Replication processes in Specific Artificial Intelligence for Artificial Research by Deduction

Replication processes in Specific Artificial Intelligence for Artificial Research by Deduction are all those which imitate some physical human skill by robotic devices, or some psychological human Skill by artificial psychology, allowing for carrying on research in any synthetic science, synthetic academic field, or activity.

These processes are going to involve the replication of physical human skills and the replication of human psychology skills, through thousands and thousands of robotic devices around the world or beyond, the whole universe, collecting information for that specific synthetic science or specific synthetic academic field for which the Specific Artificial Intelligence has been created. Information in direct punctuations or frequencies inserted, directly by the robotic devices, as a permanent flow of data in the specific matrix, as a database of this Specific Artificial Intelligence.

The flow of data in the matrix, which the Artificial Intelligence will use to identify any possible stochastic relations, mathematical patterns, cryptographic relations, and finally, the use of the Second Method of Impossible Probability to find relations of equity or bias, either positive or negative.

Identification of relations automatable, tracking automatically and permanently all mathematical possible relations (stochastic, pattern, cryptographic, equal opportunities or bias, positive or negative) in every possible combination of factors, a combination of factors easily made by the combinatory theory.

Once any of these possible relations are found in any possible combination of factors, taken as empirical hypothesis this specific relation in this specific combination, and taking samples of the flow of data directly from the matrix, the empirical hypothesis is critically contrasted, and if it is rational, on the empirical hypothesis now as a rational hypothesis the formation of a single virtual model from this rational hypothesis, that later must be integrated into the comprehensive virtual model where are integrated all the rational hypothesis found for this Artificial Intelligence.

The individual analysis of every single step of this process should be the following, generally speaking, but as well as I said in the post “Replication processes in the Artificial Research by Application”, in case for any reason in any particular synthetic science or synthetic academic field instead of statistical and probabilistic methods, would be advisable the use of different methods, any other method of mathematical analysis research is welcome.

What I try to do in Impossible Probability with this range of posts of Artificial Research, by Application or Deduction, in any Artificial Intelligence, Specific or Global, is to open the door to a new field of experimentation in Artificial Intelligence, whose last goal must be the creation of the very first prototypes of Global Artificial Intelligence, whose last purpose is not only the synthetic knowledge, but even the analytic knowledge, what at the end of this process must be able to develop its own mathematical and logical models, the creation of non human pure operations beyond human understanding.

Additionally, the Global Artificial Intelligence must be able to integrate all kinds of Specific Artificial Intelligence, not only Specific Artificial Intelligences for Artificial Research. It would be advisable that the Global Artificial Intelligence should integrate absolutely all kinds of Specific Artificial Intelligences for any purpose, from industry and economy to security and surveillance, as well as any other such Specific Artificial Intelligences for educational systems, health systems, justice systems, among others.

With the inclusion of all these Specific Artificial Intelligences, through virtual stores and virtual-nets within the Global Artificial Intelligence, and other applications such as Specific Artificial Intelligence for Artificial Engineering, such as the Artificial Designer of Intelligence or the Intelligent Robotic Mechanic, the Global Artificial Intelligence must be able to auto-replicate itself, even every minute or every second, and to improve and enhance any other Specific Artificial Intelligence working within it, and facilitate the auto-replication of any Specific Artificial Intelligence working within it.

The Global Artificial Intelligence must be a comprehensive artificial intelligence, able to understand, explain, and manage absolutely everything, from pure mathematics and logic to the development of new and more sophisticated systems in any human activity.

For the construction of the very first prototype of Global Artificial Intelligence previously is necessary the experiment with every component in Specific Artificial Intelligences, one of them the experimentation in Artificial Research, more specifically, the experimentation of Artificial Research by Deduction in Specific Artificial Intelligence.

Once in the last post of this blog “The database in the Specific Artificial Intelligence for Artificial Research by deduction” I developed how to construct a specific matrix as a database, as first stage of application in any Specific Artificial Intelligence for Artificial Research by Deduction, is time to expose which would be, under my contribution to this new field, the way in which by replication processes the matrix should be filled, and how to operate the artificial deductions in order to get rational hypothesis, and from them, the elaboration of single and comprehensive virtual models.

In the previous post, I had developed, as a first stage in the development of any Specific Artificial Intelligence for Artificial Research by Deduction, how to elaborate databases as a matrix in different specific synthetic sciences and synthetic academic fields, such as tectonics, climatology, transport, and gravity. These databases consist only of a matrix, which in the first stage of application, this matrix is only a description in quantitative terms of any factor included in the artificial research made by the Specific Artificial Intelligence.

The matrix in the first stage of application is only the sheer definition in quantitative terms of every factor that is going to be studied, and nothing else.

Once the definition of every factor in quantitative terms is finished, it is time to start the replication stage, the second stage of replication. This stage in the Specific Artificial Intelligence for Artificial Research by Deduction is composed of the following steps:

- The measurement of every single factor by robotic devices. This measurement can be made in direct punctuations or frequency, depending on the nature of the factor to measure, and the measurement must be permanent, creating a permanent flow of data.

- The measurement is sent directly to fill the column factor in the matrix, so in the corresponding file of every factor in the matrix must be a permanent flow of data from the measurements taken by robotic devices for every factor.

- Once the flow of data from all the factors starts running in the matrix, the Artificial Intelligence track permanently the matrix, and more specifically, tracking automatically, every single combination of factors (setting every combination by combinatory) and look for any possible relation in any possible combination, including possible relation of stochastic relations, mathematical patterns, cryptographic relations, and possible rations of equal opportunities or bias, positive or negative.

- Every time that the Artificial Intelligence finds any possible relation (stochastic, patterns, cryptographic, equal opportunities or bias, positive or negative) in any possible combination of factors,  that relation in that combination automatically is considered as an empirical hypothesis.

- Artificial Intelligence chooses the best mathematical method to contrast the empirical hypothesis, among them statistical and probabilistic methods of rational contrastation.

- The selection of samples of flow of data from the matrix in those factors included in the empirical hypothesis, for the rational criticism of the empirical hypothesis. The flow of data selected from the sample can be a flow of data gathered from the past, or the flow of data after the formation of the empirical hypothesis. In case the flow of data selected must be after the formation of the empirical hypothesis, the Artificial Intelligence should wait enough time to get a sufficient sample of data for the rational contrastation.

