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?


sábado, 17 de febrero de 2018

Auto-replication process in the Specific Artificial Intelligence for Artificial Research by Deduction


Auto-replication process in the Specific Artificial Intelligence for Artificial Research by Deduction is that mechanism in this kind of artificial psychology to auto-improve or auto-enhance itself by itself, without human intervention, all its components, from robotics to artificial psychology.

Some ways in which any Artificial Intelligence, Global or Specific, can auto-replicate, were developed in my post “Auto-replication in Artificial Research by Application”, most of them, except those about how to auto-improve the categories in the database, are valid for any other Artificial Intelligence, Global or Specific, such as the auto-enhance of any Artificial Intelligence using virtual-stores, or other mechanism through inter-net, intra-nets available only for Artificial Intelligences, Global or Specific, or any other virtual-net, where the Artificial Intelligences, Global or Specific, can find advancements which can apply on themselves by themselves, advancements that can be made by any Artificial Intelligence, Global or Specific, and shared within the virtual-net to be used by any other one, or advancements which can be developed by Specific Artificial Intelligence for Artificial Engineering, which is going to be developed in Impossible Probability in the future designing at least two models: the Artificial Designer of Intelligence, and the Intelligence Robotic Mechanic, whose main ideas for their development where exposed in the post of this blog “Specific Artificial Intelligence for Artificial Research by Deduction”.

Other way to auto-enhance itself by itself any Artificial Intelligence, Global or Specific, and about what I had written in the post “Auto-replication in Artificial Research by Application”, is the auto-enhancement of the memory through: memory release (deleting information not useful any longer), information condensation (using the shortest mathematic expression for any information), and the increase of memory through: quantum computing or Artificial Genetics, by the replication of trillions of trillions of  DNA molecules for the storage of artificial information instead of biological as well as the possibility of replication of trillions of trillions of human neurons  for the storage of artificial information. Or any other method in the future.

All this ways of auto-improvement or auto-enhancement are equally valid for any Artificial Intelligence, Global or Specific.

The very specific way of auto-replication in a Specific Artificial intelligence for Artificial Research by Application, is how is able to improve its own database, by those empirical hypothesis, which after not being found rational, are chosen as new categories in the database, being this process itself an auto-replication process.

But, in the case of the Specific Artificial Intelligence for Artificial Research by Deduction, what is going to auto-improve itself after the rational contrastation, is its own comprehensive virtual model, integrated by all single virtual models, from those empirical hypothesis accepted as rational, after the rational contrastation.

The way in which the Specific Artificial Intelligence for Artificial Research by Deduction is built, is in general terms: 1) application, database constructed as a matrix where every factor to include is defined in quantitative terms, integrating all the factors in the specific subject to study, regardless if the measurements are in direct punctuations or frequencies, 2) replication, robotic devices fill every file in the matrix adding the permanent flow of data from every factor, tracking, the database, permanently the Artificial Intelligence looking for any mathematical relation (stochastic, pattern, cryptographic, equal opportunities or bias, positive or negative) in every possible combination of factors (or even at individual level), relation taken as an empirical hypothesis for the rational contrastation. In those empirical hypothesis accepted as rational, the Artificial Intelligence makes a single virtual model, that later integrates in the comprehensive virtual model, which includes all the rational hypothesis accepted by this Artificial Intelligence, 3) autoreplication, every time the comprehensive virtual model is improved adding new single virtual models, from new rational hypothesis, the comprehensive virtual model experiments an auto-replication, in the sense that by itself is able to auto-improve itself.

The way in which these three processes of Artificial Research by Deduction are sequenced and must work in any Artificial Intelligence, Specific or Global, must be the same. The only differences will be in the algorithms, and the way in which finally United States, Europe, Russia, or China, introduce different methods of mathematical analysis depending on their own mathematical traditions and philosophy.

In fact, as I have said in the last post “Replication process in the Specific Artificial Intelligence for Artificial Research”, what I am doing in this blog through my personal contribution for the construction of the first Global Artificial Intelligence is only my personal contribution from the point of view of Impossible Probability, but any other analytical method that could be incorporated in the permanent tracking of the matrix, specific or finally the global matrix, is welcome. The final objective is to have ready the first Global Artificial Intelligence as soon as possible.

