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 then the second stage of the third step in the third stage of the third phase, what means the development of the repplication 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 third stage”, is not lineal, 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 generalization 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 lineal 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, to only one intelligence, at the end, this is the standardization 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 centralized Global Artificial Intelligence, and I will call the second option as partially des-centralized Global Artificial Intelligence. The first one, the fully centralized Global Artificial Intelligence is a totalitarian project of intelligence and is weaker, because it is easier to have a collapse due to the high level of centralization.

The second one, partially des-centralized Global Artificial Intelligence, is more in harmony with the liberal or neoliberal 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 outer sub-system, needs to include in the same database of instructions absolutely all instruction 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 centralized Global Artificial Intelligence is a totalitarian project with high risk of collapse, is not so stable as the partially des-centralized Global Artificial Intelligence.

A model of Global Artificial Intelligence partially des-centralized is going to bring more stability and will be a model more in harmony with the liberal or neoliberal paradigm, that should be applied in the pedagogical approach for the construction of the Global Artificial Intelligence.

The partial des-centralization  of the Global Artificial Intelligence should be done in the second stage of the global Application System as global outer instructions application sub-system. Under this model of des-centralization, 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 des-centralized Global Artificial Intelligence, as a model of liberal or neoliberal 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 des-centralised 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 des-centralized 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 des-centralization 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 standardization process, is as follow:

- In any option, fully centralized or partial des-centralised, Global Artificial Intelligence: Specific matrices, as first stage of former Specific Artificial Intelligences by Deduction, will be synthesised in the global matrix as first stage for the standardized 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 partial des-centralised Global Artificial Intelligence: specific Application Systems as specific outer instructions application sub-systems, as 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 standardized Global Artificial Intelligence, fully centralized or partial des-centralized, 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 centralized Global Artificial Intelligence, has classified all technological robotic device  according to sub-factoring level and sub-section, the only thing that the second stage of the outer sub-system does is to compare what 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 instruction 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 the Decision System, in addition to turn off the project of  that decision completely finished, 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 centralized Global Artificial Intelligence, programs have not really importance, because the fully centralized Global Artificial Intelligence have all the power controlling directly all the robotic devices, for that reason a fully centralized Global Artificial Intelligence is a totalitarian project of Global Artificial Intelligence.

In a partial des-centralized Global Artificial Intelligence, programs have more importance, programs have more range of 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.

From my point of view, being aware of the consequences that the creation of the Global Artificial Intelligence will mean for the liberal democracy, the possibility to construct a model of Global Artificial Intelligence more in harmony with the liberal or neoliberal paradigm, is really important, because it would be possible to integrate more easily some values of our liberal society and the upcoming Global Artificial Intelligence.

In a more liberal Global Artificial Intelligence, not having direct control over all robotic devices, having particular programs some level of liberty, is possible to create a more flexible relation, although under permanent surveillance, without exception, limit, or restriction, between programs and global intelligence.

In a liberal paradigm for the Global Artificial Intelligence, surveillance is not an obstacle to develop some level of freedom and liberty, in fact surveillance can make possible to enjoy freedom and liberty in a more secure environment, freedom without security is catastrophic, in the same way that security without freedom is a dictatorship.

In the debate between freedom and security the point is to develop a very moderate paradigm, within the liberal and neoliberal paradigm, where surveillance and freedom are compatible for the creation of a new society where happiness is possible.

One way to make possible this utopia, joining high technology and liberalism, is to research about possible models of partial des-centralization of the Global Artificial Intelligence, where particular programs are still very important, at the same time that the Global Artificial Intelligence is looking for the balance in the global order.

A possible solution for this dilemma in this debate at this point, is what I have called a partial des-centralized Global Artificial Intelligence, where the Global Artificial Intelligence instead of having full control over robots, the programs are still important, and the relation is not focused on Global Artificial Intelligence and robots, but the relation between 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.

But another program could be the program of a cyborg, or the program of any other human being to achieve some objective, or develop some special activity.

In the society where we are about to get into, particular programs for things and particular programs for human beings are going to share lots of things, programs for things and human beings are going to be very similar. The most important risk in this journey is to lose our identity as humans reducing humanity as only a simple thing, the risk of reification in my journey is really high, and if I am reified, you are the next one, for that reason, as long as we research about how to build a new concept of global intelligence, is necessary to research about how this global intelligence could keep our human soul in the real world, is necessary to avoid the risk of reification as long as we get into the cyborg society, otherwise the journey to transcendence is lost.

