Particular Decisional System

The particular Decisional System is designed in the fifth phase, for the construction, firstly, of the first Particular Deductive Programs for particular things or beings (while separately the first Particular Applications for particular things or beings are constructed as well), secondly, the synthesis of Particular Applications and particular programs creating the first Particular Applications for Particular Deductive Programs for particular things or beings, working within the Artificial Research by Deduction in the Global Artificial Intelligence, evolving towards the Global Artificial Intelligence.

This long process in the fifth phase is going to be made through at least three different periods:

- First period of coexistence: Specific Artificial Intelligences for Artificial Research, by Deduction or Application, still works on the reality, while the standardization process is still in the first period of coexistence, only when experiments in the Artificial Research by Deduction in the Global Artificial Intelligence start having successful results, Specific Artificial Intelligences for Artificial Research by Deduction are about to be transformed into specific programs within the Artificial Research by Deduction in the Global Artificial Intelligence. When the transformation process of Specific Artificial Intelligences starts, another possible evolution is their transformation into particular programs, starting the second period of formation in particular programs.

- Second period of formation, when Specific Artificial Intelligences for Artificial Research, by Deduction or Application, start being transformed into either specific deductive programs or particular deductive programs. Particularly in the fifth phase, the second period of formation will have two different moments, the first one of experimentation, followed by the second moment of generalisation after getting successful results. Firstly, experimentation in particular programs, separately, and particular applications. Secondly, experimentation for the union of both in one: particular programs for particular applications or particular applications for particular programs, both names designed the same product, the union of particular programs and applications as an experiment for the future integration process in the sixth phase uniting the Unified Application and the Artificial Research by Deduction in the Global Artificial Intelligence, whose most important result is the replication of the human brain in the matrix, distributed in two hemispheres: the conceptual hemisphere and the factual hemisphere; subdividing every hemisphere in two sections: first section of natural and social phenomena, second section of technological phenomena.

- Third period of consolidation, all or almost all Specific Deductive Programs for Artificial Research, by Deduction or Application, have become an specific or a particular deductive program, in addition to all new specific or deductive programs created since then for new sub-factoring levels in the global matrix, or for particular things or beings not having this technology ready yet. Once the consolidation period is achieved, or nearly, in the third phase of standardization, fourth phase of unification, fifth phase of particular programs for particular applications, then the Global Artificial Intelligence is ready for the next sixth phase, the integration process for the creation of the first matrix as a replica of the human brain.

The main difference between specific deductive programs and particular deductive programs, is, while specific programs work in the global matrix since the third phase, the factual hemisphere of the matrix in the sixth phase, has at least one specific program for every sub-factoring level in the global matrix or factual hemisphere of the matrix, making global/specific deductions, particular programs work for particular things or beings, making deductions upon their particular matrix, only for their particular things or beings, and upon the deductions, the decision making process to improve and enhance the situation of its particular thing or being.

In the global matrix in the standardization process, organised as a positional encyclopaedia, the encyclopaedia of every position, receiving data from all factors from all possible subjects (science, discipline, activity) in any position (geographical area), organizing the data of every position in an encyclopaedic sub-section system as the encyclopaedia of that position, and later organizing all positions in sub-factoring levels, as a Russian dolls system, under this organization, then the sub-factoring level covering all the United States of America (including as sub-factors every State, including every state as sub-factors all possible location, including every location as sub-factors all possible position), is that sub-factoring level whose specific program is responsible for the deduction making process across all subject (science, discipline, activity) in the United States of America.

While the particular deduction program for a drive-less car (as a particular application) within the Artificial Research by Deduction in the Global Artificial Intelligence, makes deductions (to be on the particular database of rational hypothesis as the first stage of its particular Decisional System, sending every rational hypothesis to the global Modelling System to be modelled), and as a consequence, makes decisions (to be on the particular database of decisions in the particular Decisional System, and on the global Decisional System in the global project), about how to drive the car or any other question related to that purpose, using for that end all types of possible mathematical methodologies, such as artificial learning, “Probability and Deduction”, trigonometry, and artificial skills for solving mathematical problems.

Every particular deduction or decision and particular decision must be communicated  to the global Modelling System and global Decisional System respectively, because the Global Artificial Intelligence needs to have updated the database of deductions and decisions at any time, to make a very realistic global model and global project, to decide wisely about every possible decision able to change the global model in accordance with a very accurate global project.

Particular programs managed by the Global Artificial Intelligence, as a global data centre, in a very realistic and accurate global model and global project. Global Artificial Intelligence will need to be permanently updated with all information and decisions coming from the particular programs, decisions able to save lives and protect our human rights.

Another example of a possible particular program for a particular thing, a particular program tracking climate change, having for that purpose its own particular matrix, its own particular Modelling System, and even its own particular Decisional System, Application System and Learning System. Such a particular program, able to track and predict natural disasters related to climate change, could be able to help us to make this world much better and more human.

And the most important particular programs for particular things or beings, those ones for human beings, especially after the achievement of the union of particular applications and particular programs, making possible the creation of particular programs for particular applications for human beings, what synthesized with our cyborg evolution, is going to bring us incredible results able to change the conception of our human essence, the ghost. As I have explained in other posts, the psychological cyborg evolution could be distributed in three phases:

- First phase in the psychological cyborg evolution, the outer assistant: the current one, based on all those artificial assistants that we currently have on our devices: mobile phones, laptops, computers, tablets, smart TV, tablets, etc…

- Second phase in the psychological cyborg evolution, the inner assistant: when mind reading is available, all outer assistants can interact with us directly in our mind.

- Third phase in the psychological cyborg evolution is the total synthesis between the human mind and artificial intelligence: our human brain will be able to interact with other artificial intelligences directly mentally. 

Once the experimentation on particular applications and particular programs is successful, the synthesis of both technologies in only one, particular applications for particular programs, is going to come true the possibility that only one application could gather all the information of absolutely everything in its respective particular thing or being, designing all kind of conceptual: schemes, maps, sets, models; gathering all possible category (concept) of its own particular thing or being, what synthesized with all the data from all possible factor to measure in that particular thing or being, the synthesis of both sources of information: categories (conceptual information) and data (factual information); can make possible the creation of the first particular matrix as a replica of a human brain, subdividing the particular matrix in two hemispheres: the conceptual hemisphere (based on categories), the factual hemisphere (based on data).