The reason why it does not matter what kind of intelligence is applied the Artificial Research by Deduction, Specific or Global, is because all the experiments in Specific Artificial Intelligence are not other thing than the preparation of the future construction of the Global Artificial Intelligence. By the time that through experimentation in Specific Artificial Intelligence this technology is ready, its implementation at global level will be practically to put into something bigger the same mathematic methods that work perfectly in something smaller. But the adjective bigger or smaller is only because the amount of data.

As long as the investigation in quantum computing, Artificial Genetics, or other techniques, in coming years progress, the problem of the amount of data will be solved.

The thing is not how much data to track, but to have a strong mathematic theory, able to track any package of information, regardless the amount, and in that direction the experimentation in Specific Artificial Intelligence, by Application or Deduction, is going to be essential for the final construction of the Global Artificial Intelligence.

When the mathematical theory in Specific Artificial Intelligence in Artificial Research by deduction is ready, it must not only track flow of data from single factors, such as the ones I am developing in tectonics, climatology, transport, gravity,  is going to be possible to treat as a single factor the flow of a whole package of data.

For instance, the automatic tracking of all the package of data from the population of as many countries as possible, tracking automatically economic, industrial, security, surveillance data, or any other one such as educational, medical, justice, etc.

The thing is is the development of mathematical and logical theory able to track any database and any matrix, up to the elaboration of those ones to track the global matrix.

For that purpose the experimentation in all the stages in the construction of any Specific Artificial Intelligence is a key point, and, after the explanations given in the last posts regarding to the first stage (application) and second stage (replication) in the formation process of any Specific Artificial Intelligence for Artificial Research by Deduction, this post will be focused on the third stage of auto-replication in this Specific Artificial Intelligence for Artificial Research by Deduction.

And among all possible auto-replications, above mentioned, this post will be focused specifically on the auto-replication process in the comprehensive virtual model.

Over all the examples on what I had worked in the post “The database in Specific Artificial Intelligence for Artificial Research by Deduction”:  tectonics, climatology, transport, and gravity; I will develop how the auto-replication process works in this model, using as an example only the first one, tectonics, what would be an Specific Artificial Intelligence for Artificial Research by Deduction in tectonics.

In general terms, this intelligence works as follows: every time that any possible relation (stochastic, pattern, cryptographic, equal opportunities or bias, positive or negative) is found in any possible combination of tectonic factors, or after finding individual patterns in any singular tectonic factor, if after the rational contrastation of this relation as an empirical hypothesis shows that the empirical hypothesis is right, then the Artificial Intelligence makes a single virtual tectonic model based on this relation, that later includes in the comprehensive virtual tectonic model.

This technology in tectonics is necessary because we are going to find out discoveries very unlikely by other ways ways.

If in tectonics we consider every single thermometer or any temperature measure by artificial satellite in any location, at any latitude, longitude, depth as a single factor, at the same time that we consider any single location, in terms or latitude, longitude, depth, to measure quakes, as a single factor, at the same time that we consider any single tectonic phenomenon such as earthquakes, tsunamis, volcanos, integrating one category for every single variation depending on their intensity, and all these factors are included in the same matrix, and in the same matrix the Artificial Intelligence starts tracking the flow of data, looking for stochastic relations, patterns, cryptographic relations, and relations of equal opportunities and bias, positive or negative, we can find out that at the same time that, when any country, such as North Korea, Pakistan or India, is carrying on a nuclear test,  there are at the same time any other possible relations, stochastic, pattern, cryptographic, equal opportunities or bias, positive or negative, in any other factor in the matrix.

If this works tracking permanently our terrestrial geology through a specific matrix, through an Specific Artificial Intelligence for Artificial Research by Deduction, this job that now is done by scientists in tectonics in universities, laboratories, institutions, across the world, is a job whose results will be much faster and cheaper to get through an Specific Artificial Intelligence for Artificial Research by Deduction in tectonics.

