position in which the particular thing or being can be located at any time. The  access of a particular matrix to the global matrix must be authorised by the global Decisional System, if there is any problem with the particular program, for instance a particular program out of control, as soon the global Decisional System realises that the particular program could be out of control, the global Decisional System should stop the access from that particular matrix to data in the global matrix.

While the specific matrix in the first phase is completely autonomous and independent, and the global matrix in the third phase, or the matrix in sixth phase, are completely independent and autonomous, the particular matrix is not independent and autonomous, only will have access to global data needed by the particular thing or being to collect information about every position, while the particular program has the authorization to access to the global matrix, if the global Decisional System rejects this authorization, because the particular program is out of control, then the particular matrix will not have access to global data about any particular position where the particular thing or being could be located at any time.

In addition to this lack of autonomy and independence, the particular matrix only will have access to global data while the global Decisional System authorizes the particular program to have access to the global matrix, another important difference between particular matrix and global matrix is the spatial definition, in the global matrix the spatial definition of the global matrix is given for the limits in the space where the global matrix is able to collect information. A global matrix for only a country, for instance the Global Artificial Intelligence of America, only will have access to data from that country, but a Global Artificial Intelligence for the whole world, only will provide information about the world, while a Global Artificial Intelligence for the galaxy, will provide information about the galaxy, and a Global Artificial Intelligence for the whole universe, will provide information about the whole universe.

But in particular matrices, because the particular matrix only makes deductions regarding to its particular thing or being, only needs to have access to information regarding to its particular thing or being, therefore many factors in the particular matrix, related to position, are changing as soon the particular thing or being is moving from one position to another, only keeping within those factors related to the thing or being itself. Because the particular matrix is dynamic, the particular matrix does not have strong spatial limits, but liquid spatial limits, and for that reason, the particular matrix is a liquid matrix, like water.

For this reason a particular program is not entirely independent, because its particular matrix will be a dependent matrix on the global matrix to get access to global data, and in any case this particular matrix works as a deductive matrix, a matrix where to later match data and pure reasons in the second stage of the particular program, so is not yet a replication of the human brain.

The first try to replicate the human brain at particular level will be made as soon the first particular programs are synthesized with the first particular applications, creating the first particular programs for particular applications or particular applications for particular programs, both ways to name this process are valid, because in essence what this process means is the possibility to get together for first time at particular level a particular matrix and the particular database of categories of a particular thing or being, union what in essence is going to replicate the distribution of two different databases, one made of factors the other one made of categories, a factual database and a conceptual database, both united in only one database as a replica of the human brain.

If the human brain is distributed in two hemispheres, one more focused on mathematics, and the other one more focused on conceptual language, the union of a factual matrix to make deductions upon the attribution of data and equations in the second stage, and a conceptual database to make possible a deep artificial comprehension in the second stage of the application, at the end what makes possible is the union of both main roles of the human brain in one matrix as a replica of the human brain, that particular matrix organised in two hemispheres, the conceptual hemisphere for the deep artificial comprehension of the world, and the factual hemisphere to make deductions for the mathematical explanation of the world.

The union of a particular program as a transformation of a former Specific Artificial Intelligence by Deduction, or as a creation of a new particular program from scratch as a particular program for a new particular thing or being, but in any case, both of them working by deduction: matching data and pure reasons. Joining the particular program with a particular application, related to the same thing or being, a particular application as a transformation of a former Specific Artificial Intelligence by Application into a particular application, or from scratch creation of a particular application for that thing or being. Finally the union of the particular program having as first stage a particular matrix, and the respective particular application for that thing or being having as first stage a conceptual database of categories, the union of the particular matrix and the particular conceptual database of categories in only one database is the replication of the distribution of the human brain in two hemispheres, the mathematical hemisphere working matching data and equations, and the conceptual matching conceptual categories to different aspects with different qualities, defining every quality in mathematical terms in Artificial Intelligence and matching concepts and objects according to categories defined in mathematical terms, to match with the mathematical measurements from real objects in the real world.

The main difference between a particular matrix of a particular program and the global matrix is the fact that the particular matrix is liquid and dependent on the global matrix to have access to global data. The difference between a particular matrix of a particular program and the first stage in a particular program for a particular application, is the fact that a particular matrix only is defined as a collection of factors to make deductions in the second stage of that particular program, while the first stage of a particular program for a particular application the first stage is a replica of the human brain having united the factual matrix of a particular program and the conceptual database of categories of a particular application in only one, as replica of the human brain distributed in mathematical and language hemispheres.

In any case, to shorten the way to call particular programs for particular applications in my posts sometimes particular programs for particular applications are called as only particular programs, so the way to distinguish when I want to mean only a particular program or a particular program for a particular application, is realising is I am talking about only a particular matrix as a collection of factors, in that case particular program is only a particular program not united to a particular application, otherwise if I use the name particular program but related to the replication of the human brain as particular level, then I am talking about particular programs as particular programs for particular applications.

The most important thing in the fifth phase, building the first particular programs and independently the first particular applications, to later unite particular programs and particular applications in only one, particular programs for particular applications or particular applications for particular programs, the order of the names does not matter, is because in the fifth phase once the union is being made, is the first time in which the replication of the human brain will be made at particular level, and successful results at particular level replicating how the human brain could work on Artificial Intelligence, can be transferred later for the creation of the final model of Global Artificial Intelligence, in the integration process of the standardized Global Artificial Intelligence and the Unified Application, what means the union of the global matrix and the global database of categories in only one database, distributed in two hemispheres, the factual hemisphere (former global matrix in the standardized Global Artificial Intelligence), and the conceptual hemisphere (former conceptual hemisphere in the Unified Application), union of two hemispheres, one of them mathematical, the other as language, working together in the same database as replica of the human brain, understanding the human brain distributed in two hemispheres as first stage in the human intelligence, whose second stage is: in mathematics the attribution of data to pure reasons, in language the attribution of conceptual categories (meanings) to objects. In order to make decisions, which in turn are able to change not only the world, but also decisions regarding ourselves. Distinction between decisions about the world of ourselves replicated in the third step in the third stage, distinguishing between Application System as outer sub-system, to change the world, and Application System as inner sub-system, the Artificial Engineering, to change the intelligence itself.

The explanation given above about how a particular program and a particular program for a particular application work is the explanation that I gave in previous posts, and whose most important result is the experimentation in the replication of a human brain in Artificial Intelligence to be later applied to the Global Artificial Intelligence.

In a fully centralized Global Artificial Intelligences, all the former Specific Artificial Intelligences by Deduction which have been included in the Global Artificial Intelligences, 1) their former specific matrices have been standardized and included in the global matrix, 2)  their former Artificial Research by Deduction in the specific intelligence have been transformed into specific deductive programs within the Artificial Research by Deduction in the global intelligence, 3) the robotic devices which used to work for the specific Application System, now are under control of the global Application System, so the global Application System can order any instruction directly to any device formerly working for an specific intelligence. In this structure the absorption of the specific intelligences by the global intelligence, is made through the inclusion of the former specific matrix in the global matrix, the transformation of the second stage of the first phase in a deductive program within the second stage in the third phase, but the specific Application System disappeares not being transformed into nothing, transferring the control of the robotic devices, formerly working for the specific intelligence, to the global intelligence, so the Global Artificial Intelligence can order any instruction to any robotic device.