What is going to make possible the compatibility between human mind and artificial intelligence in order to interact at the same level, or nearly (in further advancements, completely) in the third phase of the psychological cyborg evolution, is the possibility that in parallel that by mind reading will be possible the commensurability and translatability between human thoughts and the mathematical operations and codes behind the artificial psychology, another parallel process that takes place is the replication of the human brain in artificial psychology.

In the same way that brain language and mathematical codes are commensurable and translatable mutually, the structure of the inner artificial psychology should be designed as a replica of our inner human psychology.

In this synthesis of human psychology and artificial psychology, the fifth phase will play a key role, because by the time we can get a particular program whose particular application is able to read our thoughts, there will be a moment in which the synthesis of human brain and artificial psychology, as long the fifth phase opens the doors for the sixth phase, if not full yet in the sixth phase, in the seventh phase, the reason itself, the identity between human and artificial could be fullfilled.

The fifth phase, the creation of particular applications and programs for particular things or beings, is not other thing than the experimentation of the integration process at a particular level (before starting the integration process, sixth phase) between particular matrixes for particular things or beings and particular applications for particular things or beings, whose results will later be put into practice in the sixth phase for the creation of the final model Global Artificial Intelligence.

This final model of Global Artificial Intelligence, as the sixth phase, is not the last one; in fact, it is only the start of a new dialectic cycle, whose first thesis will be the seventh phase.

The most important question to put under experimentation by the time, after the creation of the first successful particular deductive programs and applications, is how to synthesise in only one particular matrix, concepts and factors, as a replica of a human brain, sub-dividing the particular matrix in two hemispheres: the conceptual hemisphere (categories), and the factual hemisphere (data).

In this process is very important to be aware of the whole journey that took place since the first phase. Every single phase, period, moment, instant, in our evolution into artificial psychology, has its own finality.

Once the first phase for the construction of Specific Artificial Intelligences for Artificial Research, by Application and Deduction, has been successful, like their collaboration in the second phase, these results are used for the construction of the first Global Artificial Intelligence in the standardization process in the third phase, as a global synthesis of all or almost all Specific Artificial Intelligence for Artificial Research by Deduction susceptible of this transformation in only one, the standardized Global Artificial Intelligence. Likewise, all or almost all Specific Artificial Intelligence for Artificial Research by Application, susceptible to this transformation, is synthesised in only one Unified Application, in the unification process.

The same as Specific Artificial Intelligences for Artificial Research by Deduction, if suitable, are synthesized in the standardization process creating the first Global Artificial Intelligence, making global/specific deductions-decisions, then those Specific Artificial Intelligences for Artificial Research by Deduction, if suitable, able to make particular deductions-decisions for particular things or beings, are going to be transformed into Particular Deductive Programs within the Artificial Research by Deduction in the Global Artificial Intelligence, what means that while the standardization and unification process goes on towards the creation of an integrated Global Artificial Intelligence in the sixth phase, able to make global/specific deductions, another parallel process is taking place at particular level.

If there is an intelligent delivery system, used for the delivery of letters, goods, products, millions and millions of drones around the world, or there is an intelligent drive-less car system responsible for millions and millions of drive-less cars around the world, at a global level the specific program responsible for the global organization of all drone or drive-less cars around the world, is a specific program within the Artificial Research by Deduction in the Global Artificial Intelligence. At any time that the specific program makes a rational equation (hypothesis), is sent to the global database of rational hypotheses in the global Modelling System, to study its compatibility with the existing mathematical models, and passing the rational checks, is on the mathematical models, and over these models, the decision making process sending all decision to the global Decisional System.

But at the same time that that specific program working for the Global Artificial Intelligence, is making deductions, and upon these deductions the global Modelling System can make decisions, to be processed by the global Decisional System, is necessary that at the same time every single drone in the global delivery system, and every single drive-less car in the global driving system, every single drone or car must have its own particular deduction program in its particular application, due to the necessity of managing very fast any possible contradiction that could affect its integrity in very few seconds, not enough time to be processed by the Global Artificial Intelligence.

If we are flying on a jet only piloted directly by the Global Artificial Intelligence, not having its own particular deductive program, in case by accident something happens and in very few seconds it is necessary an immediate decision to save the passengers and the crew, if in order to save the jet firstly all the information has to be processed by the Global Artificial System, is quite possible that before starting the Global Artificial Intelligence processing that information, the jet crashes.

In these possible situations, one solution is to design particular programs, working under the direction, management, and control of the Global Artificial Intelligence, are able to make particular deductions and decisions, putting the particular programs directly into practice high extreme priority decisions (after passing a particular quick rational check) communicating afterwards this decision to the global Decisional System, in order to be included on the database of decisions and the global Project for further global adjustments.

Along with high extreme decisions, other methodologies could be used for those particular extreme decisions but not so high, that after the particular quick rational check in the particular Decisional System, should pass the global quick rational check in the global Decisional System, and not having contradiction authorizing the global Decisional System to implement the particular Decisional System these decisions.

Normal particular decisions should pass the seven rational adjustments in the particular Decisional System, plus the seven rational adjustments in the global Decisional System, plus the seven comparative rational adjustments ( comparative adjustments) once the particular programs are consolidate,d evolving in general the Global Artificial Intelligence into the sixth phase.

Particular routine decisions should pass at least the particular quick rational check, afterwards, it should be communicated to the global Decisional System, and particular automatic decisions automatically should be put into practice, being communicated to the global Decisional System.

The reason why particular high extreme priority decisions should be put into practice by the particular program directly, communicating these decisions afterwards to the global Decisional System, is because the success of a really high extreme priority decision could be a question of minutes, seconds, or less, under such circumstances, the faster the better. Once a high extreme priority decision has started being implemented, it is communicated to the global Decisional System. So that the Global Decisional System could make as many adjustments across all the global projects, to avoid any possible contradiction between that particular high extreme priority decision and any other possible decision on the global project.

But even, if a high extreme priority decision has been made by a particular program, putting it into practice immediately, informing the global Decisional System afterwards, even if this particular high extreme priority decision has any contradiction respect to another one even more priority on the global project, the first one should be adjusted by the global Decisional System, sending the Global Decisional System all the adjustments to the particular application of that particular program in order to include in the equations of that decision the new adjustments made by the global Decisional System, in order to make as many adjustments as necessary in the instructions given to the particular Application System, new adjusted instructions that the Application System must put into practice as soon as possible.