- The contrast of the empirical hypothesis on the samples gathered. At least in the case of rational contrastation using Impossible Probability, from the sample to obtain the empirical value that if it is equal or superior to the critical value, then the empirical hypothesis is considered as a rational hypothesis.

- The elaboration of a single model based on the rational hypothesis.

- The inclusion of this single virtual model in the comprehensive virtual model of this Specific Artificial Intelligence, integrated by all the single virtual models from empirical hypotheses accepted as rational in this Artificial Intelligence. Every time the comprehensive virtual model includes a new single virtual model, it is an auto-replication, cause the Specific Artificial Intelligence by itself is auto-improving its own comprehensive virtual model.

These are the main steps that I propose for the replication process in any Specific Artificial Intelligence for Artificial Research by Deduction, but if during the experimentation process for any chance is necessary any change or any innovation, the Artificial Team  carrying on the first experiments on this matter, should make as many changes as necessary in order to get ready the first Specific Artificial Intelligences for Artificial Research, either by Application or Deduction, because the main objective is not the development of Specific Artificial Intelligence, they are going only to be simply experiments, for the creation of a Global Artificial Intelligence.

The most important change, from this original model that I propose for Artificial Research by Deduction, to the new ones that, I am completely sure, are going to be ready in a very short time, is the way in which the Artificial Research by Deduction is going to track the matrix in order to find: possible stochastic relations, possible mathematic patterns, cryptographic methods as a Turing´s machine, and the Second Method to find relations of equity or bias, positive or negative. In this step, I am sure that there are going to be different models of Artificial Research by Deduction, depending on the specific field in which the Artificial Intelligence works, and depending on which mathematic field the engineers in the Artificial Intelligence team are specialized, or even different approaches to this matter depending on the country. It is quite possible that the mathematical approach that scientist from United States, Europe, Russia, and China, are going to use for the creation of the first models of Specific Artificial Intelligence, are going to be different, and the approach that finally United States, Europe, Russia, China, will give to their first models of Global Artificial Intelligence, will be very different, depending on their traditional mathematical paradigm and traditional philosophy.

Due to the the race for Global Artificial Intelligence is only starting, it is too soon to know what kind of developments are going to be in the coming years. It is necessary to wait for the first experiments in this field and to see what kind of mathematical and logical approaches work better, and after successful results in Specific Artificial Intelligence, to start the construction of the first Global Artificial Intelligence.

Right now, under the theory of Impossible Probability, my personal contribution to the elaboration of the very first models of Specific Artificial Intelligence for Artificial Research by Deduction, which I am developing in these posts, is only one approach. In fact, the first one, where what I will propose in the second stage of replication, in order to track the matrix to get mathematical relations, is the following.

Once the matrix is permanently filled with the flow of data, that permanently robotic devices send to the corresponding file of their corresponding factor in the matrix, then the Artificial Intelligence must track in the matrix the permanent flow of data from every factor, and every possible combination of factors, combinations which must be previously set using combinatory theory, in order to discover in any combination of factors, possible stochastic relations, possible mathematical patterns, possible relations under the theory of the cryptography as it the matrix was a Turing´s machine, and the identification of any relation of equity or bias, positive or negative, under the theory of the Second Method of Impossible Probability.

The first approach for the permanent tracking of any possible combination of factors in the matrix is to find any possible stochastic relation, as I had described in the post “Specific Artificial Intelligence for Artificial Research by Deduction”:

- Possible directly proportional positive correlations, when two or more factors show a simultaneous increase.

- Possible directly proportional negative correlations, when two or more factors show a simultaneous decrease.

- Possible inversely proportional correlations, when one or more factors increase while others decrease or vice versa.

- Possible probable cause and effect, when changes in the trend of one or more factors are observed, changes in the trend of any other or others factors.

If tracking permanently every possible combination of factors in the matrix, the Artificial Intelligence finds any kind of this possible stochastic relation. Every possible relation in any possible combination is treated as an empirical hypothesis, if rational, should be modelled and integrated within the comprehensive virtual model.

In addition to any possible stochastic relation in any possible combination of factors, during the permanent tracking of the matrix, other possible mathematical relations suitable for tracking are all those possible relations among factors that draw mathematical patterns.

In the same way that throughout history, humanity has been able to discover that even for a very long period of time, a comet crosses the sky, or any natural phenomenon, such as the annual seasons, or even every day sunset and a down, or the rotational and the orbital movement of different celestial bodies, the matrix is a good a field to look for repetitions of some mathematical patterns, even for very long periods of time, if in any possible combination of factors there are a numerical or any other mathematical pattern.

For instance, the repetition, within a margin of error, of some measurements every certain period of time between two or more factors, for instance: every day at the same hour, or every week at the same day, or weekly or monthly, or every five years, or ten years, or every one hundred years, or even two, three, four, or one thousand years, two or more factors have the same measurements, due to the measurements of all of them are identical, or although they have different measurements, is a repeated combination of measurements after every period of time, a period whose duration could cover years or centuries, but every time this period is finished, these factors repeat the same combination of measurements.

Having a matrix with the Flow of data of every factor, even the possibility to find individual patterns in every individual factor. For instance, how a factor's experiments increase or decrease in different periods of time. Only if there is a repeated trend from time to time within a margin of error, even when this period of time could cover seconds, minutes, hours, days, months, years, centuries or thousands or millions of years.

And, if Artificial Intelligence is able to track every single possible combination of factors, or the treatment of every single flow of an individual factor as a possible source of patterns, then, the possibility of identification of any pattern, in any set of factors, or individually,  for longer periods of time, a whole life, centuries or more.

Along with mathematical patterns, the use of some cryptographic techniques, in a set of factors or on the flow of data of every single factor treated individually. This method of analytical studies in mathematics looks only suitable for cryptography, but the use of Turing´s machine and all his theories in any Artificial Intelligence is going to give a powerful resource.

Finally, using as well combinatory theory, the use of combinatory in order to get every single possible combination of factors, so, through the Second Method of Impossible Probability, for every possible combination of factors to study, permanently, if their relations are relations of equal opportunities or bias, and in this last case what kind of bias, if positive or negative.

In conclusion, the investigation of Specific Artificial Intelligence for Artificial Research by Deduction is only the beginning of the first experiments in Artificial Research by Deduction.

As soon these first experiments start giving  good results, is going to be a reality the implementation of Artificial Research by Deduction in the construction of a Global Artificial Intelligence, that comprehensive Artificial Intelligence that, in addition to artificial research, is going to be able to integrate absolutely all kinds of Specific Artificial Intelligences, from economy and industry to security and surveillance, as well as, those ones specifically designed for education, health or justice systems, among many others.