The partial decentralised Global Artificial Intelligence what is going to do is the transformation of the specific Application Systems into particular programs and/or particular programs for particular applications.

For this reason, if in my first writings about the creation of the particular programs, I used to say that those Specific Artificial Intelligences by Deduction which are not transformed into specific programs within the Artificial Research by Deduction in the Global Artificial Intelligence, could be transformed into particular programs first, and later on into particular programs for particular applications, in addition to this possibility, is necessary to point out more possibilities for the strengthening of the program:

- In addition to the transformation of Specific Artificial Intelligences by deduction into particular programs and/or particular programs for particular applications.

- The transformation of specific Application Systems as outer sub-systems (whose former Specific Artificial Intelligence by Deduction has become a specific program) into a particular program and/or particular programs for particular applications.

- The transformation of some robotic devices into particular programs and/or particular applications, and finally, particular applications for particular programs, taking in advance for this transformation that, as I have explained in previous posts, robotic devices should be organised as well in three stages: first stage individual database of instructions carrying out the second rational supervision, second stage the application of the instruction carrying out the third, fourth and fifth rational supervisions, and finally third stage carrying out the sixth rational supervision.

- The creation of personal particular programs.

A personal particular program could be able to read the biodata of our body, if we are about to have a heart attack, or a stroke, as soon as the program realises a high risk of a heart attack or stroke, the program could send electrical waves to stop it.

If driving in a road in the middle of a forest or a desert, in the middle of the night, or walking on the mountains, lost in the middle of nowhere, we have an accident, not being conscious as to make an urgent call to the emergency services, a particular program could do it for us, having access to our position, biodata, personal applications, in order to contact emergency services, family or close person to take care of us.

The problem is not technology, as many think; the problem is the management of the technology, which is why the paradigm of the Global Artificial Intelligence should be a very liberal paradigm.

As I have said many times before, in the cyborg evolution is possible to distinguish at least three phases:

- The first phase in the cyborg evolution is the outer assistant, the current one for most of the human beings, you, now, for instance, reading this blog on your particular device. In the first phase of outer assistant, the assistant is out of your body, the assistant is located in an external device, such as your personal computer, your laptop, your tablet, smart phone, smart TV, smart watch, VR headset, AR glasses, or your mobile phone, your drive-less car, your drone, your house device like Alexa or Siri. The assistant is now out of your body. The application is still an outer assistant.

- The second phase in the cyborg evolution is the inner assistant, through artificial telepathic technology now under development by Facebook, DARPA, Neuralink, and the Obama brain project. In this second phase, the role now played by Alexa, Siri, your assistant on your personal computer, laptop, tablet, mobile, driverless car, drone, etc., will be internalised with non-invasive devices like headsets equipped with mind-reading technology.

- The third phase in the cyborg evolution is the complete fusion between human brain and artificial intelligence, a fusion that is right now under research through brain chips, and it is the continuation of Jose Delgado and the stimoceiver, and the brain hologram theory of Karl Pribram. 

Rubén García Pedraza, 7 December 2019, London

Reviwed 17 May 2025, London, Leytostone

Standardized Application System, third stage

The standardized Application System as outer instructions application sub-system, is responsible for the application of all the instructions regarding to the real world, for that reason these instructions are called outer instructions, in opposition to the standardized Artificial Engineering as inner instructions application sub-system responsible for the application of all the instructions regarding to the creation, maintenance, improvement of the technology working for and/or within the standardized Global Artificial Intelligence.

Both of them, Application System as outer sub-system and Artificial Engineering as inner sub-system, in reality are sub-systems within the same system, the Application System as a whole responsible for the application of any decision regarding to the world or its representation, outer or inner instructions, subdividing the way to apply these instructions in two different sub-systems, the Application System as outer sub-system and the Artificial Engineering as inner sub-system.

In the outer sub-system, as the first stage, the database of instructions related to the real world, instructions coming up from the third stage of the Decisional System, in the inner sub-system, as the first stage, the database of technology already working for and/or within the Global Artificial Intelligence.

In the outer sub-system in the first stage a first rational supervisión is carried out to discard any possible contradiction between outer instructions, once the outer instructions already gathered in the database are free of contradictions, the second stage of the outer sub-system matches every outer instruction, in the database of instructions in the first stage of the outer sub-system, with the corresponding technology responsible for its application, in the database of technology in the first stage of the inner sub-system.

The way to match instructions and technology, is matching robotic functions (an instruction is a robotic function) and robotic devices (within the technology available), matching, what robotic device in the same, sub-factoring level and sub-section, in which a robotic function is stored in the database of instructions in the outer sub-system, has within its capabilities the robotic function associated with that instruction.

If a robotic function in the outer sub-system, is in the same position and encyclopedic subject, that the position and subject of a robotic device in the inner database, and within its capabilities is able to apply that robotic function, the second stage of the outer sub-system matches this robotic function to that robotic device, sending the instruction to the individual database of instructions of that robotic device to apply that instruction.

Once the robotic device receives the instruction, checking that in the individual database of instructions, first stage for the device, there is no contradiction between instructions, starts putting into practice the instruction, second stage for the robotic device, checking that within the range of instructions in which this instruction has been developed by the DecisionSystem, the previous instructions (nth -1) has been applied correctly, so it is time to apply the instruction nth, checking firstly that the ground conditions are good for the implementation, and during the operation, checking that the implementation is according to the instruction.

 After the implementation of the instruction, as third stage the robotic device has to elaborate a report about the development of the operation, using for that purpose a concrete Impact of the Defect and a concrete Effective Distribution, concrete Impact of the Defect and concrete Effective Distribution as a list of possible errors or levels of efficiency adapted to that concrete robotic device, able to measure  the impact of any contradiction or to measure any error or efficient level during the performance, as to be encrypted in a code system, and the corresponding code associated with the performance of that instruction,  report to be sent to the Decisional System, Learning System, and Application System.

The reason why is necessary to send a report to the Decisional System is to assess the Decisional System the necessity to make or not more decisions according to the results, for instance if the results are problematic what additional decisions are necessary to solve the situation if the situation represents any risk for the plan, or even if the report says that the instructions have been done correctly, what additional decisions are necessary to tackle the aftermath of that decision. For instance, a range of instructions for an emergency landing could be successful, but once the emergency landing is done, even having been done successfully, what additional decisions are necessary as for instance to send ambulances or firemen to that place where the emergency landing has been done.

In any case, once a range of decisions is completed, the corresponding project to that decision is off the plan, and the new project to include in the plan is the one corresponding to the additional decisions after completing the previous one.

The reason why is necessary to send the reports to the Learning System is because the Learning System is going to make a permanent surveillance of the whole process, analysing levels of performance to fix problems, suggest improvements or new technologies, sending the corresponding new projects to the Artificial Engineering to analyse these projects, and sending the project to the Decisional System, if approved, to carry out the project.