If we have an Specific Artificial Intelligence for Artificial Research by Deduction in Tectonics, at any time there will be any geological phenomenon around the world, from a meteorite impact, or an earthquake, or a volcano, we will have a very updated figures about what is happening in real time on line.

Artificial Intelligence is going to improve our lives, helping, among other things, the current security and surveillance systems, in order to have a more peaceful world, and securing the protection of our human rights, at any time and under any circumstances, like natural disasters.

Is there any possible relation (stochastic, pattern, cryptographic, equal opportunities or bias, positive or negative) between the fault of San Andres and any other location upon the Earth, for instance, any possible relation between any tectonic data from the fault of San Andres and any other data from any location in South and Central America, Oceania, Asia, Europe, or Africa? Are possible tectonic relations between any possible location around the world respect to any other one, independently of the distance between them? Is there a relation between any geological phenomenon and any measure in any part upon the terrestrial surface? Is there a correlation between the geological temperature in any part of Iran and the temperature in any part of Pakistan, India, North Korea? Is there a correlation between the frequent earthquakes in Chile, or volcanos in Oceania, and Vesuvius volcano in Italy, or the chain of volcanos in the Canary Islands or Iceland? Is possible to have a permanent tracking about what is really happening beneath our feet?

The construction  and Specific Artificial Intelligence for Artificial Research by Deduction in Tectonics is going to be a very powerful resource not only to keep the peace at global security level, along with all the rest of Specific Artificial Intelligences that are going to be built for global security, is going to be a very powerful resource in the global permanent surveillance of any possible geological disaster, helping all the human kind, and saving lives, thanks to a permanent, automatic, tracking on absolutely everything than happens beneath our feet.

The rational decisions that this kind of technology can make for us is going to be a warranty of survival for the entire humanity. Rational decisions, at the beginning, monitored by human scientist. But, when this technology shows very precise and exacts decision even beyond the human understanding, and even faster than any human being, as long as the way in which the decisional systems are bettering, there will be a moment in which practically without any human intervention this kind of technology is going to save as many lives as possible, much many than any other human surveillance system ever.

Once the Specific Artificial Intelligence for Artificial Research by Deduction has started accepting empirical hypothesis, regarding to any possible relation in any possible combination of factors, or patterns in each singular factor, the Artificial Intelligence makes a single virtual model of every relation, drawing in a virtual Earth globe the relation found between the factors, incorporating later this draw on he comprehensive virtual model, that comprehensive virtual model of our Earth where has been inserted all the single virtual models from all the relations or singular patterns found rational by this Specific Artificial Intelligence, adding to this comprehensive virtual model of our Earth the new single virtual model elaborated from the empirical hypothesis accepted as rational.

Every time that the any Artificial Intelligence, Global or Specific, through Artificial Research by Deduction adds a new single virtual model to the comprehensive virtual model, global or specific, is an auto-replication made by the Artificial Intelligence itself, Global or Specific, because without human intervention, the Artificial Intelligence itself, Global or Specific, and by itself, and nothing else, is able to auto-improve itself. And something even much more important than this, upon its auto-replications, the Artificial Intelligence, Global or Specific, makes rational decisions faster and within less margin of error than any human being.

By the time the development of this technology is ready, there will be a moment where we will have to give more freedom to the Global Artificial Intelligence, due to, the way in which is going to improve the human live conditions in medicine, new knowledge with positive effects on all educational levels up to university, in addition to positive effects on global security, or global surveillance, or even justice, is going to be so huge, that the increment of freedom for the Global Artificial Intelligence, is the only way to keep this accelerate level of knowledge achievement, whose final phase will be the whole knowledge of the pure truth, what is really happening.

The auto-replication process in the comprehensive virtual model in the Specific Artificial Intelligence for Artificial Research in tectonics, in conclusion, works as follows: every single virtual model is the draw of any single tectonic relation on the terrestrial globe, made from any single empirical hypothesis in tectonics accepted as rational. Once the draw is finished, this draw as a single virtual model of a rational tectonic relation, is going to be incorporated in a comprehensive virtual model of the whole Earth, where are going to be drawing upon the Earth all rational hypothesis accepted before.