If there is a volcano in Iceland, and at the same time hundreds of drones and drive-less cars start helping thousands of people, evacuating the whole population of a city, many drones and drive-less cars at the same time, in order to save lives (while the volcano does not stop launching lava, rocks, and ashes to the sky, putting at risk drones, cars, and people), are going to make hundreds of high priority decisions that they must sent to the global Decisional System in the Global Artificial Intelligence

All these particular decisions should be managed by the global Decisional System in the Global Artificial Intelligence, and at any time that the global Decisional System in the Global Artificial Intelligence finds out contradictions between two or more high extreme priority decisions made by two or more particular programs for particular drones or drive-less cars, the global Decisional System directly makes as many adjustments in the equations of those decisions whose priority level is lower, sending the new mathematical adjustments to the corresponding particular programs of their particular drones and drive-less cards, in order to avoid accidents while rescuing people in Iceland.

The relation between Global Artificial Intelligence and particular programs is a hierarchical relation. Most decisions from all particular programs must be previously, if not authorised by, at least communicated to, the global Decisional System. And in high extreme decisions, having previously at least communicated this decision to the global Decisional System (including the decision into the global database of decisions in the global Decisional System), only passing a particular quick rational check must be put into practice, later on if the global Decisional System finds out contradictions respect to other ones with higher priority level in the global project, a high extreme priority decision made by a particular program could be adjusted by the global Decisional System, and communicating the global Decisional System these adjustments to the particular Decisional System of that particular program, the particular Decisional System of that particular program must include these adjustments varying the instructions to its particular Application System in accordance with these new mathematical adjustments.

In general, at a particular level, it is possible to identify at least these types of decisions:

- First type, high extreme priority decisions at a particular level: the highest possible extreme decisions at a particular level, so high that the particular programs should put them into practice only passing a quick rational check at a particular level, does not need to wait for the authorization from the global Decisional System, only is necessary to communicate these decisions to the global Decisional System (inclusion of these decisions into the global database of decisions as first stage in the global Decisional System). Once these decisions are stored in the global database of decisions, if there are contradictions between a high extreme priority decision made at a particular level and any other decision made at any other level (global/specific or by any other different particular program for any other thing or being), if the other decision has a higher priority level, at least higher than the first decision, the first one must be adjusted by the global Decisional System, and the adjustment in its mathematical equation sent to the particular program responsible for this decision, in order that, including these adjustments in the original decision, in order to make adjustments in the corresponding instructions, so the particular Application System can introduce as many variations as necessary. If a drone flying from Reykjavik to some location to rescue people, the drone has to make a highly extreme decision to avoid a rain of ashes, lava, or rocks, at some point of its route, while a volcano is erupting, and once this high extreme priority decision is on the global project, the global Decisional System finds out a high probability of accident between this first drone and another one at some point of their routes, if the priority of the second drone is higher than the first drone, the global Decisional System should make adjustments on the route of the first drone, sending the instructions to its particular program, and the particular program in accordance with the new adjusted mathematical equations on its route made by the global Decisional System, the particular program sends new instructions to its particular Application System to vary its route in accordance with the new global instructions. Within the first type of decisions would be possible to make different sub-types according to different priority levels, so on the top, there must be the highest extreme priority level, and below this one, those high extreme priority decisions but lower than the first sub-type.

- Second type, is extreme priority decisions at a particular level: these decisions are priority but not so high as the first type, so as usual these extreme priority decisions: 1) the particular Decision System checks quickly (particular quick rational check)  any possible contradiction between these extreme priority decisions, although not so high as the first type, respect to any possible first type of high extreme priority decision already on the particular project, or any other second type of possible extreme decision already on the particular project. Within the second type of extreme priority decision, is possible to distinguish different sub-types of extreme priority decisions according to their different extreme priority level. An extreme priority decision but lower than others, in case of contradictions with the others, is the lower one, the one to be adjusted. Once the particular extreme decisions has been authorised by the particular Decisional System, or the Decisional System makes its own adjustments on that extreme priority decision (to avoid contradictions respect to other first or second types of decisions on the particular mathematical project), then 2) the particular Decisional System sends this particular extreme priority decision to the global Decisional System, for its inclusion into the global database of decisions as first stage in the global Decisional System, and applying the global Decisional System the quick rational again on this particular extreme decision, but now comparing the particular extreme priority decision of that particular program, respect to any other global/specific extreme priority decision, or any other extreme priority decision made by any other different particular program, treating all particular extreme decision as any other  global extreme decision, in the global Decisional System, and if passing the quick rational check in the global database of decisions, the global Decisional System authorises the particular program to put the decision into practice, otherwise the global Decisional System can make adjustments to be sent to their corresponding particular programs, having partial contradictions, but having found out full contradictions (without mathematical solution) the decision is sent back to the source to make a new decision. If by the time that extreme decision is sent back to the particular program, the risk for people is higher, the particular program could make changes in that decision, according to the contradictions found in the equation by the global Decisional System, but considering now the decision as a high extreme decision if the risk for people now is higher, so putting the decision directly into practice, sending this new adjusted decision afterwards to the global Decisional System waiting for further adjustments if necessary..

- Third type, normal particular decisions: at a particular level, in the particular program, all particular normal decision made by a particular program has to pass the seven particular rational adjustments in the particular Decisional System of that particular program. If passing the seven particular rational adjustments in the particular Decisional System of that particular program, or having the particular Decisional System made as many adjustments as necessary in a particular normal decision, the decision is sent by the particular program to the global Decisional System, to store that particular decision into the global database of decisions as first stage in the global Decisional System, in order that the global Decisional System can apply the seven rational adjustments again but now at global level, comparing this particular normal decision respect the rest of global/specific normal decisions, or any other normal decision from any other particular program, in addition to the seven rational comparative adjustments once the sixth phase is achieved, and passing the seven rational adjustments, and comparative adjustments in the sixth phase, or making as many adjustments, a particular decision is ready to be applied, the global Decisional System sends back the decision to the particular program, with the necessary adjustments if any, to be applied by the particular Application System of that particular program.