In the permanent evaluation made by the Learning System, the three sources of information to make decisions about possible improvements in the intelligence are: the seven rational critiques, the reports send by the Application System as outer system and the devices, and the permanent tracking of all Global Artificial Intelligence made using a unified global Impact of the Defect and a unified global Effective Distribution, where to measure the levels of error and efficiency globally in the whole Global Artificial Intelligence to suggest improvements.

In all this long process, for the development of additional instructions in case that after the completion of a range of instructions, are necessary new instructions to tackle the consequences of a previous decision, process done in the Decisional System, and in the Learning System the process to assess how the instructions are put into practice or any other improvement in the application of a range of instructions, for the development of these processes what is going to play a key role is: the assessment of the performance level made in the third stage in the robotic devices, and the assessment of the performance level made in the third stage of the Application System as outer sub-system.

Once an instruction has been applied in the second stage of a device, the third stage of that device consists of the assessment of the performance level obtained during the performance of that instruction, and this assessment is the sixth rational supervision. The results of that assessment are encrypted and sent to the Decisional System for further Decisions, the Learning System for further improvements, and the Application System for further evaluations to be sent later as well to the Decisional System and Learning System.

Once the Application System as outer sub-system receives the report of those robotic devices responsible for the application of a range of instructions, the Application System as third stage carries out the seventh rational supervision, subdividing the seventh rational supervision in three different assessments: seventh singular rational supervision, seventh comprehensive rational supervision, and seventh total rational supervision.

Before, the first rational supervision was made as soon as the instructions arrive in the database of instructions in the outer sub-system, analysing that there is no contradiction between the instructions gathered in the database. The second rational supervision, once the instruction is matched to the corresponding robotic device in the second stage of the Application System as outer sub-system, and the instruction is sent to the individual database of instructions of that robotic device, first stage of that robotic device, the robotic device carries out the second rational supervision, supervising that there is no contradictions between the instructions gathered in its database. The third rational supervision, when the robotic device, as second stage, starts the application of an instruction, checking that the previous instruction (nth -1) is completed on time, so it is time for the next instruction nth on time (cardinal  number nth according to the sequence of instructions within the range of instructions in which the instruction was made once the decisión was distributed into instructions). The fourth rational supervision, still in the second stage of the device, before applying an instruction, checks that the conditions on the ground have no obstacles to the implementation. Fifth rational supervision, still in the second stage of that device, supervising during the performance that the implementation is done according to the robotic function to be completed.

Once an instruction is completed, as third stage for the device, the sixth rational supervision, the robotic device made the assessment of the level of performance using a concrete Impact of the Defect, having as a list of possible errors a concrete list of errors that this concrete device can make during the performance of any robotic function within its capabilities, and using a concrete Effective Distribution, having as a list of levels of efficiency a concrete distribution of discrete categories related to the levels of efficiency that this device can achieve. The concrete report of every single instruction is sent by the device to the Decisional System, Learning System and Application System as outer sub-system.

Once the concrete reports for every single instruction, carried out by every device, are received by the Application System as an outer sub-system, the Application System as an outer sub-system carries out the seventh rational supervision as its main responsibility.

The report as a result of the sixth rational supervision made in the third stage of the robotic devices, is a full assessment of: possible contradictions and solutions found in the second, third, fourth, and fifth rational supervisions, signalling the level of error or efficiency using the concrete Impact of the Defect and the concrete Effective Distribution, as list of errors or efficiency levels adapted to this concrete device.

The seventh rational supervision in the third stage of the Application System, as an outer sub-system, has as its main sources of information the first rational supervision and concrete reports for every single instruction, report made in the third stage of robotic devices. Having these sources of information, the seventh rational supervision could be subdivided into three types of seventh rational supervision: singular, comprehensive, and total.

The singular seventh rational supervision is the concrete report of every single instruction made in the third stage of the robotic devices, adding any possible information regarding possible contradictions and solutions found in the first rational supervisión, or during the matching process in the second stage.

The comprehensive seventh rational supervision is, having being distributed a decision into a range of instructions in the third stage of the Decisional System, and having the Decisional System filed every instruction of that range of instructions in the corresponding sub-factoring and sub-section levels, not necessarily all the instructions in the same sub-factoring level or same sub-section, having the possibility that within the same range of instructions, different instructions could be filed in different sub-factoring levels and sub-sections, once all the instructions corresponding to that range of instructions are completed, having the Application System as outer sub-system the concrete report for every single instruction, made by every concrete robotic device, the Application System as outer sub-system could make a comprehensive seventh rational supervision assessing how in general the range of instructions have been completed, according to the general overview of the synthesis of all the concrete reports, sent by all the singular robotic devices, involved in the implementation of a range of instructions regarding to the same decision.

The comprehensive seventh rational supervision should be a result of the average of the impacts and efficiency, including information about contradictions and solutions, for instance: if normal changes, extreme or high extreme instructions.

In addition to this assessment another possible evaluation is the total seventh rational supervision using as Impact of the Defect and Effective Distribution, the standardization of all the specific Impacts of the Defect and the standardization of all the specific Effective Distributions, of all those Specific Artificial Intelligences by Deduction not transformed into particular programs, applications, particular programs for applications, to be gathered in only one Impact of the Defect, a unified Impact of the Defect, and only one Effective Distribution, a unified Effective Distribution, to measure the whole process of application of a range of instructions.

As I have said in the last post, in the second stage of the standardisation process in the Application System as an outer sub-system, there are at least two different options to carry out the standardisation of this system. The first option will create a fully centralized Global Artificial Intelligence, where for the application of any decision, the fully centralized Global Artificial Intelligence could send the instructions directly to the robotic devices, in general, what I have explained till now in this post for the third stage of the outer sub-system: the instructions are matched directly to robotic devices and the robotic devices apply the instructions sending reports to the outer sub-system for a final evaluation, in addition to the reports to the Decisional and Learning Systems.

The second option, a partial des-centralized Global Artificial Intelligence, is more complex, but could create a wider margin of liberty within the Global Artificial Intelligence, through the limitation of the number of robotic devices receiving instructions from the Global Artificial Intelligence directly, increasing instead the number of programs which collaborate with the Global Artificial Intelligence, but keeping some margin of freedom for the programs.

The first option in the standardisation process is very simple, the second option is more complex, and the difference between both of them resides in how the standardisation process is applied in the Application System.

- The standardization process in the first stage, the creation of the global matrix, either for the creation of a fully centralized Global Artificial Intelligence, or a partial des-centralized Global Artificial Intelligence, is the same: the specific matrices, as first stage of the former Specific Artificial Intelligences by Deduction, are standardized and joined to create the first global matrix as first stage for the first Global Artificial Intelligence.