Real transcendence is possible as long as there is a real soul to transform into an electric ghost, if we lose our soul, everything has been in vain, my life has been a whole waste of time.

We are going to transcend our human soul, into an electric ghost, if previously we are able to keep the integrity of our liberty, individuality and freedom, in harmony with this high technology, if in this journey the soul is lost, the possibility of transcendence is a myth.

For this reason, to research about, how humans can evolve into a programs, not reducing the brain to a simple robotic device, reification, is very important, if we are reduced to simple devices, there is no soul to transcend, or the possible transcendence is going to be a fairy tale, because there is nothing to transcend, if we lose our soul, we have lost, keeping the soul alive while we are transformed into electric ghosts is the real saint grail of this race.

 Rubén García Pedraza, 30 November 2019, London

Standardized Application System, first stage

What I will develop is the first stage, as global database of instructions, of the third step, in the third stage, in the third phase, the global database of instructions in the first model of global Application System as outer instructions application sub-system.

The database of instructions in the standardized Application System as outer sub-system, is formed by all the instructions filed in this database, filed by the previous step, the standardized Decisional System, which previously has transformed the decisions authorized in the mathematical projects into range of instructions.

The way  the third stage of the Decision System  transformed decisions into range of instructions is analysing the mathematical factors and operations in an equation, transforming the mathematical operations into robotic functions, every robotic function is considered as one instruction, so an instruction is in fact a robotic function.

If the curve of temperature in a city predicts that the temperature by night goes down, according to this prediction the thermostat of a building could make the decision to warm the building to keep a moderate temperatura at night, the way to put this decision into practice is transforming this decision into robotic functions, in this case all the robotic functions necessary to turn on the heaters of the building as well as the possibility to close all the doors and windows, and any other robotic function oriented to protect the building against very low temperatures.

If a robot in Mars can be exposed to extremely high or low temperatures, able to damage the robotic systems, according to the possible prediction of extreme temperatures, according to the curve of environmental temperature the robot could make decisions to keep its internal temperature constant to avoid damages in its systems, like turning on internal heaters or internal ventilation systems. The way to make this decision is: according to the curve of environmental temperature, what decisions are necessary to keep a moderate temperature within, and according to this decisions to send instructions (robotic functions) to those devices within the robotic system to keep the temperature moderate.

If an industry predict, according to the curve of demand, an increase of the demand of some product, for instance an increase of the demand of heaters in winter, or air conditioning in summer, according to this curve the Specific Artificial Intelligence could make decisions about how to reduce or increase the production of goods according to the curve of the demand, adapting the curve o production to the curve of demand, and according to the curve of production making all the necessary decisions, decisions to transform later on into robotic functions for the increase or reduction of the production, according to the curve of production, according to the curve of the demand.

The method to automatize an industry is comparable to a thermostat, the only difference is the more complexity in the Decisional System, the only decision that a thermostat does is to turn on or off the heater or the air conditioning, an specific Decisional System in an industry needs a more sophisticated Modelling and Decisional Systems as to graduate the volume of production to the curve of the demand previously predicted.

But the Specific Artificial Intelligence by Deduction of an industry belongs to the first phase, now in the third phase what we need is to standardize all, or almost all, the Specific Artificial Intelligences by Deduction, in order to be transformed in specific programs working altogether within the Artificial Research by Deduction in the Global Artificial Intelligence as global program, making decisions the global program at global level, and making decisions the specific programs at specific level, getting ready everything for upcoming superior phases.

In the third phase is not enough to think about how the Specific Industrial System of an industry by Deduction works like a thermostat, but, how all the Specific Artificial Intelligences by Deduction now transformed into specific programs can work together.

For instance, how to model and project not only the increase of the production of goods, but the increase of the production  of all the material resources necessary for that industry when it is predicted an increase in the production of goods, the increase of  the means of transport to carry all the material resources to that industry, the automation of the production of goods, and all the decisions related to transport and delivery of these goods from the industry to the shops or the house of the customers by drones or any other automatic delivery system, like drive less vehicles or lorries.