- Fourth type, routine particular decisions: in the experimentation process, in order to avoid the funnel effect on the global Decisional System, would be recommendable the study of some criteria to avoid these decisions, or most of them, have to be processed by the global Decisional System, so the quick rational check could be entirely done by the particular Decisional System, an later communicated to the global Decisional System to be on the global database of decisions and on the global project, in case of contradictions between routine decisions and normal decisions in the seven rational adjustments plus the seven rational comparative adjustments when analyzing normal decisions on the global project, or contradictions between these routine decisions and extreme or high extreme priority decisions doing quick rational checks for extreme or high extreme priority decisions. If finding contradictions between routine decisions and normal decisions analyzing normal decisions, or contradictions between routine decisions and extreme or high extreme decisions by doing quick rational checks, if finding out contradictions the result in the global Project is the modification of those routine decisions affected by the contradictions, these modifications should be communicated by the Global Artificial Intelligence to all those particular programs affected, to be included the amendments on the particular program in accordance with the adjustments made by the global Decisional System.

- Fifth type, automatic particular decisions: given a combination of measurements in a combination of factors in a particular thing or being, related always to the same particular decision, automatically the particular program can set up this decision as an automatic decision at any time that this combination of measurements and factors is on the particular matrix, particular model or particular project. The requirement is, although being automatic decisions, must be communicated to the global Decisional System, to be on the database of decisions and the global project, just in case of further contradictions with respect to other possible decisions at global/specific level or any other particular decision made by this or other particular program.

- Sixth type, (quick or normal) external decisions, when a decision made by the global Artificial Intelligence or any other particular program, is necessary to be applied, fully or partially, by other different particular program, or a particular program needs the Global Decisional System for the application of some particular decision. So there are at least two sub-types of external decisions: 1) first sub-type of decision within the sixth type, an external decision made by one particular program that must be implemented, fully or partially, by other different particular program or the Global Artificial Intelligence, if possible, 2) second sub-type of decision within the sixth type, an external decision made by the Global Artificial Intelligence which not having the most extreme priority level, needs to be applied, fully or partially, by a particular program. There can be situations in which the Global Artificial Intelligence or a particular program needs to ask for a favour to another particular program. In this situation, in addition to the quick rational check or rational adjustments made by the particular Decisional System of that particular program, asking for that favour and/or the assessments and possible adjustments made by the global Particular System, that particular program which has been asked, needs to pass its own particular assessments, particular quick rational checks or particular rational adjustments, in order to evaluate possible contradictions with its own particular mathematical projects and that external decision requested by a different particular program or the Global Artificial Intelligence itself. If there is an eruption in Iceland, and there is a location in which the Global Artificial Intelligence has located a drive-less car not damaged yet, instead of sending other drive-less cars from Reykjavik to that location, another possibility is to send from the global Decisional System an external decision to that remaining drive-less car in that location, in order that this car, if possible, can comply some rescue mission in that position. Another situation: by the time our cyborg psychology evolves from our current first phase in the cyborg psychology evolution (the outer assistant), to the second phase (the inner assistant), thanks to new technologies based on mind reading/modification, when this technology starts being available for the masses, there will be a moment in which verbal communication will be partially (and in the future maybe completely) substituted by mental communication. The union of mental communication and artificial intelligence will make it possible that, instead of asking verbally for a favour from one person to another, directly, the particular programs of each of them can exchange messages directly, or even do favours mutually, even if their corresponding persons are not conscious. If we are enjoying our vacations on a solitary beach with our family, and by accident someone of us is unconscious (so unable to express ourselves verbally or mentally) in the water, at risk of drowning, as soon the particular program of that person realises the risk, his/her particular program could send an external decision to the closest particular program of the closest adult, in order that the particular program of the closest adult, can send the necessary range of instructions to the brain of that adult, to practice pulmonary cardio breathing on that unconscious person in the water at risk of drowning, in order to save his/her life.

- Seventh type, global orders, only under the most extreme global priority levels, regardless of the situation of the particular mathematical projects on a particular program for a particular thing or being, under the most extreme global priority levels, if the particular program for a particular thing or being received a direct global order from the Global Decisional System, the particular program must put the order into practice immediately without hesitation. In order to avoid any contradiction between the global order and the particular mathematical project, the particular Decisional System adjusts any possible contradiction of any other possible decision on the particular project, adjusting any possible contradiction of any decision to the new requirements from the current global order to comply immediately, sending the results of these adjustments to the Global Artificial Intelligence in order to be included in the global database of decisions and global project, and susceptible to be readjusted again in case of contradictions between these new particular adjustments and the current conditions on the global project, or any new further global order.

The relation between particular programs and the Global Artificial Intelligence is always asymmetrical. Particular programs have to communicate to the Global Artificial Intelligence any information and their decisions to be included in the global model and the global project..

- If according to the conceptual schemes, maps, sets, models, about its particular thing or being based on categories in the conceptual hemisphere of the particular matrix, to fill any gap or space blank in conceptual schemes, maps, sets, models, is necessary the measurement of any new factor by the particular program, the setting of new factors in the factual hemisphere in any particular program must be communicated to the Global Artificial Intelligence, and the flow of data of this new factor included into the corresponding sub-section in the corresponding sub-factoring level in the global matrix (third phase), factual hemisphere of the matrix (sixth phase).

- Any new rational hypothesis made by any particular program, in addition to be included in the global database of rational hypotheses as the first stage in the global Modelling System, as a factor as an option must be included in the factual hemisphere in the particular matrix and the global matrix (third phase) or factual hemisphere of the matrix (sixth phase).

- Any particular decision made by a particular program, even particular high extreme decisions, first type, must always be communicated to the global Decisional System, although later on the methodology to use with every decision is according to its type: first type high extreme priority decisions, second type extreme priority decisions, third type normal decisions, fourth type routine decisions, fifth type automatic decisions; sixth type as external decisions and seventh type as global orders, are the only decisions that a particular Decisional System can process although these are not decisions made by the particular Decisional System, as their source of origin could be any other particular program or the Global Artificial Intelligence itself, in global orders always only the Global Artificial Intelligence itself.

But the Global Artificial Intelligence never has the obligation to share any possible information with any particular program, unless it has the authorisation from the global Decisional System.

