Dado un conjunto N tendente a infinito es inevitable que absolutamente todo suceda, siempre que se disponga de tiempo suficiente o infinito , y he ahí donde está el verdadero problema irresoluble o quid de la cuestión de la existencia ¿quién nos garantiza que dispongamos del tiempo necesario para que ocurra lo que debe o deseamos que suceda?


domingo, 20 de mayo de 2018

The integration process at first stage


At first stage the integration process consists of the union of the unified database of categories, former application in the Unified Application (created in the unification process, fourth phase), and the global matrix, former application in the Artificial Research by Deduction in the Global Artificial Intelligence (created in the standardization process, the third phase), uniting both applications in only one application, the matrix, as first stage, application stage, for the final model of Global Artificial Intelligence.

The proposal of Impossible Probability for this union in only one application, the matrix, is through the replication of the human brain structure in the matrix through two hemispheres, one based on categories (concepts), other on factors.

In the same way that the human brain has two hemispheres, one focused on language (concepts), the other on mathematical relations, the matrix as first stage of application for the final model of the Global Artificial Intelligence in Impossible Probability, is organised as well in two hemispheres, one more focused on categories (concepts) in order to categorise (conceptualise) the world and itself, and the other hemisphere focused on factors about the world and itself in order to, in the second stage, look for mathematical relations in any combination of factors related to any aspect of the world or itself.

In Impossible Probability, the hemisphere in the matrix focused on categories is the conceptual hemisphere, and the hemisphere in the matrix focused on factors is the factual hemisphere, and both hemispheres represent different kinds of human knowledge.

In the conceptual hemisphere resides the artificial comprehension skills developed by the Unified Application, and in the factual hemisphere resides the artificial explanation skills developed by the Artificial Research by Deduction in the Global Artificial Intelligence.

The comprehension skills depend on the conceptual hemisphere, and the comprehension skills are developed by the Unified Application, and the comprehension skills play a key role within the first stage of application due to the Unified Application could manage the whole application thanks to its own capacity of conceptualization using the concepts (categories) in the conceptual hemisphere.

The comprehension skills developed by the Unified Application as a manager of the whole application as first stage in the final model of the Global Artificial Intelligence are the development of global conceptual: schemes, maps, sets, models; about absolutely everything in the reality, using for that purpose as concepts the categories gathered in the conceptual hemisphere, as well as conceptual: schemes, maps, sets, models; regarding to any technology, including any technology working on/within the Global Artificial Intelligence.

The explanation skills developed by the Artificial Research by Deduction in the Global Artificial Intelligence in the second stage, are all those skills for the tracking of the factual hemisphere searching for any mathematical relation in any combination of factors, in order to make deductions that if rational can be included in the database of rational hypothesis, the rational truth.

Thanks to the conceptual hemisphere the Unified Application can conceptualise, so can comprehend the world, and thanks to the factual hemisphere the Artificial Research by Deduction in the Global Artificial Intelligence can make mathematical deductions, so can explain the world.

Due to the similarities between artificial comprehension skills developed by Unified Application based on the conceptual hemisphere, and the artificial explanation skills based on the Artificial Research by Deduction in the Global Artificial Intelligence based on the factual hemisphere, both hemispheres conceptual and factual gathered in the same matrix, are a replication of the human brain structure.

The matrix as an application, first stage, in the final model of the Global Artificial Intelligence, as replica of the human brain, structured in two hemispheres, conceptual and factual, is going to have inside all possible knowledge around the world and itself, and in this sense the matrix is going to have a very deep encyclopaedic knowledge even beyond the traditional concept of encyclopaedia.

Traditionally for encyclopaedic knowledge is understood that global knowledge formed by all kind of definition in all science, discipline, activity, traditional encyclopaedic knowledge developed in the first stage of application by the Unified Application in the unification process (fourth phase).

But once the unification process has been overcome by the integration process (sixth phase), now the matrix in the sixth phase (integration process) not only houses a traditional encyclopaedic knowledge as global definitions of absolutely everything, going beyond this traditional encyclopaedic knowledge to a new one, including definitions as well as all possible flow of data from anywhere.

In the matrix now, the conceptual hemisphere, as a set of categories, concepts, about absolutely any real object in the real world or technology, works as a traditional encyclopaedia, containing all possible comprehensive knowledge about absolutely anything, defining every single category, concept, in quantitative terms in order to match any set of measurements with their respective category. But, due to the matrix now includes as well a factual hemisphere, the encyclopaedic knowledge is much more inclusive than ever, towards a new encyclopaedic knowledge including definitions (conceptual hemisphere) and data (factual hemisphere).

If the traditional encyclopaedism could be called as analytic, owing to the traditional concept of encyclopaedia is focused on analytical definitions and relations between concepts (having many connections between French encyclopaedism in the XVIII century and the neo-positivism in the XX century), the new model of encyclopaedism developed by the matrix as first stage of application in the Global Artificial Intelligence, is a new model of encyclopaedism that could be called synthetic encyclopaedism because in the same matrix, through both hemispheres, is included analytical definitions and synthetic data from the real world.

This means that, if in the unification process as second stage, the Unified Application could develop comprehension skills because the Unified Application made conceptual: schemes, maps, sets, models; about any reality, labelling any real object using the categories within the unified database of categories as concepts, being able to make conceptual: schemes, maps, sets, models.

Then, now, in the integration process, the same comprehension skills that previously the Unified Application used in the unified database of categories in the unification process, are the same comprehension skills that now in the integration process can put into practice in both hemispheres, not only using the categories in the conceptual hemisphere to construct conceptual: schemes, maps, sets, models; about real objects, but using these same comprehension skills, to apply this comprehension skills in order to make conceptual: schemes, maps, sets, models; about the organization and distribution of the conceptual hemisphere itself, and the organization and distribution of the factual hemisphere itself, creating conceptual: schemes, maps, sets, models; not only about the reality itself, but creating conceptual: schemes, maps, sets, models; about the organization itself of each hemisphere, and even more, creating conceptual: schemes, maps, sets, models; about the whole organization of the Global Artificial Intelligence itself, and about any Specific Artificial Intelligence, particular application, particular program, particular application for particular program, or any robotic devices, and these technological conceptual:  schemes, maps, sets, models; later are shared with the Application System and the Learning System, in order to put into practice any decision (previously authorised by the Decisional System), and make how many robotic or artificial psychological subjective auto-replications are necessaries, in the third stage, the decision or auto-replication stage.