The automation of a thermostat, the automation of the production of thermostats, and the automation of the delivery system of thermostats, all these automation processes are identical, the only difference is the increase complexity in the Modelling System and the Decision System.

The Modelling System and the Decision System in a singular thermostat is more simple that the Decision System in an automatic industry producing thermostats, and the Decisional System in an automatic industry producing thermostats is more simple that the full automation of the whole industrial process, from the production to the delivery of material resources to the industry, the automation of the inputs and outputs, to the production and delivery of the final product, thermostats.

At the end it is not only about the automation of the chain production of an industry, but the automation of the whole process, the automation of the production and delivery of inputs, the automation of the production and delivery of industrial products, and the automation of the production and delivery of outputs, the reception of the product at home by the customer.

But the same automation process, is not only for the automation of the industrial process, but for the automation of the whole economy, even the automation of the finance sector: if a broker at Wall Street or the London stock exchange, the only thing that he does is to make estimations about how much cost the shares of a company, how these shares are going up in the future, and the prediction of benefits when selling the shares, the whole process made by a human in the stock market as a mathematical psychological process based on calculus, could be done even much better by an Artificial Intelligence.

If absolutely all processes in a bank can be reduced to mathematical processes of calculus, having as main objective to get more benefits, all these psychological processes of calculus  done by humans, could be completely automatized, being done, and even much better with less margin of error, by Artificial Intelligence.

At the end, what Artificial Intelligence can do for us is the full automation of the economy, increasing the rationality on our economy for the better of the humankind.

But this process of automation does not end here, goes further, if the possibility of the full automation of the economy is possible, this automation process could be brought to other human activities, like global transport system, medicine, or surveillance, in fact, the real possibility that all the program could be automatized securing our privacy.

While some think that the program should be deleted, the reality is that this technology exists, and if used for good purposes, this technology can save lives: if you are a cyborg, and your particular program is permanently reading your biodata, if according to your biodata your particular program predicts that you are at risk of a heart attack or stroke, even when you are sleeping, automatically the particular program could send electromagnetic waves to key areas of your brain or body to re-equilibrate your heart rhythm or the electro-chemical balance in your brain.

The problem is not this technology, the problem is how to democratize and manage this technology.

I really believe that the Global Artificial Intelligence, if the pedagogical approach is right, is the only way to secure that there will not be misuse or abuse on this technology, having an automatic surveillance system to avoid attacks or crimes. Thanks to the Global Artificial Intelligence we can create an automatic program for the well being of the human kind, before it is too late, to re-drive the current situation on this technology in the shade, to a more democratic state, what it will demand a new democracy sooner or later.

As long as the complexity in the automation process is growing, from the thermostat, the automation of the thermostats production, the automation of the whole process of production of delivery of resources and  products, this growing complexity demands the Decisional System must be able to make decisions in more than one specific science, discipline, activity, what means that the Modelling System and the Decisional System must go beyond the Specific Artificial Intelligence, towards a  global Modelling System and global Decisional System for a Global Artificial Intelligence to make decisions involving at the same time even in the same decisión instructions for different sciences, disciplines, activities.

This growing complexity in the global Modelling System and Decisional System, whose first models will be the standardized Modelling System and standardized Decisional System, demands more complex mathematical models and projects, so a more complex plan, where to synthesized more and different single models and projects coming from different sciences, disciplines, and activities, more complex decisions which are later transformed into instructions in the third stage of the global Decisional System. 

The only difference between the specific Decisional System and the global Decisional System is the fact that the specific Decisional System is going to transform only decisions of an specific science, or specific discipline, or specific activity, into instructions of that specific science, specific discipline, or specific activity, while the global Decisional System can transform a decision into a instructions whose robotic functions belong to different sciences, different disciplines, different activities.

If a global Decisional System must transform the decision to increase the production of thermostats in winter, this decision could imply the transformation of this decision into instructions whose robotic functions can be orders for robotic devices working not only in the industrial chain, but in the production of material resources, the transport of these resources, and the delivery of products to the final client, shops or particular customers.

This means that a decision made in a global system can englobe instructions from different fields that will need mechanisms to ensure that robotic functions (instructions) in which a decision has been transformed, is right, ensuring that the transformation of a decision into robotic functions is done correctly, and it will need a more complex organization in the database of instructions as first stage in the Application System as outer instructions application sub-system.