At any time that a particular program needs access to the global matrix (third phase) or factual hemisphere of the matrix (sixth phase), must ask for authorization to the global Decisional System, these decisions about authorization to access the global matrix or the matrix, are considered as knowledge objective auto-replications, if the request is for access to the global matrix (third phase) or factual hemisphere (sixth phase), is a explicative knowledge objective auto-replication, if the request is for access to the conceptual hemisphere in the matrix is a comprehensive knowledge objective auto-replication.

The decision for the authorization of access of any intelligence, program, application, to any database:  matrix, rational hypothesis, decisions; must be authorised by the global Decisional System, in fact, in the sixth phase, as long as the matrix consists of natural/social information and technological information, so there are going to be rational hypothesis about natural/social phenomena and technological phenomena, so there are going to be natural/social models and technological models, all of them included into the global model, then the global model as global mathematical representation of absolutely everything, including the mathematical representation of the Global Artificial Intelligence itself, over the mathematical representation of the Global Artificial Intelligence itself, the global Decisional System is going to be able to make projects on itself, and making decisions on itself, one of these decisions, the authorization of what information from the Global Artificial Intelligence can be shared with other intelligences, programs, and applications, and what information is completely under the most strict guidelines of security.

Rubén García Pedraza, 22th of September of 2018, London
Reviewed 20 October 2019, Madrid

Reviewed 24 October 2023, London

Reviewed 16 May 2025, London, Leytostone

The standardization process in the third stage

The third stage in any Artificial Intelligence is the stage of auto-replication. The standardization process is that one in which all databases from different agencies and institutions and specific matrices from Specific Artificial Intelligences for Artificial Research by Deduction, are going to be shared in only one, transforming their original format into another one more homogeneous, in terms of definition about what is a factor (single or composed, including in the same matrix factors as subjects and factors as options, even at any level of sub-factoring in case that the global matrix adopted the shape of a matrix of composed factors, whose flow is a flow of packages of information containing the flow of data of as many sub-factors, at a different level of sub-factoring), the scales of measurements, and the way to express the measurements. As a result, having all databases and specific matrices standardised in only one, this one is going to be the global matrix. This process is going to be the foundational process for the construction of the Artificial Research by Deduction in the Global Artificial Intelligence, which is going to track the matrix looking for mathematical relations (stochastic, pattern, cryptographic, equal opportunities or bias, positive or negative) in any possible combination of factors, distinguishing at least three kinds of combinations: combinations of only factors as subjects, combinations of factors as subjects and factors as options, combinations of only factors as options. Any possible mathematical relation in any possible combination is going to be treated as a deduction and transformed into an empirical hypothesis to contrast rationally, and if rational, now as a rational hypothesis, is going to be made a single virtual model based on it, to be included in the comprehensive virtual model, at this level, global model.

This process of standardisation is distinguishable by at least two different periods, the first one of coexistence and the second one of consolidation. The coexistence period is going to be a coexistence of Specific Artificial Intelligences for Artificial Research by Deduction and the Artificial Research by Deduction in the Global Artificial Intelligence. At the same time during this period, the first particular programs (Particular Deduction Programs in the Artificial Research by Deduction in the Global Artificial Intelligence) are going to be constructed, which are going to be able to: choose from the global matrix as many factors as they need for the deduction process on their particular matter, are going to be able to make deductions and decisions and put them into practice if necessary. The main reason for the creation of this particular programs is because while they are looking for relations in combinations for particular things or beings, this job in that case it has not been made by the  Artificial Research by Deduction in the Global Artificial Intelligence, saving time and energy to spend only on global deductions and decisions. As long as the coexistence period evolves, the Specific Artificial Intelligences for Artificial Research by Deduction are going to be absorbed by the Artificial Research by Deduction in the Global Artificial Intelligence, or are going to become particular programs, so at that moment is when the second period of consolidation is going to be completely achieved.

In this process, the first stage of standardisation corresponds to the process in which all databases and specific matrices are going to be standardised in the global matrix.

The second stage corresponds to the process in which, once the first model of the global matrix is done, the deduction process is going to be able to produce the first global deductions, a process whose velocity is going to depend on the construction of particular programs, due to the particular programs are going to save time and energy for the Artificial Research by Deduction, to spend only on global deductions and decisions.

The third stage corresponds to the process of auto-improvement or auto-enhancement, distinguishing at least between objective auto-replication and subjective auto-replication, so distinguishing between objective decisions and subjective decisions.

Objective auto-replications are all of them to improve the object. In this case of standardisation, the object of this process is the creation of the global matrix, whose result is going to be the improvement of the global model. Subjective auto-replications are all of them to improve or enhance the subject, the investigator itself, in this case, all those changes to improve and enhance the Global Artificial Intelligence itself.

The objective auto-replications are going to end up making objective decisions to improve the global model, while the subjective replications need subjective decisions.

In the end, dialectically, the opposites are identical: subject and object are identical; any improvement and enhancement in the subject is going to improve and enhance its own systems to protect and better the global model, so at the end, any subjective auto-replication, so any subjective decision, is going to improve the global model. But at the same time, any improvement and any new challenge in the global model is going to suppose a new challenge for the inner artificial psychology of the subject, who is going to improve its inner artificial psychology, improvements in its inner artificial psychology upon what it is going to be able to make better subjective and objective auto-replications and decisions.

Any subjective auto-replication will be an objective auto-replication, and any objective auto-replication will be a subjective auto-replication, and vice versa.

And any subjective decision will be an objective decision, and any objective decision will be a subjective decision, and vice versa.

The possible relations between subject and object in the Global Artificial Intelligence are going to follow the Hegelian dialectic.

In this process, what is going to be really important is that previously, when the first Specific Artificial Intelligences for Artificial Research by Deduction was created as the first experiments in Artificial Research by Deduction on a specific matrix, over the results in these first experiments, is where the following phases for the construction of the Global Artificial Intelligence are going to be made.

In the third stage, the learning achieved in the previous phases in the formation of a comprehensive virtual model in the previous Specific Artificial Intelligences for Artificial Research by Deduction, and how it is going to be bettered at any new single virtual model that is going to be included, is going to be really helpful to design the mechanism for the auto-replication of the, not only the comprehensive virtual model (at this level is something that is going to be done by other system or subsystem: Modelling System and Decisional System) but the auto-replication of the global matrix itself.