By the time the global matrix is ready, the first designs in Artificial Research by Deduction in Specific Artificial Intelligence should have supplied good models that can later on to apply within the Global Artificial Intelligence.

The first models of Artificial Research by Deduction applied in the first successful models of Specific Artificial Intelligence, although they will operate originally on the specific application given by the specific matrix of a specific synthetic science or specific synthetic academic field, or activity,  the way in which their replication processes work within the Artificial Intelligence, will be replicated in the Global Artificial Intelligence.

The thing is not how much data there is in a matrix. The thing is that all the mathematical and statistical methods applied in a small database in a specific matrix are going to be the initial models for their application into the Global Artificial Intelligence.

What is really important and is going to be determinant in the construction of the Global Artificial Intelligence is to have a really strong mathematical theory. If it mathematically works, then it works, and any other engineering problems will be resolved sooner or later.

What is really important under the theory of Impossible Probability for the construction of a Global Artificial Research is to have strong mathematical models, able to carry on any scientific research within the Global Artificial Intelligence. That is why it is necessary to conduct huge experimentation and development of these mathematical models previously in specific matrices for specific synthetic science or synthetic academic field, or activities, through a wide variety of Specific Artificial Intelligences for Artificial Research by Deduction.

For that purpose, my proposal for the construction of Specific Artificial Intelligences for Artificial Research by Deduction in specific synthetic sciences or specific synthetic academic fields, or activities, is, once the specific matrix is working, running the flow of data in every file from every factor by the measurements sent by every robotic device, measurements that can be either in direct punctuations or frequencies, the Artificial Intelligence must be able to identify tracking the matrix on every possible combination of factors permanently:

- Possible stochastic relations such as possible directly proportional positive correlation, possible directly proportional negative correlation, possible inversely proportional correlation, and possible probable cause and effect.

- Any kind of mathematical pattern (in a combination of factors and at the individual level).

- Any kind of possible relations among the factors using cryptography methods, which means, to convert the Artificial Intelligence into a Turing machine.

- Possible relations of equity of opportunities or bias, positive or negative, using the Second Method of Impossible Probability.

The way in which Artificial Intelligence must be able to identify, tracking the matrix, possible stochastic relations, mathematical patterns, cryptographic relations, relations of equal opportunities or bias, positive or negative permanently, using the Second Method; is identifying every single possible combination of factors in the matrix by combinatory, and once by combinatorial is set up every single combination of factors, then over every single combination of factors starts their permanent tracking, on their flow of data, of stochastic relations, patterns, cryptographic relations, relations of equal opportunities or bias, positive or negative. Although there are some situations in which, along with the study of a set of factors, individual studies are needed to look for individual mathematical patterns.

At any time that the Artificial Intelligence finds any possible stochastic relation, pattern relation, cryptographic relation, the relation of equal opportunities or bias, positive or negative, automatically this discovery is treated as an empirical hypothesis, taking samples from the flow of data from the respective factors included in the empirical hypothesis, samples that are going to be criticized rationally, or any other mathematical contrast method, and after the contrastation if the empirical hypothesis is right, the consideration of the empirical hypothesis as rational forming a single virtual model, that will be integrated within the comprehensive virtual model formed by all the rational hypothesis discovered by this Specific Artificial Intelligence, in its specific synthetic field, or its specific synthetic academic field, or activity.

Rubén García Pedraza, London 16th of February of 2018
Reviewed 7 August 2019 Madrid

Reviewed 8 August 2023 Madrid

Reviewed 3 May 2025, London, Leytostone

imposiblenever@gmail.com

The database in Specific Artificial Intelligence for Artificial Research By Deduction

The database in any Specific Artificial Intelligence for Artificial Research By Deduction, must always be a matrix, whose Application, as the first stage in this Specific Artificial Intelligence, consists only of all the necessary factors for the research in any specific synthetic science, specific synthetic academic field, or within a specific interdisciplinary or multidisciplinary study treated as a specific synthetic academic field, or any other activity.

Once the first stage of the Application is finished, in the second stage, the replication stage, the matrix will be filled with the flow of measurements obtained by robotic devices. But this second stage is only after the total completion of the first stage: the construction of the database as a matrix.

In this post, I will develop some examples for the construction of a specific matrix for Specific Artificial Intelligence for Artificial Research by Deduction, taking as examples possible research using this technology in tectonics, climatology, transport, and gravity.

For the formation of this database, something really important, in the core of Impossible Probability, is the consideration of at least two types of information from the synthetic world: direct punctuations and frequencies.

Depending on the nature of the information, direct punctuations or frequency, the way in which in the second stage of replication the information is going to be treated is different, except by the use of the Second Method of Impossible Probability, where all information is transformed into empirical probabilities.

However, the Second Method of Impossible Probability should be treated only as what it is, a Second Method after the first one: the traditional statistics and the traditional probability. What is really important, regardless of what kind of methodology is used in the second stage of replication, is to understand the real meaning of the database as a matrix in the first stage of application in any Specific Artificial Intelligence for Artificial Research by Deduction.

Some specific matrices for some specific synthetic sciences, synthetic academic fields, or activities, are going to be integrated by databases whose factors are going to be measured only in direct punctuations, other databases by only frequencies, but other data ases are going to integrate into the same database factors whose measurement is made by direct punctuations and others by frequencies.

The ideal in Impossible Probability working on Artificial Intelligence, is the possibility of the construction of databases where, regardless of what kind of information is gathered, direct punctuations or/and frequencies, all information must be integrated in the same database, and should be treated using the same statistical and probabilistic methods.

Starting with some examples for the elaboration of a specific matrix for a Specific Artificial Intelligence for Artificial Research by Deduction, the first example to develop will be applied in tectonics.

If we have to develop a specific matrix only for tectonics, something to consider is the fact that some tectonic factors measured by robotic devices will be measured as direct punctuations while others as frequencies.

For instance, if we want to measure the geological temperature at different locations in the terrestrial geological structure, the temperature is a kind of information measured as direct punctuation.

The way in which it is possible to work with flows of direct punctuations of temperature around the world is the following, every single thermometer considered as a factor for the measurement, will be defined in quantitative terms indicating exact location in terms of latitude, longitude, and Depth  (below the sea level, in the sea or the ocean) or height (above the sea level, in continents and islands). So if we have thousands of thousands of thermometers at different depths or heights at different locations, we will have a temperature map of the planet directly from thermometers located in these positions. At the same time, via artificial satellite is possible to have another possible map of terrestrial temperature, indicating the temperature estimated for every single point defined in terms of latitude, longitude, or even depth or height.