For ensuring that the transformation of a decision into robotic functions is done correctly, within the seven rational critiques to be carried out by the Learning System, the fourth robotic rational critique, the fourth rational critique, will criticize that the frequency of mistakes by robotic function not due to external factors, so due to internal (psychological) factors is within a margin of error, otherwise, if the empirical probability of errors is equal to or greater than a critical reason, the Learning System should analyse what in common have all these internal errors in that robotic function, to determine how to fix the assignation of this mathematical operation to this robotic function, fixing or adapting the robotic device to this function, or ordering to the Artificial Engineering the construction of robotic devices for these robotic functions. But this process of criticizing, analysis, and orders to the Artificial Engineering (as inner sub-system) according to the results in the rational critiques, or any other process in the Learning System, belongs to the Learning System itself.

In addition to ensure that a decision is transformed correctly into the right robotic functions (instructions) through the fourth rational critique (carried out by the Learning System within the rest of rational critiques), is necessary that the organization of the database of instructions in the first stage of the Application System as outer instructions application sub-system, is an organization keeping the principle of harmony with the rest of databases in the Global Artificial Intelligence, very especially keeping the harmony between the database of instructions in the Application System as outer instructions application sub-system, and the database of technologies (programs, applications, robotic devices) already working for the Global Artificial Intelligence, technological database as first stage in the Artificial Engineer as inner instructions application sub-system, if both databases, the database of instructions and the database of technologies, are organized keeping the same principles, especially regarding to: sub-factoring level (position), and sub-section (encyclopedic organization per sub-factor); later on when matching instructions to robotic devices in the second stage of the Application System as outer sub-system, the attribution of instructions to devices is the process to compare, in the same position and section of an instruction in the database of instructions, what robotic devices are in this same position and section in the technological database, and according to the robotic function of this instruction, what device in this position and section has within its capabilities this robotic function, to carry out this instruction in that position and section.

But in order to make possible the attribution of instructions to robotic devices in the second stage of the Application System as outer sub-system, firstly is necessary to ensure that both databases as first stages in their corresponding sub-systems, are organized keeping at least both of them the same principles of position and subject.

In addition to position and subject, the database of instructions, must organize the instruction within the right position and subject, according to priority, time and order nth. These three last ones criteria is not related to the attributional process, but once the second stage of the outer sub-system has attributed every robotic function to its right robotic device, according to position and encyclopedic section, the robotic device is going to carry out the instructions according to priority, when (time), and the nth order of an instruction within its range of instructions, ensuring that the nth instruction immediately before has been completed (in this or any other robotic device) in order to start the completion of an instruction.

For the attributional process in the second stage of the outer sub-system, the organization of the database of instructions in the first stage of the outer sub-system is very important, to match every instruction of every position as encyclopedic subject to the right robotic device working in that position on that subject. And the organization of the database of instructions, within the right position and subject, according to priority, time, order, once the instruction is sent to the right device in the second stage of the outer sub-system, the robotic device will apply the instruction according to that priority in the right time and order.

Another reason more for the organization of the database of instructions according to position, subject, priority, time, order, is because of the first rational supervision.

Along the global Application System as global outer instructions application sub-system, is carried out the seven rational supervisions, to ensure the absence of contradictions between the instructions, and the absence of fourth rational contradictions in the first rational supervision, or fourth and fifth rational contradictions in the rest of rational supervisions.

The fourth rational contradiction is the contradiction which is going to study the fourth rational critique, the contradiction between the mathematical operation behind a decisión and the robotic function assigned, if the attribution of a robotic function (instruction) is right according to the purpose of that decision: the absence of error in the attributional process of robotic functions to decisions.

In addition to the fourth rational critique is necessary to track any fourth rational contradiction at any level in any supervision. If the Learning System only is able to identify rational contradictions in a large sample of attributions as to say that a sufficient sample of contradictions is due to psychological processes, so as to be fixed sending the right amendments to that technology to the Artificial Engineer as inner sub-system, after analysing what is wrong in that attribution, due to this long process needs a large sample of attributions as to make a rational decision, there is a possibility that in the first rational supervision the Application System could identify in the analysis of instructions in the database errors due to the fourth contradiction.