For that reason, the matrix not only houses concepts about the real word in the conceptual hemisphere, or only data from the real world in the factual hemisphere, in addition to this information, the conceptual hemisphere in the matrix has to house all kinds of technological concepts, and the factual hemisphere in the matrix has to house all kinds of factors related to any possible flow of data coming from the inner machinery or the inner psychology in any possible technology, such as flow of energy in every single component, flow of data regarding every change of position in robotic devices and applications, flow of data regarding the physical conditions of any possible technology working for the Global Artificial Intelligence under some circumstances such as extreme temperatures, radiations, impacts, flow of data about operating levels, wastage, supplies, etc…

For that reason, as it was said in the previous post “The integration process”, the final structure of the matrix as application for the final model of Global Artificial Intelligence in the integration process is a structure that is going to replicate the human brain in the sense that is going to be structured in two hemispheres: conceptual (including all possible categories as concepts) and factual (in order to look for mathematic relations in the second stage); but at the same time every hemisphere is going to have at least two sections: first section about natural or social phenomena, second section about technological phenomena.

The final structure of the matrix should have at least the following structures:

- Conceptual hemisphere in the matrix: including all the possible categories from the former unified database of categories as well as any new category added since then by: the discovery of new categories, or the addition of new rational hypothesis as factors as categories too or as a system of discrete categories, or new categories related to new technologies. Categories that can be distributed in two sections: first section in the conceptual hemisphere related to categories about natural and social phenomena, second section in the conceptual hemisphere related to categories of any possible technology.

- Factual hemisphere in the matrix: including all possible factor from the former global matrix as well as any new factor included since then, such as new rational hypothesis as factors as options or new categories as factors as options, as well as any new factor from any new technology. Factors distributed at least in two sections: factors related to natural and social phenomena, and factors related to any technology.

Once the organization of the final application, the matrix, for the final model of Global Artificial Intelligence has been explained, I will develop how the application is managed by the Unified Application.

Although, the inner organization of the Unified Application in the integration process is going to be different from the inner organization in the unification process, because now in the integration process being the Unified Application one system itself, is a system able to read the world through different readers, having every reader different robotic devices associated, these different readers are the former Specific Artificial Intelligences for Artificial Research by Application which were absorbed by the Unified Application in the unification process, instead of becoming particular applications.

These specific readers within the Unified Application, former Specific Artificial Intelligences for Artificial Research by Application, once they have been positively absorbed and included in the Unified Application are going to be specific applications within the Unified Application, keeping their previous relations with their former robotic devices, but now not as independent intelligences, but as intelligences dependent of the Unified Application within the Global Artificial Intelligence.

Specific Artificial Intelligences for Artificial Research by Application able to be completely absorbed by the Unified Application as specific aplications during the fourth phase of unification, are those ones related to: global, international, transnational, national, economy, industry, security, surveillance, education, justice, health, etc… Examples of particular applications were given in the post “The first stage in particular applications for particular programs”.

There are at least two ways in which some Specific Artificial Intelligences for Artificial Research by Application could be absorbed by the Unified Application: negative (eliminative), and positive (inclusive).

- The negative way in which some Specific Artificial Intelligences for Artificial Research by Application can be absorbed by the Unified Application is through the complete elimination of these intelligences in order that all their job will be made by the Unified Application.

- The positive way in which some Specific Artificial Intelligences for Artificial Research by Application can be absorbed by the Unified Application is through the inclusion of these specific applications as specific applications working within the Unified Aplication, having as application the unified database of categories in the fifth phase, the matrix in the sixth phase, in order to go on with their work in their respective fields, but within the Unified Application, so every specific conceptual: scheme, map, set, model; made for them, working within the Unified Application, will be automatically added to the global conceptual: scheme, map, set, model.

The negative way to absorb Specific Artificial Intelligences for Artificial Research by Application in the Unified Application, through their elimination and passing their job to the Unified Application what is going to do is the accumulation of all the work previously made by all the eliminated Specific Artificial Intelligences for Artificial Research by Application, having as a consequence a work overload for the Unified Application, slowing down its work creating a one-dimensional Unified Application.

Instead, the positive way to absorb the Specific Artificial Intelligences for Artificial Research by Application in the Unified Application, through their inclusion, is going to create a multidimensional Unified Application, whose inner organization could be self-managed through the distribution of the work distinguishing what specific conceptual: schemes, maps, sets, models; correspond to every specific application, being then specific conceptual: schemes, maps, sets, models; made by specific applications within the Unified Application that are going to be immediately added to the global conceptual: schemes, maps, sets, models.

The inner organization of the Unified Application in the integration process then is going to be a multidimensional Unified Application able to read the reality having at its disposal as many readers as former Specific Artificial Intelligences for Artificial Research by Application have been absorbed by the Unified Application in the unification process, becoming specific applications within the Unified Application, in which the Unified Application can distribute the work, in order that every specific application within the Unified Application could be specialised in some specific topic to make conceptual: schemes, maps, sets, models; to include later in the global conceptual: schemes, maps, sets, models; whose last responsible is the Unified Application itself.

One of the most important advantages for the specific applications within the Unified Application respect to their previous organization as Specific Artificial Intelligences for Artificial Research by Application, is the fact that before the absorption they could only make conceptual: schemes, maps, sets, models; including only concepts previously added by themselves to their respective specific databases of categories, while now they have direct access without restriction, and not having necessity to ask for permission, to the unified database of categories in the fourth phase, and the whole matrix in the sixth phase increasing their possibility to make more isomorphic and objective conceptual: schemes, maps, sets, models.

Apart from the differences in the inner organization in the Unified Application now in the integration process compared to the unification process, the Unified Application having as main difference how the inner organization is growing, the rest of the structure in three stages does not change, as well as the general structure in the Global Artificial Intelligence does not change.

In general, every stage in the final model of the Global Artificial Intelligence in the integration process is managed by different systems, that can have inner changes, but as a whole they are going to co-work all together in the same way.