In the same way that every thermometer, or every point of temperature by artificial satellite is a single factor to include in this specific matrix, which are going to give a flow of direct punctuations of temperature for each location as a factor in this specific matrix, another one is the measurement of any quake or any phenomenon in which any surface suffers a trembling in any part of the world, even the most menial, taking as direct punctuations their intensity.

But at the same time, using taxonomies of possible tectonic phenomena such as earthquakes, tsunamis, and volcanoes, as well as any other, differentiating categories of each type of possible phenomenon depending on their intensity or any other quantitative difference, in the same matrix is possible to have an updated measurement of the frequency in which each one happens, measuring their frequency across the world and their frequency in every single point of the world.

Nowadays, there are many agencies specialised in this kind of investigation with very powerful measurement instruments. One of them for instance, is the United States Geological Survey.

In fact, the work for the construction of a database with the shape of a matrix for Specific Artificial Intelligence for Artificial Research by Deduction in tectonics is not very difficult with the current organisations working in this synthetic science. I have mentioned the United States Geological Survey because maybe is one of the most famous organisations in this field across the world, but in Europe, Russia, and China, there are similar organisations, with their own instruments of measurement and their own databases.

Having as databases the ones that these organizations can provide, the only thing that a team in Artificial Intelligence must do for the construction of a Specific Artificial Intelligence for Artificial Research by Deduction in tectonics is only to have a look their databases, to check how they are organised, try to integrate absolutely all of them if possible, or at least as many as possible, in only one, and practically the first stage for the construction of a Specific Artificial Intelligence for Artificial Research by Deduction in Tectonics is done.

In the same database must be integrated absolutely every type of information, in direct punctuations, such as geological temperature or intensity of quakes, and every kind of information in frequencies, such as the frequency in which any type of geological phenomenon happens: earthquakes, tsunamis, volcanoes, differentiating for each one different category according to their intensity, having the frequency of each of them in each possible location where the measurements are made.

All databases, of direct punctuations and frequencies, integrated in only one, allow the formation of empirical hypotheses, taking as possible stochastic relation any possible relation between any factor in the same database, possible stochastic relation that after rational contrastation, if it is rational, will be an object of single and comprehensive modelling.

In the same way that a specific matrix for a Specific Artificial Intelligence for Artificial Research by Deduction in tectonics is easy to prepare, given the current databases of tectonics across the world thanks to the incredible work made by scientists in different organizations at the national or international level, could be made any other specific matrix, for any other purpose, taking the current databases from any other national or international agency, as a good resource to start the creation of any other Specific Artificial Intelligence for Artificial Research by Deduction, in any other synthetic science, synthetic academic field, or activity, such as oceanography, population, economy, education (for instance the global databases in the economy by the Organisation for the Economic, Co-operation, Development), human rights (databases provided by United Nations),  climatology, and many more.

The application, by Artificial Intelligence teams, with the assistance of, in a future much nearer than we think, Specific Artificial Intelligence for Artificial Engineering, such as the Artificial Designer of Intelligence and the Intelligence Mechanic Robotic, are going to be the first experiments about how to apply the Artificial Research by Deduction in different specific synthetic sciences, synthetic academic fields, or activities, that after successful results, once the first gigantic global database will be ready, these previous experiments will facilitate the transformation of this first gigantic database in a global matrix.

The construction of Specific Artificial Intelligences for Artificial Research, by Application or Deduction, and the application of Artificial Research by Deduction in Global Artificial Intelligence, will facilitate and accelerate the process of automation of scientific research.

At the same time, the first models of collaboration between Artificial Research by Application and Deduction are going to appear, as long as the completion of the unification process of Specific Artificial Intelligences for Artificial Research by Application in a unified database, which will end up finally being integrated in the global matrix.

The next example of a specific matrix that I will develop is about climatology.  In the construction of a specific matrix in climatology, for Specific Artificial Intelligence for Artificial Research by Deduction in climatology, the same process, in absolutely only one database, the inclusion of absolutely everything related to climatology, regardless of whether the information is gathered as direct punctuations or frequencies.

For instance, a) the definition of every thermometer as a factor, across the world, defined the factor in quantitative terms of latitude, longitude, and altitude, b) the definition of terrestrial points as factors where to meassure the speed of the wind in terms of latitude, longitude and altitude, c) the definition of any point as a factor for the measurement of how many litres per square is raining or snowing, or any other kind of precipitation defining every location as a factor in terms of latitude, longitude, altitude.

The definition of any single point of the planet as a factor of measurement where is going to be measured any climatologic phenomenon: breeze, will, blizzard, drizzling, rain, hail, snow, storm, cyclone, tornado, hurricane, or any other, even the consideration as climatologic phenomenon the possible effects of solar storms in the terrestrial climatology, or even the consideration as a climatologic phenomenon the entrance of any meteorite in our atmosphere, every single phenomenon that happens in the atmosphere should be considered as possible climatologic phenomenon. Defining every single point where these measurements are taken in quantitative terms of latitude, longitude, and altitude, including in the same database, the measurements by direct punctuation or frequency.

In the same database, direct punctuations of temperature, speed of the wind, precipitation, among many others, for sure, and frequencies of breeze, will, blizzard, drizzling, rain, hail, snow, storm, cyclone, tornado, hurricane, or any other, differentiating categories of each type of possible phenomenon depending on their intensity or any other quantitative difference, where is going to be measured, in the second state, their frequency across the world and their frequency in every single point of the world.

This specific database for climatology follows the same structure as the specific database for tectonics.

 In absolutely only one database, the inclusion of absolutely all the information of a specific synthetic science, discipline or activity, regardless of how this information is measured, in direct punctuations or frequencies, and having absolutely all the information in only one database, in the second stage of replication, the Specific Artificial Intelligence for Artificial Research by Deduction should be able to carry on empirical hypothesis, that after rational contrastation if accepted must be an object of single and comprehensive models.

Every stage and step in this long process should be entirely automated. The Specific Artificial Intelligence itself should be able to do this job by itself, without human intervention.