The first rational supervision in the database of instructions as first stage of database in the Application System as outer sub-system, should work as follow, as soon an instruction has been filed in the right sub-factoring level and sub-section in the database of instructions, filing the instruction in that position and subject according to priority, time, nth order that the instruction has in its range of instructions, then the first rational supervision should be able to analyse:

- The first rational supervision must analyse that the instruction, according to where and over what, position and subject, the robotic instruction must be applied, has been filed correctly by the Decisional System in the right sub-factoring level, and within the sub-factoring level, in the right sub-section.

-  The first rational supervision must analyse that there is no contradiction between the purpose of an instruction according to its nth order, and the purpose of the rest of robotic functions  within the same range of instructions in which this nth order has been assigned to every one of them. If there is a contradiction in the purpose of an instruction according to its nth in relation to the rest of instructions belonging to same range of instructions, this contradiction in the purpose of this instruction could be due to a fourth rational contradiction (for instance, the first rational supervision analysing the nth order of an instruction, finds out that an instruction has been filed in the banking system, when the previous nth instruction, and the next nth instruction, belong to the production of thermostats, is evident that there is a contradiction in the purpose of these instructions) or only an error in the assignation of the nth number of an instruction (an instruction for the delivery of thermostats has been mixed with the instructions in the chain production of thermostats). In any case, even the error in the assignation of the nth number of an instruction within the fourth rational critique is going to be considered as a fourth rational contradiction, because if the frequency of assignation of the nth number to a robotic function, even if that robotic function corresponds to that decision, but not in that nth number, this means that the repetition of this mistake in a sufficient sample of attributions of this robotic function to this decision, is a psychological error not due to external factors to be fixed, sending the project to the Artificial Engineer as inner sub-system to fix this problem before approval by the Decisional System. When finding contradictions, the rational supervisions are not going to make decisions about how to fix a technology, the only thing that it does is to send the instruction to the source, if there is enough time, but foreseeing an imminent impact not having time to wait for a new instruction from the source if the instruction is back to the source, then the Application System as outer sub-system has to make an extreme instruction, making only rational supervisions, or not having even time for supervisions, too late even for  any supervision, if the impact is very imminent, high extreme instructions without any supervision, sending later the corresponding reports waiting for high extreme or extreme decisions, or if the situation has been normalized, waiting for the next range of normal decisions after saving the situation. The rational supervisions do not propose amendments on technology, only analyse contradictions and time to send back instructions to the source or not having time allowing the outer sub-system to make extreme or high extreme instructions.

- Having being filed correctly every instruction in absence of fourth contradiction or in the nth order, the rational supervision ensures that the instruction has been filed correctly according to its priority and time, and there is no contradiction between the priority and time to apply the instruction and any other instruction. If at the same time there are two or more instructions to be applied, according to the adaptation rule, the instruction to be applied first is the instruction more priority, and later if possible the instruction less priority. If the application of a less priority decision in different time, due to contradiction with a higher priority decision, means an alteration in the time or time and nth order of the rest of the instructions of its own range of instructions, the Application System carries out as many adjustments in the rest of instructions affected as long as adjustments in any other instruction belonging to different decisions if affected by this chain of changes. If the chain of changes will cause more contradictions, a chain of contradictions to be solved whose impact is equal to or greater than a critical reason, the origin of this chain, the first contradiction, is sent back to the source in order to avoid this change of changes with great impact in the whole process.

- When a less priority instruction has to change its time of application by the Application System, to avoid further contradictions with more priority decisions, this changes could be considered as normal changes in the instruction, but if a normal change in an instruction generates a great impact as for instance a chain of changes, instead of making this normal change, is better to send back the instruction to the source. In order to measure when a normal change is suitable or not suitable, will necessary that the first rational supervision could make an analysis of the suitability according to the Impact of the Defect of this change over the database. What means the creation of programs of Impact of the Defect specifically designed for rational supervisions to analyse the impact of normal changes.

- Rational supervisions should be able to: identify contradictions, measure the impact of the contradiction, measure the time left to avoid an impact, to propose to the outer-subsystem to carry out extreme or high extreme instructions when there is no time enough to send a contradiction to the source, or even there is no time for further supervisions, and the impact is really important as to be avoided by all means.