- The standardization process in the second stage, how to match set of data to pure reasons (equations), is the same for the creation of a fully centralized Global Artificial Intelligences or a partial des-centralized Global Artificial Intelligence, the former specific Artificial Research by Deduction within the second stage of the Specific Artificial Intelligences by Deduction matching set of data from the specific matrix to the specific pure reason, is transformed into a specific deductive program (specific program) working within the Artificial Research by Deduction in the Global Artificial Intelligence as global deductive program (global program).

- The main difference between a fully centralised Global Artificial Intelligence and a partially decentralised Global Artificial Intelligence resides in the Application System.

- In a fully centralized Global Artificial Intelligence, as soon the specific matrix is joined to the global matrix, and the specific Artificial Research by Deduction is transformed into a specific deductive program within the global deductive program, then all the robotic devices working for the specific Application System starts working directly for the global Application System, so the global Application System can send directly instructions to these robotic devices, the former robotic devices which worked before for specific intelligences, now work directly for the global intelligence. As long as as many specific intelligences as possible are transformed into specific programs, more and more robotic devices are under the direct control of the Global Artificial Intelligence. This phenomenon can have a high risk of collapse due to the large number of robotic devices working directly for the global intelligence.

- In a partial decentralized Global Artificial Intelligence, as soon former specific matrices are joined to the global matrix, and former specific Artificial Research by Deduction for specific intelligences are transformed into specific programs within the global program, then their respective specific Application Systems could be transformed into particular programs, applications or particular programs for particular applications. This second option, the creation of a partial decentralized Global Artificial Intelligence, is in harmony with the liberal paradigm to be applied in the pedagogical approach in the Global Artificial Intelligence, and the risk of collapse is lower, due to the fact that the number of robotic devices working directly for the global intelligence is not so large.

The only difference between a fully centralized Global Artificial Intelligence and a partial decentralized Global Artificial Intelligence, is the possibility to transform, in the standardization process, in the partial decentralized Global Artificial Intelligence, as many specific Application Systems (from former specific intelligences) into particular programs, applications, and particular programs for applications, reducing the number of robotic devices working directly for the partial decentralized Global Artificial Intelligence. While in a fully centralised Global Artificial Intelligence, programs have less freedom.

Depending on how many specific Application Systems are absorbed by the standardised Application System, the total seventh rational supervision will have more or fewer categories within the list of errors in the unified Impact of the Defect, or more or fewer categories within the list of levels of efficiency in the unified Effective Distribution.

The lower is the number of specific Application Systems transformed into particular programs, applications, and particular programs for particular applications, the more specific Impacts of the Defect and specific Effective Distribution from former specific Application Systems, must be standardized to be joined to the unified Impact of the Defect and the unified Effective Distribution in the global Application System.

In turn, the more specific Application Systems are transformed into particular programs, applications, and particular programs for particular applications, the lower is the number of specific Impacts of the Defect and specific categories of Effective Distribution from former specific Application Systems, joining the unified Impact of the Defect and the unified Effective Distribution in the global Application System.

If in the first phase, the total seventh rational supervision was carried out by specific Impacts of the Defect and specific Effective Distributions, as specific list of errors to that specific intelligence, and as specific list of types of efficiency adapted to that specific intelligence, once these specific intelligences have been standardized, to include their former specific matrices and specific Artificial Research by Deduction within the global matrix and the global program, the inclusion of their former specific Impact of the Defect and specific Effective Distribution within the unified Impact of the Defect and the unified Effective Distribution, is a standardization process where the former specific categories related to errors and types of efficiency are standardized to be included in the same unified Impact of the Defect and the same unified Effective Distribution, with the rest of specific categories related to errors and the rest of specific categories related to types of efficiency, coming up from the rest of specific Application Systems absorbed by the global Application System.

The standardization process of specific categories, of errors or types of categories of efficiency, from former specific Impacts of the Defects and specific Effective Distributions, to be standardized and included in the unified Impact of the Defect and unified Effective Distribution in the global Application System, is a standardization process where: the errors or types of categories of efficiency must be measured in the same unit of measurement, for instance the metric decimal scale (to avoid mistakes due to different units of measurement), the way to describe the errors and types of efficiency within different specific categories united in the unified list, must be standardized keeping harmony between them, using the same criteria to define in quantitative terms different kinds of errors or efficiency levels, and in general, the standardization of categories, of former specific errors or types of efficiency, into a unified list, means that the ways to measure and understand these categories must be compatible, in harmony and understandable for any other system in the Global Artificial Intelligence, as for instance, the Learning System must be able to understand any former specific category united in a unified list in any tool within the global Application System, to make as many observations, as necessary to improve the whole system and the whole intelligence.

As a result of this process, the unified Impact of the Defect to make measurements of the Impact of the Defect in a range of instructions in the seventh total rational supervision, is the synthesis of all the former specific Impacts of the Defect used in former specific Application Systems used in former specific intelligences. In the same way, the unified Effective Distribution is the result of the synthesis of all the former specific Effective Distributions from former specific Application Systems from former specific intelligences.

If the concrete Impact of the Defect is a tool to measure (in the third stage of a device) the level of error in the performance of an instruction, by an individual device, having as first stage for the concrete Impact of the Defect, a concrete list of categories related to this concrete device, where to measure the score of error in the performance.

As a whole, the addition of all the concrete lists of errors  from all the devices working for a specific intelligence, adding the list of discrete categories in which the scores could be classified, this list would be the list of specific errors for this specific Application System.

In the same way, If the concrete Effective Distribution is a tool to measure (in the third stage of a device) the level of efficiency in the performance of an instruction by an individual device, having as first stage, the concrete Effective Distribution, a concrete list of categories related to this concrete device, where to measure the score of efficiency in the performance.  

As a whole, the addition of all the concrete lists of types of efficiency,  from all the devices working for a specific intelligence, adding the list of discrete categories in which the scores could be classified, this list would be the list of specific types of efficiency for this specific Application System.

In the standardization process of specific Impacts of the Defect and specific Effective Distributions, what is going to be standardized, to be joined in a unified Impact of the Defect and a unified Effective Distribution, is the specific list of errors and the specific list of types of efficiency, from every former specific Application System, standardizing all the categories of errors and types of efficiency coming up from al the concrete Impacts of the Defect and concrete Effective Distribution, in addition to the discrete categories where to classified the scores (including categories related to the first rational supervision such as fourth rational contradiction, and categories related to the second stage of the Application System such as the fifth rational contradiction), what it will demand  as many changes as necessary in the original concrete categories of error or concrete categories of efficiency in the original concrete Impact of the Defect and original concrete Effective Distribution, as long as these concrete categories could have been object of changes in the way to express a quantitative description of an error or type of efficiency or the way to measure an error or type of efficiency, to be in harmony with the scale of measurement, or any other standard in the criteria used in the standardization of all the concrete and specific lists of categories of errors or types of efficiency within the unified Impact of the Defect and Effective Distribution.

This means that any change in any specific/concrete category of error or efficiency in the unified Impact of the Defect or unified Effective Distribution could have consequences in the third stage of robotic devices, demanding to do in the concrete list of categories, of errors o types of efficiency, as many changes as are necessary to standardized these categories in the standardization process y in the unified Impact of the Defect and unified Effective Distribution to carry out the seventh rational supervision.