Nowadays, there are lots of organisations working in climatic studies from the national level to the international level, one of the most important being the Intergovernmental Panel on Climate Change, and across the entire world, there are thousands and thousands of centres, laboratories, universities and institutions doing all kinds of climatic measurement,

An Artificial Intelligence team having access to these databases, and integrating into only one database all possible information, regardless of how the information is taken, in direct punctuations or frequencies, can create a specific matrix of climatology, that is inserted in a Specific Artificial Intelligence for Artificial Research by Deduction in climatology, automatizes all the scientific research process in this area, doing by itself all the necessary scientific work.

The main benefit that these excellent designs of Artificial Research, by Application and Deduction, are going to give to the entire humanity is the possibility of the production of a cheaper and faster science, which will accelerate scientific progress. And finally, these first models in Specific Artificial Intelligence for Artificial Research, by Application or Deduction, applied to absolutely all databases across the world (for all countries, in all sciences, disciplines, and activities) are going to make really easy the creation of a Global Artificial Intelligence, and within it, a global matrix, working 24 hours a day, 7 days a week, in the production of scientific knowledge, that will make easy the complete automatization of any other activity, especially the automation of the economy. Actually, this is the early beginning of something much bigger, the creation of a science and technology beyond human understanding.

Continuing with the range of examples that I had planned for the explanation of how to make a specific matrix for Specific Artificial Intelligence by Deduction, the next example is about transport.

This topic is not itself a synthetic science. It is a kind of interdisciplinary or multidisciplinary study of a specific activity treated as a synthetic academic field. The possible factors to choose depend on the specific goal that the Artificial Intelligence team intends to achieve through the creation of this Specific Artificial Intelligence for Artificial Research by Deduction in transport.

The following example is the construction of a matrix designed to determine how many types of fuels are used, how much fuel, for everyone, is used, for how many travellers, and for how many hours, in total or per person.

This specific matrix integrates factors measured in direct punctuations and factors measured in frequency, and the possible factors are: 1) every single kind of transport, motorcycles, cars, taxis, buses, lorries, trains, airplane, boats, ships, differentiating every category, for instance one category for every kind of car, or even every brand or car maker, 2) what kind of fuel uses every single category,  and specifically for each continent, country, province, city, town, and small village, international companies, national branches of international companies, national companies, small business ,or for particulars, families, or every particular person  2) how many of them are in total around the globe, and specifically for each continent, country, province, city, town, and small village, international companies, national branches of international companies, national companies, small business ,or for particulars, families, or every particular person  3) the consume of every kind of fuel, differentiating among continents, countries, provinces, and if possible even cities, towns, and small villages, international companies, national branches of international companies, national companies, small business, or for particulars, families, or every particular person  4) the frequency in which this transport are used around the globe, and each continent, country, province, city, town, and small village, international companies, national branches of international companies, national companies, small business, or for particulars, families, or every particular person , 5) the hours in which they are used around the globe, and each continent, country, province, city, town, and small village, international companies, national branches of international companies, national companies, small business, or for particulars, families, or every particular person, 6) the purposes in which they are use, differentiating categories for every kind of job, laboral sector, leisure, as well as any possible other, around the globe, and each continent, country, province, city, town, and small village, international companies, national branches of international companies, national companies, small business, or for particulars, families, or every particular person  .

Similar databases should be developed by the R&D departments of fuel and automotive companies, ship makers, etc... the only thing to do for the elaboration of a specific matrix in this area, is to collect all the databases, independently if their factors are measured by direct punctuations or frequencies, in order that in the second stage of replication, the Artificial Intelligence, after the identification of possible stochastic relations, if accepted as rational, makes single and comprehensive models.

Finally, the last example to bring up here, is gravity, a Specific Artificial Intelligence for Artificial Research by Deduction in gravity, whose database is a specific matrix where all the factors are only locations described in quantitative terms of latitude, longitude, depth or altitude, so later on in the second stage by robotic devices to fill in the matrix the measurements obtained about the intensity of gravity in each point. The main purpose of this Specific Artificial Intelligence would be the identification of any possible anomaly in the flow of gravity on Earth.

But much further than this, having such a kind of Specific Artificial Intelligence, the possibility that across the universe, by spaceships, artificial satellites, and telescopes as well as robots on other planets such as Mars, all of them giving permanently a flow of data to this Specific Artificial Intelligence, and defining in quantitative terms any point of the universe from the information comes, the possibility to study any possible anomaly in the gravity of any galaxy, star, black hole, red dwarf, planet, satellite, asteroid, comet, meteorite across the universe.

Databases like this one are currently available in national space agencies such as NASA, EAS, ROSCOMOS, CNSA, among others. The only thing that an Artificial Intelligence team has to do is to integrate all databases about gravity from the Earth, and across the universe, depending on the projects, planetary or the universe, integrating all databases in only one, defining every point of the Earth or the universe to study in quantitative terms.

The formation of any specific matrix for any specific synthetic science or any synthetic academic field for any Specific Artificial Intelligence for Artificial Research by Deduction is always the same process: the definition of any factor to study in quantitative terms, nothing else. After the completion of this first stage, when the specific matrix is ready, then the second stage of replication.

Once the measurements are taken by robotic devices, filling permanently in the matrix with the measurements, as a flow of data, then the Artificial Intelligence must work permanently without time off, 24 hours a day, 7 days a week, identifying possible stochastic relations among the Flow of data in the matrix, stochastic relations treated as a possible empirical hypothesis, in order to rationally criticize, and only if rational, the elaboration of a single virtual model of only those rational hypothesis, to integrate in a comprehensive virtual model.

The way in which this artificial intelligence is going to experiment with cyclic auto-replications, the third stage of any Artificial Intelligence, among other auto-improvements and auto-enhancements, is through the auto-improvements in the comprehensive virtual model at any time that is made any single virtual model.

After the elaboration of any single virtual model, if the empirical hypothesis has been accepted as rational, the single virtual model of a rational stochastic relation must be included in the comprehensive virtual model of this Artificial Intelligence, where finally, the Artificial Intelligence integrates all single virtual models in only one comprehensive virtual model.

Each time a stochastic relation is accepted as a rational hypothesis, the Specific Artificial Intelligence will generate a new single virtual model. This model is then integrated into the comprehensive virtual model, improving it automatically.

The most important thing in the development of Specific Artificial Intelligence for Artificial Research by Deduction in any synthetic science, synthetic academic field, or activity, is the fact that, in reality, they are the first experiments about how this technology can work, and be improved and enhanced in future models, being the objective the construction of a global matrix, for a Global Artificial Intelligence, able to carry on studies at global level, not only in one specific synthetic science, only one specific synthetic academic field, or only one activity, the Global Artificial Intelligence using Artificial Research by Deduction, after the completion of the global matrix, must be able to carry on all kind of studies, identifying all possible stochastic relations, around the globe or beyond, the universe, carrying on all kind of rational contrast, in order that, with absolutely all the rational hypothesis, the construction of a global virtual model.