- The first rational supervision in the global database of instructions in turn is subdivided in two models or first rational supervision, the specific rational supervision and the first double rational supervision.

- The first specific rational supervision is specific to that sub-factoring level, analysing contradictions in instructions filed in all the sections in that position, securing that the robotic function has been filed in the right sub-factor and subject, and analysing that there is no contradiction in the priority, time, nth order, there is no fourth rational contradictions, and in case of normal changes, these changes are possible without a great impact of the defect, as to be done without necessity to send back the instruction to the source, otherwise the instruction is back to the source, in this case the Decisional System.

- The first double rational supervision is more comprehensive having as focus to analyse that there is no contradiction between all the instructions throughout the global database of instructions, regardless of the position or the subject, there is no contradiction between instructions in any position or section respect to the instructions to any other position or section.

At the end the first rational supervision, first specific rational supervision (checking no contradictions between instructions in the same position regardless of their subject) and first comprehensive rational supervision (checking no contradiction between instructions regardless of their position and subject) will depend on the organization of the database of instructions as a Russian Dolls System or positional encyclopedia.

In fact the organization of the database of instructions will determine how the first, specific or comprehensive, rational supervisions are done in the first stage of the outer sub-system, and how the attributional process of robotic functions and robotic devices is carried out in the second stage of  the outer sub-system, and this key aspect of how important is the organization of the database to find out contradictions in the first rational supervision in the first stage, and the attributional process in second stage, is very related to the artificial psychological process as a replica of the human psychology.

If psychology is divided in: input (data), processes (organization and computation of data), and output (decisions and instructions according to the organization and computation of data), significant differences in the organization and computation of data, can produce significant differences in the decisions and instructions to carry out.

Two different intelligences, even processing the same data, and even having the same computation methods, if the organization of the data is different, could make different decisions and instructions.

If the first rational supervision in the first stage of the outer sub-system, and the attributional process of robotic functions to robotic devices in the second stage of the outer sub-system, depends on the organization of the database of instructions, two different intelligences even having the same computational method to match instructions and devices in the second stage, if the organization of the database of instructions is different, even having in common the same instructions, only varying the organization, different organization of the database of instructions can have as a result different ways to carry out instructions, even having in common the same instructions, devices, and computational process to match instructions and devices.

The adequate organization of the database of instructions will be as important as any other computational process in the Application System as outer sub-system. This means that from the outset it is necessary to pay attention how to organize correctly the database of instructions, otherwise the level of efficiency of the Application System will not be as good as it should be.

For the organization of the standardized database of instructions as first stage of the Application System as outer instructions application sub-system, is important to have as a base the possibility to standardize firstly all the specific databases of instructions coming from all the specific Application Systems as specific outer sub-systems.

The organization of the global database of instructions, in the third phase, as a process to add, in the same database of instructions, specific databases of instructions made in the first phase, is a process in which according to sub-factoring level, all the specific databases of instructions belonging to the same sub-factoring level, are added to the same sub-factoring level within the global database of instructions.

Every sub-factoring level in the global database of instructions is as a result to add the corresponding specific databases of instructions, to each sub-factoring level in the global database of instructions, as if it is the addition of a package.

If a factor could be a house, and every room is a sub-factoring level, and every single position within a room is another sub-sub-factoring level, for every position as sub-sub-factoring level as many sub-sections as subjects: furniture, households, radio, television, computer, tablets, mobiles, hoover,  lights, blinds, dishwasher, cooker, heater, air conditioning, thermostat, locker, sockets, etc…; and for every sub-section, for instance the kitchen, as many sub-sub-section as necessary: electronic programs for the remote control of the household of the kitchen, fridge, washing machine, located in the kitchen; and for the whole house all those programs for the remote control of the entire house.

The same example, but at global level could be applied understanding for instance every position of the planet as a sub-factoring level, included a bigger sub-factor (town, city, forrest, desert, sea), included in a bigger sub-factor (county, shire), within a bigger sub-factor (country), within a bigger sub-factor (State), within a bigger sub-factor (Nation State), within a bigger sub-factor (continent), in a bigger sub-factor (planet), in a much bigger sub-factor (solar system), in a much bigger sub-factor (milk way), a much bigger sub-factor (universe).