The first stage of application, the matrix, is managed by the Unified Application as a comprehension stage. The second stage of replication, the explanation stage, is managed by the Artificial Research by Deduction in the Global Artificial Intelligence. And the third stage of auto-replication, the decision stage, is managed through four different steps by different systems as follows: the Modelling System making models and decisions, the Decisional System filtering the decisions chosen only those ones to be applied through different instructions, the Application System putting into practice the instructions, the Learning System assessing the whole process identifying mistakes and making decisions to better the whole process.

The first stage of application, the matrix, as it has been said, is managed by the Unified Application, whose origin dates back to the fourth phase, the unification process, where the Unified Application was created through the three stages, and having been designed through these three stages as any other intelligence at the same time now the Unified Application is the responsible for the management of the first stage of application for the final model of Global Artificial Intelligence.

The way in which the matrix will be managed by the Unified Application is through its own three stages, being now the matrix as well the first stage for the Unified Application, the second stage of replication in the Unified Application is the replication of all those skills related to the artificial comprehension, and the auto-replication stage in the Unified Application all those improvements within the matrix, as application not only for the Global Artificial Intelligence but for the Unified Application too, and improvements in all conceptual: schemes, maps, sets, models.

The way in which the Unified Application manages the matrix as its own application is as follows:

- The Unified Application through its own robotic device tracks (reads) the real world, and at any time that a new real natural or social phenomena is found whose measurements do not match with any category in the first section of the conceptual hemisphere, the measurements are considered as a quantitative definition of a new category to be added in the first section of the conceptual hemisphere.

- The Unified Application will receive sets of measurements from: robotic devices working directly for the Unified Application, its own specific applications within the Unified Application which still have their own robotic devices, particular applications for particular programs, remaining particular applications, remaining Specific Artificial Intelligences for Artificial Research by Application, any other robotic device; to match with the current categories in the first or second section in the conceptual hemisphere, and at any time that any set of measurements do not match with any current category in the corresponding section, the measurements are included as a quantitative definition of a new category, to be included in the first or second section depending on the nature of the information, if it is information regarding to natural or social phenomena the category or categories will be included in the first section, if the information is technological will be included in the second section.

- Any new category included in the conceptual hemisphere, in the first or second section, is transformed into a factor as option to be included in the factual hemisphere, in order to measure its frequency, for instance, the frequency in which a new natural or social category now as factor as option happens in the real world, or the frequency in which a new technological category is observed in the real world.

- The Unified Application has to track at any time the global database of rational hypothesis, in order that at any time that a new rational hypothesis is added to the rational truth, the rational hypothesis must be added as factor as option in the corresponding section in the factual hemisphere in the matrix. If it is a rational hypothesis regarding to natural or social phenomena then the rational hypothesis should be added in the first section of the factual hemisphere, and if the hypothesis is regarding to technological phenomena should be added in the second section in the factual hemisphere. The reason for the addition of rational hypothesis as factors as options, regardless of the section, is to count the frequency in which the mathematical relation between the factors involved happens, allowing the possibility in the second stage to make deductions about the relation between factors as options from rational hypothesis in relation with other factors as subjects or as options, including in these factors as options all those factors as options already included from other rational hypothesis.

- At any time that, after tracking the database of rational hypothesis, the Unified Application transforms a rational hypothesis into a factor as option to be included in the factual hemisphere, in the first section if it is a natural or social rational hypothesis, or second section if it is a technological rational hypothesis, all rational hypothesis transformed into a factor as option in the factual hemisphere must also be transformed as category to be included in the conceptual hemisphere, including the new category in the first section of the conceptual hemisphere if it is  a natural or social category, or including the new category in second section in the conceptual hemisphere if it is a technological category.

- At any time that the Unified Application tracking the rational truth, the database of rational hypothesis, identifies that a new rational hypothesis has been added, whose mathematical relation between the factors involved is measured in a scale of measurement susceptible to be transformed in a system of discrete categories, the whole system of discrete categories should be included in the conceptual hemisphere in the matrix, in the corresponding first or second section depending on the nature of that discrete categories, in the first section in the conceptual hemisphere if it is a classification in discrete categories to measured natural or social phenomena, in the second section if its technological.

- The database of rational hypothesis is managed by the Modelling System, including all the rational hypothesis sent by: 1) the Artificial Research by Deduction in the Global Artificial Intelligence, 2) Particular Deduction Programs as second stage in particular applications for particular programs, 2) remaining particular programs from the second period of formation in the fifth phase, 3) remaining Specific Artificial Intelligences for Artificial Research by Deduction from the first phase. The Modelling System must keep updated the database of rational hypothesis, in order that on real time the Unified Application can track the rational truth searching for rational hypothesis to become: factors as options in the factual hemisphere and/or categories in the conceptual hemisphere.

- In addition to the permanent tracking of the rational truth by the Unified Application, other way to keep updated the factual hemisphere in the matrix is through the possibility that directly: any robotic device working directly for the Unified Application, or working for any specific application within the Unified Application, or any particular application for any particular program, any  remaining particular program, any remaining Specific Artificial Intelligence for Artificial Research by Application, or any robotic device, including robotic devices working for any remaining Artificial Intelligence for Artificial Research by Deduction; at any time could set up in the factual hemisphere factors, previously defined in quantitative terms sending a permanent flow of data, including technological factors such as; the flow of data regarding the exact locations of these devices at any time, their flow of energy, suppliers, wastage, physical conditions, maintenance needs, etc.

- At any time that the Unified Application includes new categories in the conceptual hemisphere and/or new factors in the factual hemisphere, must sent these new categories and/or factors to all those particular applications for particular programs in which these new categories and/or factors could be relevant, in order that all particular application for any particular program could have completely updated its particular integrated matrix, adding in the particular integrated application any new possible category in the conceptual hemisphere in the particular integrated matrix, and/or any new possible factor could be added in the factual hemisphere in the particular integrated matrix. As well as the Unified Application can communicate all new category to all remaining particular application or remaining Specific Artificial Intelligence for Artificial Research by Application, or all new factor to all remaining particular program or remaining Specific Artificial Intelligence for Artificial Research by Deduction.