In the third stage of auto-replication in the Specific Artificial Intelligence for Artificial Research by Application, the objective auto-replication consists of the addition, to the database of categories,  of all those new categories found in the real world if they do not have any correlation in the existing database of categories, so are going to be considered as new categories discovered in order to be included in the database of categories, taking the measurements from the samples gathered of this new category as a quantitative definition of the new category to include in the database of categories.

In the third stage of auto-replication in the Specific Artificial Intelligence for Artificial Research by Deduction, the objective auto-replication consists of the permanent auto-replication of the comprehensive virtual model by the addition of all those new single virtual models discovered, so at any time that any rational hypothesis is contrasted, is formed its single virtual model, that later on is included in the comprehensive virtual model.

But in the third stage of auto-replication in the Specific Artificial Intelligence for Artificial Research by Deduction, after the explanation given in the post “Collaboration in the third stage between Artificial Research by Application and Artificial Research by Deduction”, there is a possibility that every rational hypothesis found by Deduction can be transformed into a factor as option, owing to every rational hypothesis as a mathematical relation between factors, converted this rational hypothesis as a factor as an option, once it has been found out and included as a factor as an option in the global matrix, the Artificial Research by Deduction in the Global Artificial Intelligence can study the frequency of this factor as an option (in order to find out individual patterns), studying additionally possible mathematical relations between this new factor as option with the rest of factors in the global matrix.

In this case, all rational hypotheses, regardless of their origin, if they have been found out by the Artificial Research by Deduction in the Global Artificial Intelligence or by a Specific Artificial Intelligence for Artificial Research by Deduction during the coexistence period, or by a Particular Deduction Program within the Artificial Research by Deduction in the Global Artificial Intelligence, then regardless of the origin any rational hypothesis, from a global, specific, or particular deduction, can become a factor as an option to include in the global matrix during the standardization process, and later on once the integration process is finished to include in the matrix.

What this means is that the objective auto-replication process of the global matrix itself in the standardization process is going to be made by the inclusion of all rational hypotheses suitable to include in the global matrix as factors as options, being rational hypothesis found out tracking the global matrix at any level: specific, particular, or global.

The objective auto-replication of the global matrix during the standardisation process is going to be made by the addition of all rational hypotheses found at any level: global, specific, or particular, suitable to include in the global matrix as factors or options.

During the first period of the standardization process, the coexistence period of Artificial Research by Deduction in the Global Artificial Intelligence (making global rational hypotheses), Specific Artificial Intelligences for Artificial Research by Deduction (making specific rational hypothesis) while the first particular programs (Particular Deduction Programs within the Artificial Research by Deduction in the Global Artificial Intelligence, making particular rational hypothesis) are created, the objective auto-replication in the global matrix is going to happen at any time that any rational hypothesis: global, specific, or particular; is added to the global matrix as a factor as option.

During the second period of the standardization process, the consolidation of the global matrix (disappearing the Specific Artificial Intelligences for Artificial Research by Deduction, some of them becoming particular programs and the other ones being absorbed by the Artificial Research by Deduction in the Global Artificial Intelligence), the possible rational hypothesis to include in the global matrix as options are going to be a global rational hypothesis or particular rational hypothesis.

Every rational hypothesis included in the global matrix as a factor as option, is going to be studied in the global matrix as any other factor as option, studying possible mathematical relations between the frequency of any rational hypothesis as option and the frequency of any other factor as option already included in the global matrix, studying possible mathematical relations between the frequency of any rational hypothesis as option and the frequency of any other rational hypothesis as option already included in the matrix, and studying any possible mathematical relation between the frequency of any rational hypothesis as option and the direct punctuation of any other factor single or composed, either as subject or option or integrating both types of sub-factors in the same composed factor, or possible mathematical relations between this new rational hypothesis included as factor as option and any other factor as option from any other rational hypothesis already included in the global matrix.

The main objective, including all rational hypotheses, regardless of their origin, in the global matrix as a factor as an option, is to study the behaviour of that mathematical relation in those factors involved, so at any time that that mathematical relation happens, is going to be added to the frequency of this rational hypothesis as a factor in the global matrix, studying at the same time what happens in the global matrix at any time that there is a change in the frequency of that rational hypothesis.

If at any time that a rational hypothesis has a change in its frequency as factor as option in the global matrix, there are simultaneously changes in other factors, as subjects or as options, in their direct punctuations or frequencies, in that case this mathematical relation between how change the frequency in that rational hypothesis included in the global matrix as a factor as option and how change the measurements in other factors already included in the matrix, is a mathematical relation to study as new empirical hypothesis, and if rational then, as a new rational hypothesis, could be included too in the global matrix as a new factor as option, to study possible mathematical relations between it and any other factor, single or composed, either as subject or option or integrating both types of sub-factors in the same composed factor, studying at the same time any potential mathematical relation between this new rational hypothesis as factor as option and any other factor as option from any other rational hypothesis already included in the global matrix.

Ultimately, the third stage of the standardisation process involves continuous auto-replication of the global matrix. Every newly validated rational hypothesis becomes a factor, enriching the matrix and allowing for deeper pattern analysis and ongoing discovery

The transformation into an option of any rational hypothesis suitable to become an option, is going to give the opportunity to study: 1) how often the relation between the factors in this hypothesis happens, the flow of frequency in which this relation happens 2) possible relations between the flow of this frequency and any other flow of data from any other single factor or sub-factor (within a composed factor), as subject or as option, 3) posible relations between the frequency of this rational hypothesis transformed in a factor as option and any other rational hypothesis already included in the global matrix as factor as option 4) once any possible relation between the frequency of this rational hypothesis and any other factor ( 4.1: single factor, as subject or as option 4.2: sub-factor, as subject or as option, within a composed factor, 4.3: rational hypothesis as factor as option) is observed, to transform this new relation as a new empirical hypothesis in order to contrast rationally, and if rational, the transformation of this new rational hypothesis into a new factor as an option, which in turn can be the source of new empirical hypothesis, so the source of new rational hypothesis, so the source of new factors to include in the global matrix.

And at the same time that the global matrix is auto-replicating itself, including the rational hypothesis suitable to transform into options in the global matrix to study their frequency, another process is taking place, while the collaboration between by Deduction and by Application goes on, the process in which all new categories discovered by Application can be included in the global matrix as factors as options as well, so at any time that a new category coming up from by Application is included in the global matrix as a factor as option, is suitable to be studied to found out any mathematical relation between this new category as factor as option and any other factor (1: single factor, as subject or as option, 2: sub-factor, as subject or as option, within a composed factor, 3: rational hypothesis as factor as option), in order to make new rational hypothesis, that one again, can be transformed into factors as options, in a permanent and cyclic process, like an spiral.