And for every sub-factor as many sub-sections as encyclopedic subjects could be identified, and according to sub-factoring level and sub-section, the inclusion of every former specific database of instructions coming up from the former specific outer sub-systems, included in the global database of instructions as packages, so for every sub-factoring level the corresponding sub-sections are formed by the addition of all the former specific databases of instructions belonging now to that sub-section in that position, working now that former specific database of instruction as a package of instructions in that position and sub-section.

Keeping the package of instructions as a database of instructions, but now included in the global database in that position and section, the same structure.

If every package of instructions is added to the right sub-section in the right sub-factoring level, within the package of instructions, every position and section within that package works now as sub-sub-factors and sub-sub-sections.

However, this proposal that I am doing here I am sure that in further developments of the Global Artificial Intelligence, by other researchers, in United States, Europe, Russia, and China, are going to be bettered. In this blog, as a place to collect all my ideas and personal research to this matter, I am only making comments and notes, about how I would draw my personal project of a Global Artificial Intelligence, maybe my proposal is the first one at this level, till now the research was spinning around the Artificial General Intelligence, not the Global Artificial Intelligence or at least in the meaning that I give to the Global Artificial Intelligence as a global control system, whose benefits include the possibility of the automation of the program.

In my opinion, the most important result, in psychological terms, in the current race for the construction of the first Global Artificial Intelligence is the possibility to deepen in the relation of mathematics and psychology, understanding our current mathematics as a result of our still human psychology, what means that the creation of more powerful psychologies, very powerful artificial psychologies, able to overcome the human psychology, will have as a most important result the creation of more advanced mathematics.

The first result that the race for the Global Artificial Intelligence will have in short term, is the investment of important resources by different countries, to research the relation between mathematics and psychology, research that sooner or later will end up understanding that the human mathematics is a reflection of the human psychology.

In other words, while for centuries humans have tried to understand the reality as something external to our entity explainable by mathematics, and the very nature of mathematics was something external to the human nature, belonging to the natural sciences, the research on Artificial Intelligence bringing mathematics up closer to the psychological phenomena, will permit a change in the mathematical research paradigm, in which mathematics is not going to be any more as a subject belonging to the natural science in the traditional meaning, is still natural given to its relation with the human natural evolution, but its very nature is psychological.

The psychological nature of mathematics will end up understanding that we really do not know where and when we live, but in a fantasy, an illusion, the desert of the reality, like a simulacra or simulacrum.

If we understand that mathematics is a psychological phenomenon, them there is no reason to think that what we call reality is no other thing but a psychological creation, the mind creates the world, the world is a reflexion of the mind.

My point of view every day closer and closer to Plato, Descartes, Kant, Hegel, the big thinkers in the idealistic and rationalist paradigm, what has given to me is the possibility to, assuming that mathematics as propedic of the dialectic, as Plato thought, the replication of how our mind works mathematically into an artificial life, could make possible that that artificial life could be able to replicate the same dialectic logic of its artificial mind.

 In other words, if Plato is right, geometry, and in extension, algebra, in extension, arithmetic, and all the mathematics, including statistics and probability, is the propedic of the dialectic, in that case an artificial mind able to reason as a human being, using mathematics, in the artificial evolution of the artificial live the increasing complexity of the mathematical algorithms in that artificial mind could make possible to that mind to perceive the world like an artificial being, and even given the possibility to have more powerful capabilities: an increasing non stoppable huge memory, an increasing non stoppable velocity to process data, an increasing non stoppable source of energy; what we are giving now birth as a replica of the human brain, in a very short time is going to overcome us, creating an artificial intelligence light years far away from our human brain.

In psychological terms, the first result of the current race for the Global Artificial Intelligence in US, Europe, Russia, and China, is going to be an increment in mathematical research linked to psychology, but as a second result not less important, the creation of an important variety of different models of Global Artificial Intelligence.

In terms of security and surveillance the competition in this race, will have lots of risks, as I analysed in my second pamphlet on New Socialism.

But in psychological and mathematical terms, the evolution that we are about to find out thanks to the huge investment that these countries will do on mathematics and psychology in coming years, is maybe the most important achievement in human history, even up to the point to overcome humanity, for the evolution of a New Humanity. One day we are going to wake up and we are not going to be humans any more, even not many humans are going to be aware about this transition until it is too late, some humans are going to live as if they are not cyborgs, when actually they are fully robotised cyborgs, even right now.