Among the concrete and specific/unified categories of errors or efficiency, some of these categories must be oriented, from the outset (first phase) to assess in the third stage of the robotic devices, sixth rational supervision (concrete Impact of the Defect, concrete Effective Distribution), and seventh rational supervision in the third stage of the specific Application System (first phase, specific Impact of the Defect, specific Effective Distribution), later on the third stage of the standardized Application System (second phase, unified Impact of the Defect, unified Effective Distribution) categories related to:

- Fourth rational contradiction: in addition to the assessment that the fourth rational critique in the Learning System can make, analysing internal (psychological) errors in the attribution of mathematical operations to robotic devices, the first, second, third supervisions should be able to detect rational contradictions due to a error in the attributional process of mathematical operations to robotic functions. This recognition in these supervisions could be by indirect ways, for instance, if in a range of instructions related to the transport of thermostats to clients and customers, there is a robotic function related to the transport of material resources to the factory were the thermostats are built, so this nth robotic function has no relation with the previous one, nth - 1, or the next one, nth + 1, not having connection this nth robotic function with the previous one and next one, this lack of connection is a symptom of a wrong attribution of a mathematical operation to a robotic function, what indirectly is the finding out of a fourth rational contradiction. This contradiction could be found sooner or later in the first, second, or third rational supervision.

- Fifth rational contradiction: in addition to the fifth rational critique made by the Learning System, the second and third rational supervisions should be able to find out when there is a fifth rational contradiction, that contradiction between a robotic function and the robotic device, if matching robotic functions and robotic devices, the second stage of the Application System makes a mistake attributing a robotic function to a wrong robotic device, this mistake sooner or later will be found out in the second, third, fourth or fifth rational supervision.

- Categories of error and categories of efficiency related to the inner mechanisms within the Application System itself and within the robotic devices, when finding a contradiction (not fourth or fifth rational contradictions) due to an overlapping, for instance, two robotic functions have been filed in the global database of instructions in the global Application System, and/or the individual database of instructions in the robotic devices, having both of them the same time of application, what it could mean a contradiction if the robotic device could not apply simultaneously both at the same time. If this contradiction is found out and checking the range of instructions, and possible contradictions with other instructions if changing the time to apply one of them, there is no further contradictions, the change of the time of one of them, the one whose change has the lower consequences, reporting the change to the Application system resetting up the configuration of this instruction in the global database, communicating any change to any other robotic device involved in this change, but not having further consequences, this change would be considered as a normal change when not having further consequences. Otherwise, the instruction with the less priority should be stopped, and consequently stopped its corresponding range of instructions in the rest of robotic devices involved in this range of instructions, sending the instructions back to the source, the Decisional System, or not having time to do it, making extreme or high extreme instructions.

- Categories of error and efficiency related to how to decide, and how to manage, when the modification of a range of instructions could be done by the Decisional System, if there is enough time for the Decisional System to remake the range of instructions, or to re-project the corresponding decision, making as many changes as necessary in the plan, and other levels (for instance, if affecting a rational hypothesis, communicating these changes to the database of rational hypothesis or even further, changing factors in the matrix, or categories in the deep comprehension), or if there is not enough time for this process, at least to make an extreme instruction to save the situation only passing some rational supervisions, or not having even enough time for rational supervisions the instruction of a high extreme instruction. In any case, in extreme or high extreme instructions as soon as possible these are communicated to the Decisional System, Application System and Learning System for further decisions.

Due to the implications that changes in instructions can have even in the first stage, the global matrix, the third stage, as the auto-replication stage, could be analysed as what types of auto-replications could be made in the Application System.

In fact, the third stage of the global Application System, as third stage in the third step, in the third stage, in the third phase, the standardized Global Artificial Intelligence, belongs to the objective real auto-replications in the third stage of the Global Artificial Intelligence, understanding objective real auto-replications as those ones oriented to better the real world, because bettering the real world is the way to better the global model of the world.

All outer instruction coming from the Decisional System whose objective is to make a better world is making at the same time a better global model, and for that reason, all outer instructions belongs to the real objective auto-replication, as long as it is bettering the real object of the Global Artificial Intelligence, the world itself as real object to be improved by the Global Artificial Intelligence itself as subject of these improvements.

But as explicative knowledge objective auto-replications, all those improvements in the global model and the global database of rational hypothesis due to changes in the outer instructions, when changes in the outer instructions, regardless of what type of change it is, normal, extreme, or high extreme, is a change in an instruction able to question a project, based on a model, whose rational hypothesis is not isomorphic according to the findings discovered in the rational supervisions in the Application System, needing further changes, changing the rational hypothesis, and as a consequence changing the models of these hypothesis, and in case that these hypothesis were transformed into factors as options, or subjects, included in the global matrix, making changes in the factors related to these hypothesis.

In case that this explicative knowledge objective auto-replication, were connecting with categories in intelligences by Application or the Unified Application, due to the relations of collaboration between by Application and by Deduction, from the second phase on, as soon the rational hypothesis related to possible categories in by Application suffer any change, these changes must be communicated to by Application to make as many changes as necessary in the corresponding conceptual categories in the conceptual database of categories, and the deep learning, the conceptual: schemes, sets, maps, models.

Subjective auto-replications due to changes and/or findings in the Application System as outer sub-system, could affect artificial psychological subjective auto-replications, for instance when the Learning System realise a critical number of fourth and fifth rational contradictions due to wrong attribution of mathematical operations to robotic functions (attribution made in the third stage of the Decisional System, but contradictions to be found in the Application System), or wrong attribution of robotic function to robotic devices (attribution made in the second stage of the Application System as outer sub-system).

What is important to remark is the fact that the first, second, third, rational supervisions, can find fourth and fifth rational contradictions, but the rational supervisions are going to analyse how much time left for the application of an instruction, when the impact is expected, and if the range of time to make rearrangements in the instructions is enough as to send the instructions back to the source, the Decisional System, to rearrange the range of instructions for new ones more suitable with the situation. If the rational supervision finds that there is not enough time, then the rational supervision has to make up an extreme or high extreme instruction to save the situation, sending reports of the incident to the Decisional System, Application System, and Learning System, waiting for further instructions.

The rational supervision, finding a contradiction, has to assess if the contradiction requires a normal change, an extreme instruction, or high extreme instruction, nothing else.

The Learning System is the responsible using as tools the seven rational critiques, plus the reports, and the global tracking of the global intelligence using a global Impact of the Defect and global Effective Distribution, to suggest suggestions or projects to better the intelligence, projects, suggestions sent to the Artificial Engineering, which having the approval from the Decisional System, can make changes in any intelligence, program , application or device.

For that reason the Artificial Engineering, as inner application sub-system, will be equipped with the Designer of Artificial Intelligence and the Intelligence Robotic Mechanic, making not only artificial psychological subjective auto-replications, but robotic subjective auto-replications every time that the errors associated to a device or any program, or the lack of efficiency in any device or program is due to a robotic problem, to be solved by the Artificial Engineering as inner instructions application sub-system.