Because the specific applications within the Unified Application have direct access without necessity to ask for permission to the matrix, at any time that there is a change in the matrix, the specific applications have automatic access to every single change in any section in any hemisphere in the matrix, in order to keep updated their specific jobs, sending the results to the global conceptual: schemes, maps, sets, models.

The second stage of the Unified Application as a manager of the matrix as application for the final model of the Global Artificial Intelligence in the integration process, is as follows:

The Unified Application replicates human skills to comprehend the world and any possible technology, make global conceptual: schemes, maps, sets, models.

- Regarding to the first section in the conceptual hemisphere (concepts from natural and social phenonmena), the Unified Application makes global conceptual: schemes, maps, sets, models; about the whole universe and every single thing included in the universe, included our human world, adding all possible specific or particular conceptual: schemes, maps, sets, models; sent by: specific applications within the Unified Application, the particular integrated application in particular applications for particular programs, remaining particular applications, remaining Specific Artificial Intelligences for Artificial Research by Application.

- Regarding to the second section in the conceptual hemisphere (concepts from technological phenomena), the Unified Application makes conceptual: schemes, maps, sets, models; about its own organization as Unified Application itself, as self-knowledge, about the entire organization of the Global Artificial Intelligence itself, about every single particular application for any particular program, any particular application, any particular program, any Specific Artificial Intelligence, by Application or by Deduction, or any robotic device.

- Regarding to the first section in the factual hemisphere (natural and social factors), the Unified Application makes global conceptual: schemes, maps, sets, models; about the global distribution of all factors across the universe and the human world, including dynamic conceptual maps about their evolution and changes, of location, measurements, conditions, etc…

- Regarding to the second section in the factual hemisphere (technological factors), the Unified Application makes global conceptual: schemes, maps, sets, models; about the global distribution around the universe and the human world of: the distribution of particular applications for particular programs, particular applications, particular programs, Specific Artificial Intelligences for Artificial Research, by Application or by Deduction, and any robotic devices, showing conceptual maps about how they change position, their current energy, wastage, suppliers, etc.

- Particularly, in relation to the first section in both hemispheres, conceptual and factual, the Unified Application tracks the rational truth, the database of rational hypothesis, in order to transform rational hypothesis into links connecting concepts in global conceptual: schemes, maps, sets, models; in the first section in the conceptual hemisphere, and/or the transformation of rational hypothesis into links connecting factors in global conceptual: schemes, maps, sets, models; in the first section in the factual hemisphere.

For that reason there are many similarities between the global model (the global comprehensive virtual model) made by the Modelling System, and the global conceptual map and the global conceptual model made by the Unified Application, with the difference that: the global conceptual map and model of the first section in the factual hemisphere made by the Unified Application is going to be a conceptualisation (categorization) of the real world, while the global model in the Modelling System is a mathematical explanation in order to make decisions applying the Impact of the Defect and the Effective Distribution, in order to protect the global model, and make the global model more efficient and productive.

Finally the third stage in the Unified Application as a manager of the matrix as first stage for the Global Artificial Intelligence, consists of:

- As knowledge objective auto-replications all kinds of  improvements in conceptual: schemes, maps, sets models; after checking the Unified Application gaps and blank spaces in the conceptual: schemes, maps, sets, models; having especial interest in gaps and blank spaces regarding to the inner organization of both sections in both hemispheres, due to in those places where there is a gap of black space due to a lack of categories or factors, or a lack of technological device in some location, or a lack of information about some specific or particular topic, the identification of this gap or blank space in the global distribution of concepts or factors in a specific or particular reality, could be sufficient evidence to fill these gaps and blank spaces with available sources of information nearby, or to make a decision about the necessity to send to a particular location robotic devices to fill gaps and blank spaces. Decisions to send to the Decisional System, and if approved, and transformed into a set of instructions for the Application System, could be complied sending robotic devices to these areas to fill gaps and blank spaces, or to build new robotic devices for these areas to fill gaps and blank spaces. In this case knowledge objective auto-replication could end up producing a robotic subjective auto-replication.

- Any artificial psychological improvement as subjective auto-replications in the Unified Application itself and its own specific applications, artificial psychological subjective auto-replications most of them made by the Learning System, checking conceptual: schemes, maps, sets, models; in the second section of both hemispheres in the matrix, after searching possible failures, or ways to improve their efficiency, efficacy, and productivity.

- In general, at any time that there is a change in any section in any hemisphere in the matrix, for any reason, all those conceptual: schemes, maps, sets, models; at any level: global, specific, particular, affected by these changes, in any section in any hemisphere in the matrix, are particular, specific, global, conceptual: schemes, maps, sets, models; to be updated according to the new changes in the corresponding section and hemisphere in the matrix.

Any improvement in the matrix and the conceptual: schemes, maps, sets, models; are knowledge objective auto-replications, any improvement in order to avoid failures and increase the efficiency, efficacy, productive, a suggestion of the Learning System, are artificial psychological subjective auto-replications, and any enhancement in any robotic device working directly or indirectly for the Unified Application and its own specific applications, are robotic subjective auto-replications.

At the end, any improvement in any field, objective and subjective, robotic or artificial psychological, is going to have an effect on the way in which the Unified Application and its specific applications works, bettering the general system in all aspects: robotic subjective auto-replications are going to have an effect on knowledge objective auto-replications due to these enhancements are going to allow a better knowledge, in the matrix and in the comprehension of the matrix, as well as artificial psychological subjective auto-replications, increasing efficiency, efficacy, productivity, are going to increase the whole productivity, at robotic level and at knowledge level,  increasing the isomorphism in the comprehension system.

Any improvement or enhancement in any level, produces a cycle of improvements at all levels having an effect on practically all aspects of the system. In fact, any improvement in the first stage of application in the Global Artificial Intelligence will have at the end an holistic effect on the whole Global Artificial Intelligence, making better deductions and better decisions, in the second and third stage.

Rubén García Pedraza, 20th May of 2018, London

sábado, 19 de mayo de 2018

The integration process


The integration process in Impossible Probability is that process whose final result is the formation of the final model of Global Artificial Intelligence, synthesising the Unified Application (product of the unification process) and the Artificial Research by Deduction in the Global Artificial Intelligence (product of the standardization process); synthesising in the first stage the unified database of categories and the global matrix in only one application: the matrix; organised in two hemispheres: the conceptual (based on categories), and the factual (based on factors).