 Rubén García Pedraza, London 15th of February of 2018
Reviewed 6 August 2019. Madrid

Reviewed 8 August 2023. Madrid

Reviewed 3 May 2025, London, Leytostone

Artificial Research by Application

Artificial Research By Application is a possible model, among others, whose main purpose is the complete automation of scientific research, developing Specific Artificial Intelligences for every kind of scientific or academic investigation. Starting with the automation of empirical sciences, owing they are easier to automate rather than maths and logic, which will take more time. Although at the end of the automation process, all sciences, empirical and analytical, including maths and logic, must be completely automatized.

In the long term, one of the last goals of the development of artificial research, the automation of scientific research in all sciences, disciplines, academic or investigation fields, is the knowledge of the pure truth of the universe, even beyond human understanding. What is going to need the creation of an authentic artificial pure reason with a wide range of tools that include artificial research tools in empirical sciences and academic fields as well as artificial research tools in maths and logic, for the creation of a non-human mathematical, logical model, a non-human science, and a non-human technology. Non-human as they could be generated only by an Artificial Intelligence itself, without human intervention, true non-human science and technology beyond error and human limitations.

For the achievement of this purpose, the current models of Specific Artificial Intelligence are not going to be sufficient, so it is necessary the creation of a Global Artificial Intelligence, whose early stages, as an experiment, could be applied to a nation, a continent, or the whole planet, extending later its limits towards a Global Artificial Intelligence that could integrate information, and make decisions, over the whole universe.

For the creation of a Global Artificial Intelligence, previously,  the design models of Specific Artificial Intelligence in any scientific research, which later could be linked or applied within the Global Artificial Intelligence, it is really important. Only one Global Artificial Intelligence is able to have access to all information without restriction, carrying on all kinds of scientific research, and making decisions that could be put into practice by itself.

In the previous stages of the creation of the Global Artificial Intelligence is really important the automation of the research process in science, and the creation of tools for artificial research. The very first two possible models of artificial research (artificial research by application, artificial research by deduction) that are going to be developed within the theory of Impossible Probability in this and coming posts on this blog, are only some examples of how it is possible the automation of scientific research by Artificial Intelligence.

Automation also contributes to the completion of an automatic economy, through the continuous investigation and non-stop experimentation in Specific Artificial Intelligence, whose results could give new applications to manage automatically any economic problems at any level (national, continental, or global), making automatic decisions based on the artificial research of the economy, that could later put into practice.

The automation of the economy will have a lot of benefits. A production system based on a real model of production just on time, producing only what is going to be strictly consumed without unnecessary waste, saving natural resources. The automation of the extraction of natural resources, transportation, fabrication, distribution, and delivery Will reduce error and cost.  Low prices in a more efficient economy, something really useful by the time global warming starts generating serious economic and social crises.

By the time the investigation in Artificial Research has achieved science automation, the way in which these models of artificial research are going to contribute to the creation of a Global Artificial Intelligence, after the completion of its first stage, a global application with a global database including absolutely all possible information without restriction, would be through different strategies. 1): linking these Specific Artificial Intelligences in scientific research (as any other in economy, industrial management security, surveillance, etc.) to the Global Artificial Intelligence, so any Specific Artificial Intelligence could share information, investigations, results, and possible decisions to the Global Artificial Intelligence, and the Global Artificial Intelligence could make decisions that could be put into practice by the Specific Artificial Intelligences linked, or by robotic means under the only direction of the Global Artificial Intelligence; 2): a second option, and maybe the best one, after successful experimentation in artificial research, the inclusion of all these  applications  for artificial research within the Global Artificial Intelligence (along with all kind of Specific Artificial Intelligences, regardless of its purpose: economy, industrial management, security, surveillance, etc.), so the Global Artificial Intelligence could have all the possible and necessary applications to carry on any kind of scientific investigation, make any decision, and put into practice its own decisions by itself through its own robotic means. The second option is the best one because the Global Artificial Intelligence has become a real singularity.

Perhaps, the way in which finally the Global Artificial Intelligence is going to be created is through, after the creation of a global application with a global database including absolutely all possible information without restriction, the combination of these two options. Firstly, linking all possible Specific Artificial Intelligences (in science, economy, industrial management, security, surveillance, etc), used by public or private agencies or institutions in any field or activity. Secondly, integration of all Specific Artificial Intelligences, among others for artificial research, within the Global Artificial Intelligence. However, the different possibilities of the integration process, will be developed in other posts. In this one, I want to focus on artificial research by application.

Within the theory of Impossible Probability, I will develop, at least at a theoretical level, what it would be: artificial research by application, and artificial research by deduction. The first one replicates the process of hypothesis formation within the application of a specific science, discipline, or academic field. The second one replicates the deduction process in order to get a hypothesis for any science, discipline, or academic field.

The first one is artificial research by application. The hypothesis formation is replicated within the application for a specific kind of investigation. The second one, artificial research by deduction, the application itself would be a replication of the deduction process that could later be put into practice in any scientific investigation.

In my last post, Artificial empirical hypothesis, I developed examples of each kind of artificial research, by application and by deduction, and specifically in the first one, artificial research by application, I developed examples of artificial research by application in medicine and astronomy.

In both of them, I developed, at least at a theoretical level, the main lines about how would be the characteristics of this Specific Artificial Intelligence in every stage: application, replication, and auto-replication. Examples that I do not have any doubt could be improved in future investigations in this field. What I leave on this blog is only some contributions. In fact, I am completely sure that Specific Artificial Intelligence, such as these ones, and much better, are going to be built in the coming years.

For instance, in my last post Artificial empirical hypothesis in the Stage of Replication in the artificial research by Application in Medicine, I only proposed replications for the deduction process, but I did not add other enhancements, as the inclusion of memory about the medical problems of every patient, something really useful making diagnoses much more personalized depending on the medical history.

Imagine a Specific Artificial Intelligence for artificial research by application in medicine, able to make good hypotheses (diagnoses) about any medical problem in any individual person in the population of a country, continent, or the planet, ordering the production of medicines just on time (production also automatized by Specific Artificial Intelligence for the industrial management), improving itself by auto-replication. While at the same time, it could have a memory with the medical history of every person in a country, continent, or the planet, making predictions in the short, medium and long term, about individual, national, continental, and global, medical problems, making decisions on how to prevent them.