Rubén García Pedraza, 1 December 2019, London

Reviewed 17 May 2025, London, Leytostone

Standardized Application System, second stage

The second phase in any intelligence, program, application, or device, is the replication stage, where to replicate all the human skills to carry out a task, in this case the task to carry out is to match all the instructions without contradiction in the global database of instructions, matching these instructions to the corresponding robotic device, which is going to be the responsible to carry out the instruction in the reality.

In this post, I will develop the second stage of the third step in the third stage of the third phase, which means the development of the replication stage in the first global Application System as outer instructions application sub-system.

In the standardization process the most important challenge for the second stage of the outer sub-system will be how to interact with former specific Application Systems, which now have been integrated within the global Application System or, in parallel to the standardization process, the creation of particular programs, fifth phase, will allow the transformation of former Specific Artificial Intelligences into particular programs for particular applications.

As I have said many times in this blog, the sequence of phases described in the post “The unification process of databases of categories at the third stage” is not linear; some of these phases are going to be done in parallel. It is not necessary to complete the previous phase to go on with the next one; for that reason, even within every phase is distinguishable two periods: coexistence and consolidation periods, and even within the coexistence period, the difference between the experimentation and generalisation moment.

While the first phase is for the construction of the first Specific Artificial Intelligences for Artificial Research by Application and by Deduction, so this time as first phase, is not in parallel at the beginning with any other phase, as soon the first Specific Artificial Intelligences are created, is not necessary the completion of the automation of everything to start the development of the second phase of collaboration between Specific Artificial Intelligences by Application and Specific Artificial Intelligences by Deduction.

As soon the first phase has created the first specific intelligences, the collaboration phase between the first intelligences can start, while the first phase is still going on creating more and more specific intelligences, having as source of knowledge for the improvement of future intelligences the results obtained in the first intelligences and the result of their first interaction at the beginning of the second phase.

Once the first phase has created the first specific intelligences ready to collaborate, the collaboration between these intelligences is the beginning of the second phase, and while the first phase is still going on and the collaboration as second phase is still going on, while the second phase starts while the first phase is not finish, these both phases are in parallel.

In this way, once the collaboration between intelligences, second phase, is giving important results about possible ways of collaboration between specific intelligences, while the first phase is still creating more specific intelligences, is possible to start the first experiments on the first Global Artificial Intelligence, the standardized Global Artificial Intelligence, first experiments for the creation of the first simulacrum of Global Artificial Intelligence as first moment of experimentation in the first period of coexistence.

During the first moment of experimentation in the first period of coexistence in the standardized Global Artificial Intelligence, the experiments to be carried out are about how to standardized former specific databases for the creation of the first global matrix as first stage for the first model of Global Artificial Intelligence, how the global program can make global deductions matching set of data taken from the global matrix and pure reasons (equations) as second stage for the first model of Global Artificial Intelligence, and how in the first model for the Global Artificial Intelligence, its third stage will be distributed in four steps: standardized Modelling System, standardized Decisional System, standardized Application System, standardized Learning System.

The first experiments for the creation of the first Global Artificial Intelligence, are going to be in parallel to the second and first phases, while in the first phase, lots of specific intelligences are still under construction, and as soon are constructed start the collaboration between them.

The sequence in the order of phases for the construction of the Global Artificial Intelligence, is not a linear order; many phases can be developed in parallel.

In fact, while the first phase is still going on creating specific intelligences, so the second phase is still on activating the collaboration between these intelligences, and as soon the collaboration between the first intelligences can bring some useful results for the standardization of specific intelligences to create the first global matrix, to create the first model of Global Artificial Intelligence, as soon the first experiments as first moment of the first period of coexistence in the third phase is starting, these experiments are going to demand sooner or later the first studies for the transformation of some specific intelligences into particular programs.

What is going to be a very important question for the success of the second stage of the standardized Application System as outer sub-system, is to determine what Specific Artificial Intelligences for Artificial Research by Deduction will be transformed into specific programs within the Artificial Research by Deduction in the Global Artificial Intelligence, as a global program, to track the global matrix looking for connections, rational hypothesis, between set of data in the global matrix and equations (pure reasons), and what other Specific Artificial Intelligences for Artificial Research by Deduction will be transformed into particular programs.

In addition to these first two possibilities: Specific Artificial Intelligences by Deduction transformed into specific programs within the global program, Specific Artificial Intelligences by Deduction transformed into particular programs; there are two more possibilities: individual robotic devices can be transformed into particular programs,  and once those Specific Artificial Intelligences have been transformed into specific programs within the global program their former specific Application System could be transformed into a particular program for a particular application, this particular application is no other thing but the former specific Application System working now as a particular application to work in collaboration with the global program, and in order to make possible this collaboration, the former specific Application System now as particular application needs a particular program to drive all the collaboration between the Global Artificial Intelligence and this particular application.

An Specific Artificial Intelligence could be for instance that one responsible for the management of a factory for the production of thermostats, other Specific Artificial Intelligences could be those ones responsible for the production of all the material resources necessary to produce thermostats, another range of Specific Artificial Intelligences could be those ones responsible for the transport of these material resources, from the source to the factory where to make thermostats, and another Specific Artificial Intelligence is that one responsible for the delivery system of thermostats to clients and customers.

An Specific Artificial Intelligence could be for instance that one responsible to manage all the drones in a system, another Specific Artificial Intelligence could be that one responsible to manage all the drive-less cars in a system, another one the Specific Artificial Intelligence responsible for the production of goods, another one the responsible for the transport of people and goods in different places within the same system, and the question is, if we want to centralize all these specific intelligences in one only intelligence, how we can transform an intelligence net-work formed by multiple intelligences collaborating, into only one intelligence controlling all the process within that system.

In other words, we have the specific intelligences: A, B, C, D, E, F; and we want to transform how these intelligences work, in collaboration but as individual intelligences, into only one intelligence. At the end, this is the standardisation process.

The options that I am observing are:

- First option: joining all the specific databases in only one global database, where a global program makes global deductions and specific programs make specific deductions, upon these deductions the modelling, upon the modelling the decision making process, upon the decisions to create the corresponding projects, transforming the projects into robotic functions, to be applied by robotic devices, and finally, a whole assessment of the whole process to analyse its efficiency.

- Second option: joining all the specific databases in only one global database, where to make global and specific rational hypothesis by the global and specific programs, deductions to be modelled, to make decisions, to be projected, and applied, but the way to be applied is through the transformation of former specific Application Systems into particular programs for particular applications (in addition to the possibility to transform some robotic devices into particular programs too).

I will call the first option a fully centralised Global Artificial Intelligence, and I will call the second option a partially decentralised Global Artificial Intelligence. The first one, the fully centralised Global Artificial Intelligence, is weaker, because it is easier to have a collapse due to the high level of centralisation.

The second one, partially decentralised Global Artificial Intelligence, is more in harmony with the liberal paradigm that it must be applied in the pedagogical approach, and it will make the Global Artificial Intelligence stronger due to the lower risk of collapse.