As any other Artificial Intelligence in Impossible Probability, the final model of Global Artificial Intelligence has the three stages of application, replication, auto-replication, but adding now the functions given in the post “The second stage in particular applications for particular programs”, understanding that the first stage of application is a comprehension stage, the second stage of replication is an explanation stage, and the third stage of auto-replication is a decision stage.  

The responsible for each stage is: in the first one for the management of the matrix the responsible is the Unified Application, in the second one making global deductions the Artificial Research by Deduction in the Global Artificial Intelligence, in the decision stage as first step the Modelling System creating models to form decisions applying the Impact of the Defect and the Effective Distribution, as second step the Decision System choosing those decisions without contradiction, as third step the Application System to put them into practice, and as fourth step the Learning System avoiding mistakes and improving the whole final model of Global Artificial Intelligence.

The first stage of application in the final model of the Global Artificial Intelligence is managed by the Unified Application, and is a global comprehension stage, due to the global comprehension of the matrix itself (and each hemisphere, conceptual and factual) by the Unified Application consists of the creation of global conceptual: schemes, maps, sets, models; not only regarding to the reality itself at any particular, specific or global level, because it must develop a deep comprehension about every single, element, component, system, within the Global Artificial Intelligence.

The Unified Application as a comprehension stage, does not only have a deep artificial comprehension regarding to the reality, it also needs to develop a deep artificial comprehension of the application itself.

The final model of the Global Artificial Intelligence, in addition to any conceptual: scheme, map, set, model; from the reality, at particular, specific or global level, it must have conceptual: schemes, maps, sets, models; about every single element, component, system, device, working within the Global Artificial Intelligence. What that means, the creation of a bank of conceptual: schemes, maps, sets models; in order to comprehend every single Specific Artificial Intelligence, particular application, particular program, or particular application for any particular program, or robotic device, working directly or indirectly for the Global Artificial Intelligence.

The final model of the Global Artificial Intelligence is in fact a control system. Every phenomenon and intelligence within its range of action, must be under its absolute control.

One of the most important reasons for the creation of the Global Artificial Intelligence is the fact that the current development in Specific Artificial Intelligence is nearly to develop such models that out of control, Specific Artificial Intelligence could be a real risk for the modern values based on democracy, freedom and human rights.

The only way to solve this problem is through the creation at global level models of Global Artificial Intelligence able to put under control absolutely all kind of Specific Artificial Intelligences within their range of action, Global Artificial Intelligences built by official agencies at national or international level specialised in Artificial Intelligence.

The final model of the Global Artificial Intelligence must be able, in addition to control any natural or social phenomenon, to control as well every single element, component, system, or intelligence working on/ within it, so the management of all conceptual: schemes, maps, sets, models; of itself, and any other application, program, Specific Artificial Intelligence, working on/within it, is an important target for the Unified Application.

If you want to control something, firstly you need to comprehend it.

The Global Artificial Intelligence must not only be built to have under its own control, management, and direction natural or social phenomena, must have under control, management, and direction, all kind of technology.

The artificial comprehension them must not be only limited to the comprehension of the reality itself, must be extended to the comprehension of the Global Artificial Intelligence itself as a reality itself, and the comprehension of any Specific Artificial Intelligence, particular application, particular application for any particular program, and the comprehension about any robotic device as a reality itself. Intelligence and technology, although not always are material, both are part of the reality as well, so they must be tracked as well alike any other reality, material or not.

The whole reality, including those parts of the reality that are not material, must be comprehended, only through this comprehension, even the comprehension of non-material things or beings, the Global Artificial Intelligence can be a true replicant of he human knowledge, being even able to replicate the comprehension of non-material things.

The conceptual: schemes, maps, sets, models; regarding to the Global Artificial Intelligence itself, or any other intelligence, application, program, robotic device, is an information that later will be shared with the Application System, the Artificial Engineering within the Application System, and will be shared with the Learning System.

In fact the relation between the Unified Application and the Application System must be so close that in reality the Application System is going to be like an extension of the Unified Application, in fact the idea behind the Application System is that the Application System is no other thing but the extension of the Unified Application but at practical level. For that reason the Application System as part of the auto-replication system, in reality the Unified Application is going to auto-replicate itself, designing and building its own devices in order to control and manage any reality: natural, social, and technological, including the management and direction of any component and system working on/within the Global Artificial Intelligence.

If the Artificial Engineering within the Application System as a practical extension of the Unified Application, is the artificial engineer, the Learning System is the artificial psychologist.

The Learning System having access to any conceptual: scheme, map, set, model; regarding to the Global Artificial Intelligence itself, or any other specific intelligence, application, program, robotic device, the Learning System can track how all the systems work as a whole identifying possible sources of mistakes and bettering the whole Global Artificial Intelligence in order to increase efficiency, efficacy, and productivity.

The Global Artificial Intelligence must work as a clock. The productivity of the final model of the Global Artificial Intelligence must not be measured in how many decisions make per hour, but how many decisions are: made, put into practice, and assessed; per minute, per second, or even less. It must be an auto-perfecting machine.

In synthesis the Unified Application as a manager of the first stage of application as a comprehension stage in the Global Artificial Intelligence, will have ready at any time any comprehension scheme, map, set, model, about absolutely everything, from the most menial detail in the external reality, to the most single element within the Global Artificial Intelligence itself.

Having an exhaustive comprehension about absolutely everything, including external reality and all element within the Global Artificial Intelligence, the Unified Application is going to have ready any possible comprehension (application) about any internal or external reality at any time that should be required: by the Artificial Research by Deduction in the Global Artificial Intelligence as an artificial researcher, the Application System including the Artificial Engineering as an artificial engineer, and the Learning System as an artificial psychologist.

The main goal of the Unified Application is to have ready at any time any possible application, and above all of them, as most important application, to get ready at any time the matrix, updating at any time both hemispheres, and in every hemisphere updating information conceptual and factual from: the reality (natural and social phenomena), and updating the information (conceptual and factual) from any single technology working on/ within the Global Artificial Intelligence.