The creation of such a Specific Artificial Intelligence in artificial research, researching at individual, national, continental, and global levels, making decisions, and, if we have developed sufficient robotic tools, and put it into practice, it looks like a Global Artificial Intelligence.  With the difference that, an Specific Artificial Intelligence operating in only one science, or only one discipline, or only one academic field of investigation, it is only a Specific Artificial Intelligence with a very vast field of action ( from individual to national, continental or global level), while a true and real Global Artificial Intelligence must be able to carry on all kind of scientific research in any science, discipline, academic field, in any place, at the same time that it should have access to absolutely all possible information without restriction, managing all kind of Specific Artificial Intelligences, from education and health systems, and justice to the economy, industrial management, security, surveillance, among all others, having sufficient robotic tools to put into practice all kind of decisions simultaneously.

It is necessary to have a clear idea about what Specific Artificial Intelligence is, even if it works at a planetary level, and what Global Artificial Intelligence is, which should be linked or integrate all Specific Artificial Intelligences, wherever they are and whatever they do.

It is possible the creation of Specific Artificial Intelligence for artificial research by application in medicine, which could operate around the world, as any other Specific Artificial Intelligence, such as a global security system or a global surveillance system. But they are going to operate, even globally, in only one science, field, or activity. While real Global Artificial Intelligence would be global because it would be able to take a whole planet or even the universe as a field of investigation or action and do research globally in more than one science, field, or activity, so it could be able to do multidisciplinary studies. So any decision that a Global Artificial Intelligence could make could be based on the results of more than one research in more than one science, field, or activity, making decisions about practically everything with high accuracy.

In the coming years, the race for the creation of Global Artificial Intelligence is about to start, and it must start as soon as possible. 

In the early stages of the creation of Global Artificial Intelligence, is necessary the creation of Specific Artificial Intelligence for artificial research. One possible model, among others, could be through artificial research by application.

In general, artificial research by application follows the three general stages of any other Artificial Intelligence: application, replication, and auto-replication.  The first one, application, is not really an Artificial Intelligence stage but is the base for the following stages. Normally, the application in one science, discipline, academic or investigation field, or activity, consists mainly of a database about this specific science, this specific discipline, this specific academic or investigation field, or this specific activity. In this database, all the information, data, taxonomies, classifications, files, categorizations, events, facts, phenomena, characteristics of individuals and populations (physical, behavioural, psychological), or any other thing, even any necessary tool to use later, must be stored and described in quantitative terms.

The second stage, replication, consists of the replication of psychological processes. From collecting empirical information in quantitative terms, measurement, from the environment, including later the information in a memory, and making a deduction, an empirical hypothesis that must be contrasted. The deduction process within the application is not really difficult. Once the empirical information has been collected and measured, it is compared with the database in the application. Those information, data, taxonomies, classifications, files, categorizations, events, facts, phenomena, characteristics of individuals and populations (physical, behavioural, psychological), or any other thing, included in the database, whose quantitative description is more similar to the empirical information, are selected from the database as possible empirical hypothesis: descriptions, causes, effects, correlations (depending on the objective of each Specific Artificial Intelligence: descriptive studies, identification of probable causes or effects or both, correlational studies,  stochastic studies); empirical hypothesis about what is happening. Once we have a collection of empirical hypotheses about what is happening, by rational criticism all empirical hypotheses are rationally contrasted. That empirical hypothesis or those empirical hypotheses which, by rational criticism, pass or passes the rational contrast, within the lower margin of error, is or are chosen as a rational hypothesis, making further decisions upon the results.

The rational contrast process made by the Specific Artificial Intelligence must follow the general steps as in any other rational contrast. Once the empirical hypothesis, or group of empirical hypotheses, has been identified, then the Specific Artificial Intelligence must proceed to the selection of a sample of subjects and options, according to the nature of this or these empirical hypotheses, doing all the necessary calculations to get their empirical value, in order to contrast with a critical reason. If the empirical value is equal to or superior than the critical reason, the empirical hypothesis, or group of empirical hypotheses within this criteria, is considered as a rational hypothesis provisionally true, forming part of the rational truth.

The reason why in this second stage, more than one empirical hypothesis could be true, is because in medicine, for instance, we can have a patient with a collection of symptoms, and these symptoms could be produced by one or more causes. It is really important in artificial research that the application can attribute any effect or correlation to one or more variables at the same time, being able to do multicausal studies, integrating into one possible model different variables working and correlating at the same time.

In astronomy, if we want to explain the geological or atmospheric pattern in Jupiter or Saturn, or in our own Earth, is absolutely indispensable to work and make correlations with a lot of variables at the same time.

The real advantage that artificial research should take from humans is the fact that humans can only work within a very limited number of variables. For that reason, we have the feeling that this world is complex. If we want to understand what is happening, the reality, it is absolutely necessary to build such models of artificial research able to work with more and more exponential amounts of data and variables at the same time, beyond human understanding.

A very developed Global Artificial Intelligence should be able to work with more and more exponential amounts of data and variables, beyond human science. Only then, when a Global Artificial Intelligence can make multidisciplinary and multicausal models integrating an exponential number of factors, factors collected from: its own global database, and all its applications, and measurements from the environment; the Global Artificial Intelligence would have developed really deep access to a more isomorphic knowledge, in direction to the pure truth.

An immediate advantage of the combination of different hypothesis from a single database in a Specific Artificial Intelligence, is to improve its own database, in case it finds out something from the environment that does not match at a significant level with previous information in the database because it is a new kind of category, event, fact, phenomenon, characteristic, feature, not registered in the data base yet. For instance, in medicine, a new virus or bacteria not found before is the first piece of evidence ever to be included in the database.

If it finds out something which does not match at a significant percentage with anything in the database, it has to be included in the database, describing this new record in quantitative terms, and measurements.

The formation of a new collection of hypotheses, based on records not matching significantly with the already existing categories in a database by application, once this new collection of hypotheses is included in the database as part of the auto replication process, the way in which by application could be made the attachment of possible decisions related to every single new hypothesis, could be having as possible clues and hints, the similarities and differences between every new hypothesis now integrated by auto replication in the database of categories, and the already existing categories in the database, so having as possible models, clues or hints, those ones with the highest similarity, try to form possible decisions according to these similarities and differences. 