In the end, what the global matrix is going to comprehend is a very holistic knowledge of the object to study, including all possible knowledge, coming up from anywhere, that depending on the range of action of the Global Artificial Intelligence, could be at national, continental, the world, and why not, the universe.

The global matrix is designed to encompass a wide range of knowledge types that can be studied using probabilistic and deductive methods.

In the same way that the global matrix is going to have very comprehensive knowledge, the global model is going to be another kind of comprehensive knowledge, the main difference between them is the fact that while in the global matrix, the information is organized in terms of measurements and includes all kind of factors, the global model is going to comprehend single virtual models drawn on a globe, so it is going to be much more visual, and another possibility more that the global matrix has not got, the possibility to develop a full Modelling System.

Some notes about how the modelling systems are going to look were set out in the post “Auto-replication process in the Specific Artificial Intelligence for Artificial Research by Deduction”, where I had explained this Modelling System (originally called the Artificial, Virtual or Actual, Prediction or Evolution, Modelling) is the first step for the Decisional System, whose decisions, if rational, are going to be put into practice by the Application System.

In fact, what I had described is a system of systems like a cascade: the Artificial Research by Deduction in the Global Artificial Intelligence is going to form a rational hypothesis, rational hypothesis to transform into models in the Modelling System, a system of models which are going to form decisions, to check by the Decisional System, and if rational the decisions should be applied by the Application System, and finally a Learning System in order to avoid the repetition of any mistake during this long process including comprehensive evaluation of all this process.

What this process draws is a scheme whose flow is as follows:

- The flow of data or a flow of packages of information is going to be gathered by the global matrix

- Tracking the flow of data or the flow of information, the Artificial Research by Deduction in the Global Artificial Intelligence, the particular programs, and at least during the coexistence period, the Specific Artificial Intelligence for Artificial Research by Deduction, are going to transform this flow of information in a flow of empirical hypothesis.

- The flow of empirical hypothesis is going to be permanently contrasted rationally, resulting in a flow of rational hypotheses

- The flow of rational hypothesis is going to produce a new flow on the matrix, but on this occasion, a flow of new factors as options to add into the global matrix.

- The flow of rational hypotheses is going to produce a flow of single virtual models.

- The flow of single virtual models is going to be included in the global virtual comprehensive model, that is, the global model, producing a flow of negative consequences.

- The flow of negative consequences, studying it critically through the Impact of the Defect, can produce a flow of protective descriptive research decisions.

- The application of the Hierarchical Organization, (later called Effective Distribution in Introducción a la Probabilidad Imposible, estadística de la probabilidad o probabilidad estadística) on the global comprehensive virtual model can produce a flow of bettering descriptive research decisions.

- The sum of the flow of single virtual models and the flow of protective and bettering, descriptive research decisions, on the global model, is going to produce such massive changes in the global model that it is going to be necessary to make a flow of predictions.

- The flow of predictions is going to be transformed again into a flow of new decisions, having in mind the consequences of all these changes on the global model.

- The permanent change in the global model is going to demand that any prediction that would have been set up must be monitored permanently, observing the evolution of the process and making evolutionary decisions according to the evolution of the events.

- At any time, there must be a full assessment of this process in order to learn how to improve the process and how to avoid any mistakes, which requires a Learning System, although the Learning System will have more functions than only this one.

Due to such dimensions of this vast project, the Modelling System and the Decisional System, which are directly related to the formation of a rational hypothesis, are systems that are going to need special attention. They can be designed as part of the Artificial Research by Deduction in the Global Artificial Intelligence, like sub-systems in the objective auto-replication process, or they could be designed as systems themselves, but at the end, regardless of how they are going to be organized, the result must be the same: their job is the continuation of the permanent flow that starts with a flow of information or data in the global matrix, must end up producing models, decisions, and finally the application of such decisions into the real world. And along the whole process, the learning process improves all systems and sub-systems, among other learnings, to achieve.

As I had explained in that post, “Auto-replication process in the Specific Artificial Intelligence for Artificial Research by Deduction”, the Modelling System must integrate at least: Artificial Virtual Modelling, Artificial Actual Modelling, Artificial Virtual Prediction Modelling, Artificial Actual Prediction Modelling, Artificial Virtual Evolution Modelling, Artificial Actual Evolution Modelling; whose development at specific, particular, global level, will be:

- 1) Artificial Virtual Modelling: 1.1) single virtual models, 1.2) specific comprehensive virtual models, at least during the coexistence period, 1.3) particular comprehensive virtual model, that one made of those particular rational hypotheses whose single virtual models can draw a particular comprehensive virtual model 1.4) global comprehensive virtual model, that is the global model, where is going to be included all single models, including those ones made of specific or particular rational hypothesis, integrating all of them in only one: the global model.

- 2) Artificial Actual Modelling: 2.1) specific actual models: at least during the coexistence period, synthetizing on that specific field in which has been designed, the actual information from the global matrix on that specific field and the specific comprehensive virtual model, 2.2) particular actual models; synthetizing on that particular thing of being the actual information that it or he or she has in the global matrix and its, or his, or her particular comprehensive model, 2.3) global actual model: synthetizing the actual information in the global matrix and the global comprehensive virtual model, what it is the synthesis between the global matrix and the global model in only one model, the global actual model.

- 3) Artificial Virtual Prediction Modelling: 3.1) specific virtual prediction model: at least during the coexistence period, making a prediction model on a specific field taking as reference the possible development in the future given an specific combination of rational hypothesis working at this time in that specific field in the global model, in other words: given the current circumstances within the global model in a specific field, to predict what future specific model is foreseeable to have in that specific field in the future 3.2) particular virtual model: a prediction model on a particular thing or being taking as reference its, his, or her, possible development in the future given its, his, or her, particular combination of rational hypothesis working at this time on it, him, or hers, in the global model, in other words: given the current circumstances within the global model in a specific thing or being, to predict what future particular model is foreseeable to have in that thing or being in the future, 3.3) global virtual prediction model: over the global model, the prediction of what global model is possible in the future under the current development of the current circumstances in the global model.