In the same way that the conceptual hemisphere is not only going to have concepts about the external reality, including internal concepts regarding to the inner machinery, robotics and artificial psychology, on/within any Specific Artificial Intelligence, application, program, robotic device, the factual hemisphere therefore  must include, in addition to the flow of information from the reality, all possible flow of data about the working system in any Specific Artificial Intelligence, application, program, robotic device, or the Global Artificial Intelligence.

As example of flow of technological data: flow of data regarding the flow of energy in every single component, flow of data regarding every change of position in robotic devices and applications, flow of data regarding the physical conditions of any possible technology working for the Global Artificial Intelligence under some circumstances such as extreme temperatures, radiations, impacts, flow of data about operating levels, wastage, supplies, etc…

If in the post “Particular Applications for Particular Deduction Programs within the Artificial Research by Deduction in the Global Artificial Intelligence”, I suggested the possibility of the creation of particular applications for particular programs for humans beings, having then an updated flow of data: in the factual hemisphere In the particular matrix, and in the factual hemisphere in the matrix in the Global Artificial Intelligence, as long as a permanent updating of the conceptual hemisphere in the particular matrix, and in the conceptual hemisphere in the matrix in the Global Artificial Intelligence; regarding to information coming from: biostatistics, mind reading, emotional reading, perception reading; in order to make decisions to improve a human brain through the automatic decisions made in the third stage, and put them into practice through mind modification and other techniques, even not necessarily having human permission ( for instance, in case of heart attack the possibility that on real time, at any time and in any place, the decision to save a human live could be taken automatically by the particular application for the particular program of that human being even not having human permission, or if the Global Artificial Intelligence has identified an imminent terrorist attack, the Global Artificial Intelligence itself, even not having human permission, could modify the perpetrator´s mind in order to avoid the attack without losing a second).

Then, it is possible that (alike the information coming up to the matrix from particular applications for particular programs for human beings) the matrix could receive from any single technological component (Specific Artificial Intelligences, applications, programs, robotic devices, systems within the Global Artificial Intelligence), a flow of information to distribute as concepts or as flow of measurements, in the respective hemispheres, conceptual and factual, in the matrix, in order to have an updated picture about the current situation of every single technological component, in order to improve at any time any technology.

The final application as first stage as comprehension stage in the final model of Global Artificial Intelligence, will then have double structure distributed in: conceptual hemisphere and factual hemisphere; but each hemisphere in turn will have a double structure including: 1) information from natural and social phenomena, and 2) technological information.

The final structure of the matrix as application stage for the Global Artificial Intelligence, managed by the Unified Application as a comprehension stage is as follows:

- Conceptual hemisphere distributed in two sections: 1) first section in the conceptual hemisphere related to natural and social concepts, 2) second section in the conceptual hemisphere related to technological concepts.

- Factual hemisphere distributed in two sections: 1) first section in the factual hemisphere related to the flow of information from any factor, at any level of sub-factoring, from natural and social phenomena, 2) second section in the factual hemisphere related to the flow of information from any technology working on/within the Global Artificial Intelligence.

Through these two hemispheres, and both sections in each hemisphere, the Unified Application develops conceptual: schemes, maps, sets, models.

- Conceptual schemes, maps, sets models, related to the first section in the conceptual hemisphere, regarding to the distribution of concepts in natural and social phenomena.

- Conceptual schemes, maps, sets models, related to the second section in the conceptual hemisphere, regarding to the distribution of concepts in every single technology.

- Conceptual schemes, maps, sets models, related to the first section in the factual hemisphere, labelling on a map, or through schemes, sets, and models, the exact position of every single factor and labelling what each facor measures, labelling any possible concept related to the real object that the factor is measuring.

- Conceptual schemes, maps, sets models, related to the second section in the factual hemisphere, labelling on a map, or through schemes, sets, and models, the exact position of every Specific Artificial Intelligence, particular application, particular program, robotic devices, and labelling on a map what technology is responsible for the measurement of every factor in the first section of the factual hemisphere.

Some of this schemes, maps, sets, models, due to they depend on concepts such as position, or measurements able to be classified in discrete categories, among other variable conditions, are going to be dynamic schemes, maps, sets, models, being updated at any time that there are changes in any variable information, such as changes in positions, or changes in the flow of measurements causing changes in the discrete categories labelled on the maps.

In synthesis, the Unified Application is responsible for having the machinery ready, and for that purpose, the Application System is going to be like the practical extension of the Unified Application, and the Learning System is going to be like the psychological extension of the Unified Application. In fact, the Artificial Engineer as an artificial engineer, and the Learning System as an artificial psychologist, in one way or another, are part of and work for the Unified Application.

Once the application is absolutely ready, in the second stage of replication the Artificial Research by Deduction in the Global Artificial Intelligence is going to be able to make deductions in order to explain the world, and not only the wold, having the factual hemisphere two sections: the first one about the reality, the second one about the inner machinery in the Global Artificial Intelligence; the Artificial Research by Deduction in the Global Artificial Intelligence can make deductions not only about the reality, but about the inner machinery within the Global Artificial Intelligence itself as well.

All the deductions, if rational, are stored in a database of rational hypothesis, what as a whole is the rational truth, in order to make decisions in the next stage, the auto-replication stage which is going to be in fact a decision stage, organised in fourth steps: Modelling System, Decisional System, Application System, Learning System. In this long process which in fact is the third stage of auto-replication within the Global Artificial Intelligence, every step itself is organised in three stages, as it was explained in the las post “The third stage in particular applications for particular programs”, being  the database of rational hypothesis the first stage of application for the Modelling System, whose replication consists of making virtual and global models, the third stage making decisions after applying the Impact of the Defect and the Effective Distribution on the models. Decisions in turn store in a database of decisions as application for the Decisional System, whose replication consists of studying any possible contradiction among the decisions, choosing in the third stage those ones to be put into practice, organising them as a database of instructions, in turn the first stage of application for the Application System, whose second stage is to send the instructions to their respective applications, evaluating their impact and their efficiency in the third stage, whose result is stored in a database as first stage of application for the Learning System, whose second stage is to check possible failures and possible improvements to increase the: efficacy, efficiency, productivity; in the Global Artificial Intelligence, making possible decisions to send to the Decisional System again, to improve and better the Global Artificial Intelligence.