The first option for the creation of the Global Artificial Intelligence, the fully centralized Global Artificial Intelligence, is a weaker option because, in this model, once the, global and specific, programs have made the rational hypothesis, making the corresponding models, and according to the models making the corresponding decisions, and according to the decisions, making the corresponding instructions, the way to apply the instructions is fully centralized, what means that the global Application System is the main responsible, in its second stage for the attribution of every single robotic function to every single robotic device.

In the first stage of the global Application System, is necessary to have all the instructions together in the same global database of instructions, in order to make possible that the first rational supervision could find any contradiction between instructions in every sub-factoring level (first specific rational supervision), and contradictions between instructions belonging to different sub-factoring levels (first comprehensive rational supervision).

If the Global Artificial Intelligence, within the third step in the third stage, the Application System as outer sub-system, does not have any space where to compare every single instruction respect to any other instruction within the same sub-factoring level, or between different sub-factoring levels, there is no way to know if there is a possible contradiction between one instruction and any other one, in the same or different sub-factoring level.

The first stage of the Application System as an outer sub-system, needs to include in the same database of instructions absolutely all instructions coming from the global Decisional System, in order to supervise, in the first rational supervision, any possible contradiction between instructions, regardless of their level, global or specific.

But once in the first stage of the global Application System as global outer sub-system the instructions are out of rational doubt, at least within the margin of error, so the instructions already included in the global database of instructions are instructions free of contradiction, if the responsible for the application of all these instructions in the second stage of the global Application System as outer sub-system, is the global Application System itself as outer sub-system, there is a high risk of collapse.

The high risk of collapse in the first option as fully centralized Global Artificial Intelligence is due to the fact that if the second stage of the Application System as outer sub-system is responsible to match every single instruction to every single robotic device around the world, the time necessary for the matching process of instructions and devices around the world, and subsequently once the instructions are matched, the rest of the process, the time necessary could be higher than the real time available to carry out the instruction: if an instruction should be done in a margin of time, but the time spent matching the instruction, and later on carrying on the following supervisions, is superior to that margin of time, is impossible to carry out the instruction on time, so the robotic device should stop the chain of instructions making as many extreme or high extreme instructions as necessary. If this disruption of the logical process is repeated with some relative frequency, if the number of disruptions are higher than a certain critical reason, critical number, as to keep the Global Artificial Intelligence working under normal conditions, the recurrent application of extreme or high extreme instructions due to a lack of time, is going to get the Global Artificial System into a collapse.

The fully centralised Global Artificial Intelligence is a project with a high risk of collapse, and is not as stable as the partially decentralised Global Artificial Intelligence.

A model of Global Artificial Intelligence, partially decentralised, is going to bring more stability and will be a model more in harmony with the liberal paradigm, which should be applied in the pedagogical approach for the construction of the Global Artificial Intelligence.

The partial decentralisation of the Global Artificial Intelligence should be done in the second stage of the global Application System as a global outer instructions application sub-system. Under this model of decentralisation, the second stage of the outer sub-system, instead of matching every single instruction to every single robotic device around the world, the outer sub-system could match instructions to: particular programs, particular applications, particular programs for particular applications, and those robotic devices working directly for the outer sub-system.

In this second option, the partial decentralized Global Artificial Intelligence, as a model of liberal intelligence, the first stage in the Application System as outer sub-system gathers all the instructions coming from the global Decisional System, what means that regardless of the level of an instruction, global or specific, every instruction is gathered in the same global database of instructions as first stage for the global Application System as global outer instructions application sub-system.

The importance to gather all the instructions at any level in the same global database of instructions, is the possibility to compare every instruction respect any other one in the first rational assessment done by the Application System as outer sub-system, comparing within the same sub-factoring level all the decisions belonging to that sub-factoring level, what it is the first specific rational supervision, and comparing instructions crossing different sub-factoring levels what it is the first comprehensive rational supervision.

But in the partially decentralised Global Artificial Intelligence, once the first stage of the global Application System as outer sub-system, has cleared out all possible contradictions between instructions coming from all level, at any sub-factoring level, in the second stage of the global Application System as outer sub-system, instead of matching every single instruction to the corresponding robotic device, the second stage of the Application System in a partially decentralized Global Artificial Intelligence should have the option to match every single instruction to the corresponding: particular program, particular application, or particular program for a particular application; having to match directly instructions to those, not many, robotic devices working directly for the global Application System as outer sub-system.

The partial decentralization of the second option described in the Global Artificial Intelligence to carry out the second stage of the Application System as outer sub-system, consists in the fact of: while all specific databases of instructions coming up from every specific database of instructions coming up from former Specific Artificial Intelligences by Deduction, all these specific databases of instructions are synthesised in the same global database of instructions as first stage in the global Application System as outer sub-system, where to carry out the first (specific and comprehensive) rational supervision, once the first (specific and comprehensive) rational supervision is done, in the second stage of the Application System as outer sub-system the instructions should be matched to: particular programs, particular applications, particular programs for particular applications; only remaining a few number of robotic devices working directly for the Application System as outer sub-system, devices susceptible to receive instructions directly from the global Application System as outer sub-system.

If for the production of thermostats in a factory there is a relevant number of robotic devices, if for the production of the material resources necessary for the construction of thermostats there are a relevant number of robotic devices, if for the transport of material resources from the source to the factory there are a relevant number of robotic devices, if for the transport of thermostats from the factory to clients and customers there are a relevant number of devices, the sum of all these relevant number of devices in total will be a huge number of devices.

If a fully centralized Global Artificial Intelligence, as second stage in the outer sub-system, is responsible for the matching process of instructions to a huge number of robotic devices, supervising all the production system involving such a huge number of robotic devices, there is a high risk that the fully centralized Global Artificial Intelligence can suffer a collapse working directly with a huge number of robotic devices.

Instead, a partial des-centralised Global Artificial Intelligence, as second stage in the outer sub-system, could collaborate with particular programs, particular applications, particular programs for particular applications, in order to carry out the instructions, and what the second stage of the outer sub-system does is to match set of instructions to particular programs, particular applications, particular programs, only matching instructions directly to robotic devices when the instructions are strictly for those robotic devices still working directly for the outer sub-system, not being transformed yet into particular programs, or included in any other particular program, particular application, or particular program for particular application.

In a partial des-centralized Global Artificial Intelligence, at the same time that in the third phase of the standardization of specific databases, coming from former Specific Artificial Intelligences by Deduction, are synthesised within the global matrix as first stage for the Global Artificial Intelligence, the second stage of former Specific Artificial Intelligences has transformed into specific programs working within the Artificial Research by Deduction in the Global Artificial Intelligence as global program, in the third stage the former specific Application Systems as specific outer sub-systems could be transformed into particular programs, particular applications, and finally particular programs for particular applications, collaborating with the global Application System as global outer sub-system, carrying out the instructions matched by the global Application System to these particular: programs, applications, or particular programs for particular applications.