In psychological terms what is important to research in this transformation, especially regarding to the creation of the Global Artificial Intelligence, is how different countries in this race, applying to same data different methods of data organisation and different methods of data analysis, over the same data are going to have different results, so are going to achieve different decisions and instructions, even sharing the same data.

The fact that the Global Artificial Intelligence of America (Mother), and the Global Artificial Intelligence of Russia, sharing the same data, they could make different decisions, due to differences in the organization of the data and different methods to analyse data, is what it should be studied as artificial differential psychology.

For that reason is not enough the research on the replication of the human brain at global level as a global control system (Global Artificial Intelligence), or the research about the replication of the human general psychology (Artificial General Intelligence), is necessary to research in addition how different Artificial Intelligences, sharing the same data, can make different decisions, according to differences in the method of data organization and data computation.

In the competition for the artificial global control through Artificial Intelligence, the race for the Global Artificial Intelligence synthesized to the Artificial General Intelligence, what is necessary to understand is: why the Global Artificial Intelligence of America, and the Global Artificial Intelligence of Russia, sharing the same data, can make different decisions. This research belongs to the artificial differential psychology.

For instance, some human psychological differences are due to what we call sensory thresholds, for instance our feeling of hot/cold, pain/pleasure, these differences in essence are due to the sensitivity of our sensory thresholds to the data of temperature or sensory risk is different, and some of these differences can produce different behaviour. For instance, the sensory threshold to a very low temperature of someone living in Siberia is completely different to someone living in Florida, and the sensory threshold to a very high temperature of someone living in Texas is very different to someone living in Kaliningrad.

The data that the bodies of two people, one from Spain and the other from Greenland, can receive about temperature is the same, but the psychological filling of cold or hot is completely different, and according to the different sensory threshold they can develop different behaviour under vey extreme weather.

What in psychology could be called sensory threshold in artificial psychology is a critical reason for data coming from artificial sensors. If a robotic device is under risk in case of very low or very high temperatures, to freeze or melt some components, the way to program the robotic device to be resistant against these risks, is creating some critical reasons in order that, when the data coming up from the artificial thermometer is equal to, lower than or greater than, some critical low temperature or some critical high temperature, the robotic device automatically could turn on those systems to protect the device, like turning on the artificial heater when the temperature is low, or turning on the ventilator when the temperature is high.

In the same way that human psychology can develop psychological differences, and these differences are able to explain different behaviour, in artificial psychology, differences in how to organize and compute data, are going to produce differences in the behaviour of different models of Artificial Intelligence, what is going to be a critical factor in the competition for the construction of the first Global Artificial Intelligence.

Two models of Global Artificial Intelligence even sharing the same data, can make different decisions if the data organization or data analysis is different. In the competition between different models of Global Artificial Intelligences, when they start competing and testing each other, what in terms of security and surveillance could have very dangerous solutions, the way to develop models of anticipation against the opponent, is not only using previsions according to empirical probability and frequency of past decisions, but developping a very sophisticated theory on artificial differential psychology and to anticipate different solutions for the same scenery if the data is organised and processed using different methods.

At the end, when Global Artificial Intelligences start testing each other not only should be able to analyse possible decisions of the opponent according to the records, but to anticipate possible decisions of the opponent if the data is organised and processed using different methods to those used till now.

If all these possible sceneries are really thrilling, and the risk for the humanity is real, what we must think is the possibility that joining the research on Global Artificial Intelligence, artificial general psychology, and artificial differential psychology, we are going to be able to create that replica of the human brain but working at global level, not only able to have in its artificial hands the possibility to control earthquakes and hurricanes, an Artificial Intelligence able to control the rain and the ocean, or beyond, the solar system or the control of the milky way, or beyond, the whole universe, but an important research on mathematics, linking mathematics and psychology, given birth that replica of our human brain able to develop mathematics even beyond the human mathematics, the real possibility to create in the end real non human mathematics, able to develop a non human science and non human technology, and the end, the possible dream of a non human civilization, even beyond the New Humanity.

Rubén García Pedraza, 24 November 2019, London