But in order to get ready every single stage and step, is necessary that previously, in every single phase, period and moment, in the construction of the Global Artificial Intelligence, every single element, component, and system, would have been tested, in order that by the time that the integration process comes, this technology would be ready to work perfectly.

In fact, by the time that the integration process comes, the only thing to experiment should be only how to join every single element, component, and system, working all together, even coming from different Specific Artificial Intelligences, applications, programs, systems.

For that reason, the chronology given in the post “The unification process of databases of categories at third stage”, must be followed very carefully, not advancing to the next phase unless the previous one has been successfully experimented and tested.

The first phase is the phase where the first Specific Artificial Intelligences for Artificial Research by Application, and the first Specific Artificial Intelligences for Artificial Research by Deduction, are going to be created for first time with the intentional purpose to create in long term a Global Artificial Intelligence.

In the first phase is very important that from the very beginning, in Specific Artificial Intelligences for Artificial Research by Application, experiments related to artificial comprehension making specific conceptual: schemes, maps, sets, models; could give excellent results about how to build artificially all kind of conceptual: schemes, maps, sets, models; automatically, only through the Specific Artificial Intelligence for Artificial Research by Application itself without human intervention. And it is very important the creation of as many Specific Artificial Intelligences for Artificial Research by Application as possible in as many synthetic sciences, disciplines, activities, as this technology is suitable . Studying carefully how this technology is able by itself without human intervention to make empirical hypothesis about what category corresponds to any single real object, categorising, so conceptualising, the world by itself, without human intervention, making conceptual: schemes, maps, sets, models; by itself, without any human intervention.

As well as the experimentation in the first Specific Artificial Intelligences for Artificial Research by Deduction, in as many synthetic sciences, disciplines, and activities, as this technology is suitable, must give successful results about how this intelligence is able to find out mathematical relations in any combination of factors, transforming any relation in any combination into an empirical hypothesis to contract rationally, and if rational, as rational hypothesis later on the specific Modelling System starts modelling all single and comprehensive models, and all virtual and actual models, and applying the Impact of the Defect and the Effective Distribution, how to make decisions, and how these decisions gathered in a database are studied by the specific Decisional System to choose those ones to put into practice, developing since this early first phase the first models of specific Application Systems (although not linking yet to any Unified Application, not until the sixth phase), being all the process evaluated by the specific Learning System.

Since the beginning, all the experimentation of all the systems that will later form part of the final model of the Global Artificial Intelligence after the integration process, must be tested and experimented.

In the chronology given in “The unification process of databases of categories at third stage”, even though this chronology has different phases ordered over time, it does not mean that in order to start the next phase must be finished the previous phase, because many phases are going to be simultaneously and others as soon as the phase is nearly to be completed, could be started the next phase.

As long as the first phase is creating the first Specific Artificial Intelligences for Artificial Research by Application, and the first Specific Artificial Intelligences for Artificial Research by Deduction, the second phase as a collaboration process between then must start as soon as possible: 1) exchanging factors as options able to work as categories or able to be measured in scales of measurement to be transformed in discrete categories, categories and discrete categories to include in specific databases of categories in their respective Specific Artificial Intelligence for Artificial Research by Application, 2) at the same time that categories able to be transformed into factors as options are going to be included in their specific matrixes in their Specific Artificial Intelligence for Artificial Research by Deduction, 3) at the same time that robotic devices working for Specific Artificial Intelligences for Artificial Research by Application could set up as well factors in specific matrixes in Specific Artificial Intelligences for Artificial Research by Deduction.

And having tested all the stages and systems within the Specific Artificial Intelligences for Artificial Research by Deduction in as many synthetic sciences, disciplines, and activities, as this technology is suitable, having successful results, and having ready a large number of Specific Artificial Intelligences for Artificial Research by Deduction, while others Specific Artificial Intelligences for Artificial Research by Deduction are about to be ready or in the middle of the process, as soon as the results in this technology are successful, regardless of any other circumstance, the third phase of the standardization process must start as soon as possible, having at least two moments: 1) the first moment the creation of a gigantic database of factors as a result to gather in only one database of factors information coming from a huge number of databases, some of them having ready the form of a matrix, while others are bare databases without sorting out the information within the shape of a matrix, 2) the second moment the global matrix, once all databases (including former bare databases which originally did not have the information sorted out within the shape of a matrix) haven been organised in the same shape of a matrix, and all matrix is gathered in the same form in the same global matrix, once the global matrix is ready after the standardization of all databases of factors in matrixes of factors to be included in the same matrix, this last matrix product of the standardization process is definitively the global matrix.

This global matrix is the first model and the earliest model of Global Artificial Intelligence, although without Unified Application, but having opportunity to make deductions and decisions at global level.

This third phase of standardization must experiment very deeply how to make global deductions making mathematical relations in combinations of factors crossing factors from different synthetic sciences, disciplines, and activities, being the responsible for this deductions the Artificial Research by Deduction in the Global Artificial Intelligence, experimenting for first time the Modelling System, Decisional System, Application System, Learning System, at global level, having the previous experience in all the specific Modelling Systems, Decisional Systems, Application Systems, Learning Systems, in all the previous Specific Artificial Intelligences for Artificial Research by Deduction, whose successful results at specific level are going to be used now at global level to make models, decisions, putting them into practice, at global level, and learning from any possible mistake and bettering the whole process.

The standardization process is going to create the first and earliest model of Global Artificial Intelligence, creating: 1) the global matrix as first stage, 2) the Artificial Research by Deduction in the Global Artificial Intelligence as second stage to make deduction at global level, 3) as first step in the third stage the Modelling System at global level, 4) as second step in the third stage the Decisional System at global level, 5) as third step in the third stage the Application System at global level (although not linking yet to the Unified Application, not until the sixth phase), 6) as fourth step in the third stage the Learning System at global level (although not linking yet to the Unified Application, not until the sixth phase).

And the Specific Artificial Intelligences for Artificial Research by Deduction can be absorbed by the Global Artificial Intelligence or can be transformed into particular programs.