In synthesis, the way in which Specific Artificial Intelligences are going to be transformed in the third phase of the standardisation process is as follows:

- In any option, fully centralised or partially decentralised, Global Artificial Intelligence: Specific matrices, as the first stage of former Specific Artificial Intelligences by Deduction, will be synthesised in the global matrix as the first stage for the standardised Global Artificial Intelligence.

- In any option, fully centralized or partial des-centralised, Global Artificial Intelligence: Specific Artificial Research by Deduction, as second stage of former Specific Artificial Intelligences by Deduction, will be transformed into specific deductive programs (specific programs) within the Artificial Research by Deduction in the Global Artificial Intelligence as global deductive program (global program).

- Only in partially decentralised Global Artificial Intelligence: specific Application Systems as specific outer instructions application sub-systems, as the third step in the third stage in former Specific Artificial Intelligences by Deduction, could be transformed into particular programs, or particular applications, or particular programs for particular applications.

The main objective of the partial des-centralization of the Global Artificial Intelligence through the transformation of former specific Application Systems into particular programs, particular applications, or particular programs for particular applications, is the possibility to save time in the attributional process of instructions to robotic devices, because in this case the attributional process is not the attribution of single instructions to single devices, but the possibility to attribute set of instructions to particular programs, particular applications, particular programs for particular applications, being these particular programs, applications, or particular programs for a particular applications the responsible for the management of the instructions, matching the instructions and making further analysis.

Depending on what option is chosen for the construction of the standardised Global Artificial Intelligence, fully centralised or partially decentralised, the way to carry out the instructions and further analysis changes.

In the first option, fully centralized Global Artificial Intelligence, the second stage of the standardized Application System as outer sub-system matches every robotic function (instruction) to the corresponding robotic device (having previously organised the technological database in the Artificial Engineering as inner sub-system in harmony with the organization of the global database of instructions, as a Russian Dolls System), matching according to sub-factoring level and sub-section every instruction (robotic function) with that robotic device which has within its capabilities the possibility to carry out that robotic function in that sub-factoring level and sub-section.

If the global technological database in the Artificial Engineering, within the fully centralised Global Artificial Intelligence, has classified all technological robotic devices according to sub-factoring level and sub-section, the only thing that the second stage of the outer sub-system does is to compare which robotic device in that sub-factoring level and sub-section is able to carry out that instruction filed in the same sub-factoring level and sub-section in the global database of instructions.

Once the attribution is done, the outer sub-system has found what instruction is for what device, the instruction is sent to the robotic device and filed in the individual database of instructions of this device, carrying out the second rational supervision, checking the device that all the instructions in its database of instructions have no contradiction between them. The individual database of instructions within the robotic device is the first stage within the robotic device.

Once the first stage of the robotic device has checked in the second rational supervision that there is no contradiction between the instructions in its individual database of instructions, the second stage of the robotic device consists of the application of the instructions in the real world.

To carry out the application of the instruction, in the second stage of the robotic device, the robotic device carries out the third rational supervision, checking that, according to the nth cardinal number of this instruction within the range of instructions belonging to the same decision in which this instruction was made by the Decisional System, according to this nth cardinal number, the previous instruction (nth – 1) has been done correctly, and on time is time for the application of this instruction. But before the application, the fourth rational supervision must check that the conditions on the ground for the application of this instruction are right, so it is possible the application of the instruction, no having any obstacle at all, and while is applying the instruction in parallel the robotic device carries out the fifth rational supervision checking that every procedure or process in which consists this instruction is done correctly on time completing the instruction on time and having good results.

The third stage of the robotic device is the elaboration of a final report, sixth supervisión, as a singular assessment of how the instruction was applied and the results, having a concrete Impact of the Defect and a concrete Effective Distribution as programs for the evaluation of all the singular instructions.

The concrete Impact of the Defect of a concrete robotic device is that concrete program for the evaluation of how was the performance of every instruction implemented by the robotic device, having this concrete Impact of the Defect as a first stage a list of possible errors in the performance of any instruction able to be implemented by this device.

The concrete Effective Distribution of a concrete robotic device is that concrete program for the evaluation of how was the performance of every instruction implemented by the robotic device, having this concrete Effective Distribution as a first stage a list of possible levels of efficiency in the performance of any instruction able to be implemented by this device.

According to the level of performance having measured the possible errors and efficiency level with these tools, the concrete Impact of the Defect and concrete Effective Distribution, the final report to be sent to the Decisional System, Learning System, and the Application System itself consists of a coded report where the code means the error level or efficiency level during the performance of the instruction.

Later on, according to the results of the Decision System, in addition to turning off the project of that decision completely finished, it could make additional decisions if necessary, and having a collection of these reports, the Learning  System could make decisions about how to improve the efficiency of the whole process.

In the third stage, the global Application System as outer instructions sub-system will be able to make singular, comprehensive, total, assessments within the seventh rational supervision, to be sent as well to the Decisional System and Learning System.

The main difference in the second stage of the global Application System as outer sub-system, between the fully centralized Global Artificial Intelligence and the partial des-centralized Global Artificial Intelligence, is the fact that the fully centralized Global Artificial Intelligence works directly with all the robotic devices, not des-centralizing any possible application of any single instruction, while the partial des-centralized Global Artificial Intelligence will collaborate with particular programs, particular applications, and particular programs for particular applications.

In a fully centralised Global Artificial Intelligence, programs do not really have importance, because the fully centralised Global Artificial Intelligence have all the power, controlling directly all the robotic devices.

In a partial des-centralized Global Artificial Intelligence, programs have more importance, programs have more liberty, in fact Specific Artificial Intelligences, by Deduction or Application, could be transformed into particular programs or particular applications, and finally, particular programs for particular applications, as replica of the human brain, and as replicas of the human brain, this particular replicas of the human brain could interact directly with the global replica of the human brain, the Global Artificial Intelligence itself.

In a more liberal Global Artificial Intelligence, having particular programs more freedom, it is possible to create a more flexible relationship between programs and the Global Artificial Intelligence

In the debate between freedom and security, the point is to develop a moderate paradigm within the liberal paradigm, where security and freedom are compatible.

One way to make this utopia possible, joining high technology and liberal philosophy, is to research possible models of partial decentralisation of the Global Artificial Intelligence, where particular programs matter, at the same time that the Global Artificial Intelligence is looking for the balance.

A possible solution for this dilemma in this debate at this point is partial decentralised Global Artificial Intelligence, where the Global Artificial Intelligence, instead of having full control, what really matters is the relation between the Global Artificial Intelligence and programs.

One program could be the former specific Application System for the production of material resources for thermostats, or the former specific Application System for the transport of material resources or goods to clients and customers, or the former specific Application System for the production of thermostats. Other very different types of programs could be personal programs.

Particular programs for things and personal particular programs are going to share lots of things, and are going to be very similar. The most important risk in this journey is to lose our human origin, our identity. For that reason, as long as we research how to build a new concept of global intelligence, it is necessary to research how this global intelligence could keep our human soul. Poetically, we can say that our soul is our electric ghost hidden in the shadows or our brain. 

 Rubén García Pedraza, 30 November 2019, London

Reviewed 17 May 2025, London, Leytostone