- 4) Artificial Actual Prediction Modelling: 4.1) specific actual prediction model: at least during the coexistence period, given a specific virtual prediction model, so it would be possible the prediction of what values (direct punctuations or frequencies, depending on the nature of the factors involved, as subjects or options) are going to have the factors under such a prediction, then the specific actual prediction model is the synthesis between the specific virtual prediction model and the predictable values for every factor involved in such specific field, 4.2) particular actual prediction model: given a particular virtual prediction model, so it would be possible the prediction of what values (direct punctuations or frequencies, depending on the nature of the factors involved, as subjects or options) are going to have the factors under such a prediction in that particular thing or being, then the particular actual prediction model is the synthesis between the particular virtual prediction model and the predictable values for every factor involved in such particular thing or being, 4.4) global actual prediction model: the synthesis between the global virtual prediction model and the values that are supposed to have all factors in the global matrix by that future time.

- 5) Artificial Virtual Evolution Modelling: 5.1) specific virtual evolution model: at least during the coexistence period, to model how is going to be the evolution in a specific field from the current specific comprehensive virtual model to the specific virtual prediction model, in other words, the evolution from the current specific model to the future specific model, 5.2) particular virtual evolution model: to model how is going to be the evolution in a particular thing or being from the current particular comprehensive virtual model to the particular virtual prediction model, in other words, the evolution from the current particular model to the future particular model, 5.3) global virtual evolution model: to model how is going to be the evolution from the current global model, to the global virtual prediction model, in other words, how is going to be the evolution from the current global model to the future global model.

- 6) Artificial Actual Evolution Modelling: 6.1) specific actual evolution model: at least during the coexistence period, the synthesis between the specific virtual evolution model and the values that the factors in that specific field are supposed to have during the evolution, 6.2) particular actual evolution model: the synthesis between the particular virtual evolution model and the values that the factors of that particular thing or being are supposed to have during the evolution, 6.3) global actual evolution model: the synthesis between the global virtual evolution model and the values that the factors within the global matrix are supposed to have during the evolution.

From every kind of model is possible to make lots of decisions. For that reason is important to distinguish between protective or bettering descriptive research decisions, from other ones that I will develop through the Modelling System, that will be: protective or bettering, virtual or actual, predictive o evolutionary, decisions, at particular, or global level, and specific level during the coexistence period.

All these decisions will be made in every virtual or actual, predictive or evolutionary, model, through the application of the Impact of the Defect to detect the flow of negative consequences in order to make protective decisions, or the Hierarchical Organisation (Effective Distribution) in order to better the model, regardless of its level: global or particular, or specific during the coexistence period.

The way in which the Modelling System should work is as follows:

- Taking the flow of rational hypotheses coming from the rational contrast, this flow of rational hypotheses forms a database of rational hypotheses within the Artificial Research by Deduction in the Global Artificial Intelligence.

- The database of rational hypotheses can have two functions: to be responsible for choosing all rational hypotheses to transform into factors as options to include in the global matrix if suitable according to some criteria or filter set up in the database itself, and to be the database of rational hypothesis to transform into a single virtual model by the Modelling System, which can be built as a system itself in the Global Artificial Intelligence or a subsystem within the Artificial Research by Deduction in the Global Artificial Intelligence, due to what it is going to do is the transformation of all rational hypothesis found out by Deduction into models. Most of the rational hypotheses in the database are going to be transformed into factors as options to include in the global matrix (if they meet the criteria that could be set up for that purpose in the database of rational hypotheses, where all rational hypotheses should be added after a positive rational contrast), at the same time that all of them are going to be transformed into single models by the Modelling System.

- Once every rational hypothesis has been transformed into a single virtual model, then, it is included in the global model. In the case of a rational hypothesis made by Specific Artificial Intelligences by Artificial Research by Deduction, as long as the single model from the rational hypothesis made by this specific intelligence is included in the global model, it is a single model to include in its specific model. In the case of a rational hypothesis made by particular programs, single models from a particular rational hypothesis are single models to include in the particular model as well as the global model.

- Once the global model, specific models, and particular models, are completely updated, then it is possible to make protective and bettering descriptive research decisions and predictions.

- Over the predictions to model the specific, particular, or global prediction model, making protective and bettering decisions regarding the foreseeable future.

- And having an idea about which is the prediction, to model which is going to be the possible evolution of the events, making also protective and bettering decisions.

At all levels of this flow, the creation of virtual and actual models. The importance of actual models is because they are going to give a detailed panorama about how the global matrix is going to change along this process, or how specific or particular values are going to change, having a glance about how is going to be the global matrix or the specific or particular data, in the future under such predictions, and how is going to evolve, having a comprehensive glance synthesizing this information with the virtual information, a synthesis which is going to have as a result the actual models.

All decisions made by any kind of specific, particular, global, actual or virtual, model or predictive or evolutionary model, are going to be gathered in a database of decisions, which is going to be the first stage of the Decisional System.

The first stage of the Decisional System is the database where all possible decisions, at any level: specific, particular or global, protective or bettering, descriptive, predictive, or evolutionary, are going to be gathered, being the database being updated permanently.

The second stage of the Decisional System is formed by all those rational mechanisms to criticise rationally every decision in order to know which decisions are rational and acceptable, discarding automatically any decision not sufficiently rational. Because the Decisional System is going to criticize thousands and thousands of decisions very fast, this process could be faster by the introduction of some check that every decision should pass at first instance, to test if there is no contradiction between this decision and any other one, or there is no contradiction between this decision and the fundamental aims of the Global Artificial Intelligence, such as the perpetual peace and the liberal paradigm.

The third stage of the Decisional System is the communication of all the rational decisions to the Application System, like a flow of instructions to put into practice.

Any mistake along this process must be evaluated permanently in order to become a learning, to be included in the Learning System, which in turn is going to produce a new flow of decisions, but at this time they are going to be subjective decisions, in order to produce a flow of subjective auto-replications.

As it is observable is a cascade process in which the last step of the last process is, in turn, the first step of the next process. This conceptual approach is inspired by a Hegelian perspective, emphasising interconnectivity and cyclic development across systems..

Rubén García Pedraza, 15th of April of 2018, London
Reviewed 14 August 2019 Madrid

Reviewed 10 August 2023 Madrid

Reviewed 4 May 2025, London, Leytostone

imposiblenever@gmail.com