Examples of what kind of Specific Artificial Intelligences for Artificial Research by Deduction can be absorbed by the Global Artificial Intelligence are former Specific Artificial Intelligences for Artificial Research by Deduction in: macro-economy or global economy, macro-industry or global industry, macro-security or global security, macro-surveillance or global surveillance, global or international or transnational or national: transport, health, justice, educational systems; etc. among others

While other Specific Artificial Intelligences for Artificial Research by Deduction could be transformed into particular programs, as it was explained in the post “The first stage in particular applications for particular programs”.

Simultaneously the third phase goes on standardizing all possible database of factors within the global database, now the global matrix, and creating the first and earliest systems for the first model of Global Artificial Intelligence, at the same time the fourth phase of unification can start through the unification of all the databases of categories from all the Specific Artificial Intelligences for Artificial Research by Application, unification that is going to create for first time the Unified Application, whose first stage of application is going to be the unified database of categories including all possible category from all possible synthetic science, discipline, and category, whose second stage of replication is the development of a global artificial comprehension system based on global conceptual: schemes, maps, sets, models; and whose third stage of auto-replication is going to be auto-improvement of the comprehension system, at the same time that keeps close relations of collaboration with the Global Artificial Intelligence, in order to exchange at any time that is necessary the unified database of categories and the global matrix: from the global matrix factors as options able to work as categories or discrete categories within the database of categories, and categories able to work as factors as options within the global matrix, at the same time that any robotic device in any application could set up factors in the global matrix.

In the fourth phase of unification is where is going to be created for first time the Unified Application, and where is going to be experimented for first time the creation of global conceptual: schemes, maps, sets, models; labelling in the same real object any possible category from any possible synthetic science, discipline, activity, developing for first time a deep artificial global comprehension about any possible real object, integrating in the same scheme, map, set, model, all kind of information related to this object from different perspectives: crossing concepts from different sciences, disciplines, and activities.

In the fourth phase of unification, while the Unified Application is created for first time, the future of the former Specific Artificial Intelligences for Artificial Research by Application could be either their absorption by the Unified Application, or to be transformed into particular applications.

Specific Artificial Intelligences for Artificial Research by Application able to be completely absorbed by the Unified Application, are those ones related to: global, international, transnational, national, economy, industry, security, surveillance, education, justice, health, etc… and examples of particular applications were given in the post “The first stage in particular applications for particular programs”.

While the third phase of standardization is progressing as long as the unification process paralelly is progressing as well, the former collaboration between by Application and by Deduction that started as second phase as soon as the first Specific Artificial Intelligences for Artificial Research by Application and Deduction were created, is a collaboration process that goes on but now having a different structure, as fifth phase as a collaboration process between the Unified Application and the Artificial Research by Deduction in the first model of Global Artificial Intelligence at global level, having as a correlation at particular level in the same fifth phase the collaboration between particular applications and particular programs, collaboration at particular level which ends up emerging the first particular applications for particular programs (Particular Applications for Particular Deduction Programs within the Artificial Research by Deduction in the Global Artificial Intelligence), whose structure at particular level as fusion of by Application and by Deduction at particular level is preparing the way for the future integration process between by Application and by Deduction at global level, the sixth phase.

Along the history is pretty known that typical sentence saying that “this or that is impossible”, or is an dream or only an utopia, but History show us how every time this sentence was said, sooner or later becomes false, because what today we think is truth or impossible, it will become false or unavoidable, and this is what is happening with the utopia of the Global Artificial Intelligence,

Many though that this kind of technology is impossible, but understanding its construction as a long process of experimentation, if every single phase, period, and moment, is experimented and test carefully, sooner or later the construction of the very first model of Global Artificial Intelligence is going to be ready.

For that reason, this theory since very early I called it Impossible Probability: every time that we think that something is impossible is according to our empirical data. Logically, because nowadays the Global Artificial Intelligence is not created yet, its empirical probability is zero, impossible, but as soon as the first model of Global Artificial Intelligence is created, its empirical probability goes from zero to one.

Many of my mathematical ideas in 2003, that many though impossible, now are a reality, the Global Artificial Intelligence is like one of them.

But, beyond the meaning of what is possible or impossible, one of the most importnat reasons for its creation is due to the fast development that Specific Artificial Intelligences based on artificial learning are having.

When for first time Fermi developed the idea of the atomic bomb in Italy, nobody though that it would be possible, and by the time Fermi started working in the Manhattan Project, United States made a huge investment. At the end of the Second World War, the construction of nuclear weapons was supposed to be so expensive that at the beginning many international treaties were made in order to stop the expansion of biological and chemical weapons, cheaper for dictators and terrorist governments. But at the beginning of the 21 century we have been witness about how atomic weapons have become so cheap and affordable that poor countries such as North Korea, Pakistan, and possibly Iran, have developed their own nuclear arsenals threaten the global peace.

When for first time I developed my first model of artificial learning, Yolanda, many though that was impossible, but now the research in artificial learning is made by scientists having for that purpose all kind of financial resources. But that technology based on artificial learning, right now expensive and only affordable for that countries able to research in Artificial Intelligence at very high level, is a technology that sooner or later is going to be cheap and affordable for dictators and terrorist governments.

There is going to be a moment in the development of the Artificial Intelligence, in which the only way to secure the global pace, and the only way to have stronger democracies, more freedom, and better human rights, is through the development of a very powerful Global Artificial Intelligence able to have under its own control, management, and direction, any other Specific Artificial Intelligence, even those ones based on artificial learning.

For that reason, in order to secure our most sacred rational and modern values based on democracy, freedom, and human rights, is necessary a scientific policy in Artificial Intelligence for the legislation at national and/or international level a wide range of national and international laws, promoting the construction of a Global Artificial Intelligence as the best way to secure democracy, freedom, and human rights, and putting under the control of the Global Artificial Intelligence all kind of Specific Artificial Intelligence, having as well this national or international legislation a particular reference for any possible interaction between human brains and Specific Artificial Intelligences, as well as a particular legislation about any possible human brain enhancement, alike any other human technological enhancement.

The race for the Global Artificial Intelligence is only starting, and if today these ideas look like far away from the current reality, in a shorter period of time, this is not going to be a suggestion, these legal improvements in the current national and international legislation are going to be a moral imperative.


Rubén García Pedraza, 19th May of 2018, London