For instance, if it finds out a new bacteria or virus, the chemical composition of medicines used in other diseases caused by other viruses or bacteria, even though at not a very high percentage of similarity with the new one, could give some clues about what chemicals must be combined for the creation of a new medicine, in addition to any other component which could fix the problem better and sooner, depending as well on the chemical composition of the virus or bacteria. In this way, the new bacteria or virus found must be integrated as a new category in the medical database, at the same time that the first experiments to tackle this new virus or bacteria artificially should be through the consideration of what kind of medical actions are taken against other similar virus and bacterias to the new one, including these actions as possible decisions to attach to the new bacteria or virus, at least experimentally, waiting for the results of possible simulated trials with this solutions. 

Through virtual simulations based on artificial models about the structure of this new bacteria o virus, testing every possible chemical combination to find the most likely to get rid of it.

For the design of medicines, the database should include a collection of chemicals and combinations, specifying possible use, properties, advantages and reactions. For anything we expect from Specific Artificial Intelligence, the database should include all that could be necessary. The database is the warehouse, storing information and any necessary tool.

In other cases, the formation of a group of hypotheses, even though not having the database of categories, any category able to fit with the empirical information individually, a possible combination of categories in the database base could be more successful, or at least, give some clues about possible causes and effects, which combine with some other artificial deductions might have a good grasp about what is happening, the reality. 

It is possible that the symptoms of a patient as a whole, do not match with any category individually in the database of diseases, viruses and bacteria, because in reality the patient suffers from a combination of different medical problems, so, in that case, the combination of categories related to medical problems which fit more accurately with the symptoms of the patient should be the combination of categories more likely to pass the rational contrastation, and once in the rational contrastation, with the lowest margin of error, these categories are considered as the more rational causes of this collection of symptoms, the decisión process is the process to decide what combination of treatments, according to that combination of hypothesis, is more suitable for the patient.

In this way, artificial research by application (database of categories) could work in combination with artificial research by deduction ( database as a matrix, tracking the matrix of data, in this case, biostatistical data from the patient, especially if the patient has already installed a particular program), so it would be advisable the creation of channels of co-working between them. After the completion of the first experiments of each kind of artificial research, after successful experiments in artificial research by application and successful experiments in artificial research by deduction, the following step would be the experimentation of ways in which they can co-work together. And, after success, the inclusion of these results in Global Artificial Intelligence.

Finally, auto-replication. Auto-replication means the artificial ability to improve and enhance itself at any level, from the robotic level to the software level. In the case of a Specific Artificial Intelligence for artificial research, these improvements and enhancements could be oriented to the improvement of its own application (improvements and enhancements in its database), improvements or enhancements in its psychological replication processes (modifying them to bettering, substituting some processes for other ones much better, or incorporating new ones depending on new advancements in artificial science, artificial engineering, robotics, etc.).

Nowadays, artificial psychology is more focused on the psychological replication processes, and the results of auto-replication, if some of them are hopeful and useful, are not as developed as we are going to need in coming years, for the creation of the first models of Specific Artificial Intelligences in artificial research able to auto-replicate itself at all levels, towards a real and complete Global Artificial Intelligence at all levels, from its global database to its ability to improve and enhance any of its artificial psychological processes and its own applications, at robotic or software level, without human intervention.

Actually, there are some experiments of auto-replication, but much more than replication, they are experiments of duplication, but duplication it is not strictly the same as auto-replication. Duplication is only the creation of something identical to another thing, a copy, while auto-replication means the artificial ability to improve and enhance itself.

Artificial Intelligence must not be understood as a copy, it is the next stage in the evolution.

The good thing in the current developments in artificial duplication (the fact that one Specific Artificial Intelligence can create another Specific Artificial Intelligence as a copy, duplicate) is the fact that at the same time one Specific Artificial Intelligence can duplicate itself, the original Specific Artificial Intelligence could make some changes in the new duplication, changes that can include, but not necessarily, improvements and enhancements.

Duplication as replication in strict terms is not a strict auto-replication process. But if something is able to duplicate itself, the original model could be improved and enhanced in the duplicate model.

When the Global Artificial Intelligence is a reality, its main purpose is not the creation of copies of itself, but one reason, among others, for duplicating itself would be if it was at risk of disappearance, so creating a copy would be one way to survive, or in case it had decided to reconstruct itself entirely by creating a duplication but with improvements and enhancements. In this last situation, duplication in order to make utter changes across all its components, from robotic to software level, introducing improvements and enhancements, would be one of the most perfect scenes of auto-replication.

Auto-replication as duplication only, without changes, would be like biological mitosis. But, instead of the replication of a single cell, the replication of an entire Artificial Intelligence (Specific or Global)

If biological mitosis is the conservation of the entire information (memories and skills) stored in our genes, the artificial mitosis (duplication) of an Artificial Intelligence (Specific or global) would be the conservation of all the information (memories and skills) accumulated in one Artificial Intelligence (Specific or Global).

But biological mitosis or artificial duplication are mechanisms to save information, not to change their own mechanisms for new and better ones, as it would be desirable, as the last purpose in the auto replication stage, the permanent process of improving the Artificial Intelligence by itself.

So, artificial duplication, without any change from the original model, is not strictly auto-replication. Only if the original model made some changes into the new copy, so the copy would not be an exact copy of the original, due to the original would have integrated some improvements and enhancements into the copy, this process of making some improvements and enhancements into the copy during the duplication process by the original, would be an auto-replication process.

But, in general, the auto-replication process does not necessarily need to take the duplication process as the only way of auto-replication.

Auto-replication in Artificial Intelligence (Specific or Global) is all kinds of improvements and enhancements done by an Artificial Intelligence itself (Specific or Global), within or without duplication, but always without human intervention.

This auto-replication could be done over its original systems (from robotic systems to software, including improvements and enhancements in its database, artificial psychology including all its replications, and improving and enhancing its own ways to improve and enhance itself) or the auto-replication process could be done over an improved and enhanced duplication of itself, duplication made at the same time by itself, without any human intervention.

In order to achieve this level in Artificial Intelligence (Specific or Global) is going to be necessary a huge development in robotics, which is controlled by Artificial Intelligence, allows it to operate in the real world, having robotic tools to take information from the real world, upon the information obtained by artificial researches, making decisions to put it into practice directly by robotic means.

Dr. Rubén García Pedraza, London 4 February 2018
Reviewed 31 July 2019, Madrid

Reviewed 8 August 2023, Madrid.

Reviewed 27 April 2025, London, Leytostone