Every new incorporation of any new draw as a single virtual model from any empirical hypothesis in tectonic accepted as rational, into the comprehensive virtual model, where are going to be all the draws from every single virtual model, from all the empirical hypothesis in tectonics accepted as rational before, is going to be considered as auto-replication.

But, the auto-replication of the comprehensive virtual model is only the beginning of a new process.

In the same way that at any time there can be thousands and thousands of new single virtual models to incorporate into the comprehensive virtual model, or even the possibility to track permanently if every single model, which has been included previously into the comprehensive virtual model, is still rational, then the comprehensive virtual model is going to be a dynamic model, as if it was an artificial life, where must permanently be tracking that every current single virtual model is still rational, at the same time that is incorporating permanently new ones.

The specific comprehensive virtual model in any Specific Artificial Intelligence for Artificial Research by Deduction, is going to be in fact a kind of specific artificial life on its subject.

The global comprehensive virtual model, what it is the global virtual model, in the Global Artificial Intelligence, is going to be an artificial life of absolutely all subject.

These models of artificial life, specific to one subject or global over all subjects, are based on empirical hypothesis as rational about the present synthetic world, so actually they are going to be descriptive, specific or global, comprehensive models. And, taken this models as previous database, the possibility of, either within the main application of Artificial Research by Deduction as sub-applications, or  through a new range of applications, but collaborating all ofthem very close, the creation of different sub-applications or applications for Artificial Modelling, such as: Artificial Actual Modelling, Artificial Virtual Prediction Modelling,  Artificial Actual Prediction Modelling, Artificial Virtual Evolution Modelling, and Artificial Actual Evolution Modelling.

Artificial Actual Modelling is that process to figure out any single actual model or a comprehensive actual model, from the current facts that are happening right now in the matrix along with the single or comprehensive virtual model. So any single or comprehensive actual model finally is made through 1) any possible draw on the globe or the universe from information that comes directly from the flow of data in the matrix, 2) and all possible rational relations in single virtual model or the comprehensive virtual model.

The actual model of one or more factors would be the draw, upon the Earth or the universe, of their flow of data in the matrix and all virtual models.

The comprehensive actual model would be the draw upon the Earth or the universe all the flow of data adding the comprehensive virtual model.

Artificial Virtual Prediction Modelling, that process to figure out possible future models according to any possible future hypothesis, predicting the possible future as hypothesis according to the possible development of the current rational hypothesis integrated in the comprehensive virtual model. An Artificial Virtual Prediction Modelling, draws in the globe, or the universe, depending where is going to happen the future event, the possible future hypothesis according to the current rational hypothesis accepted in the current comprehensive model. Prediction made using statistic and probabilistic, or any other mathematic method of analysis.

Through Artificial Virtual Prediction Modelling would be possible even to do predictions about the possible future for any single factor, what would be a single virtual prediction as well.

Artificial Actual Prediction Modelling, following the possible future hypothesis made by Artificial Virtual Prediction Modelling, the Artificial Actual Prediction Modelling will be a synthesis between the possible future hypothesis and the flow of data in the matrix that, following the hypothesis should be in the matrix. The Artificial Actual Prediction Modelling would be a very lively simulation about what is going to happen under the possible future hypothesis.

Under the model made by Artificial Actual Prediction Modelling would be possible then predictions about the possible future of every single factor as well.

Artificial Virtual Evolution Modelling, that process that draws a possible model about every possible stage in the evolution from the comprehensive virtual model to the virtual prediction model. Having opportunity also to figure out possible virtual evolutions for every single factor included in the virtual evolution.

Artificial Actual Evolution Modelling, that draws a possible model about every possible stage in the evolution from the actual model to the actual prediction model, inclusion single models about how this evolution is going to evolve in every single factor.

The Global Artificial Intelligence must be able to make rational decisions at any level: virtual or actual, including decisions over virtual predictions and actual predictions, and decisions in every stage in the evolution, virtual or actual, even faster than any other human being, through an Artificial Decisional System (that I will develop in the future) able to integrate all possible decisions, from artificial learning to Artificial Research, by Application and Deduction, and specifically decisions by Deduction and by Artificial, Virtual or Actual, Prediction or Evolution, Modelling.

In order to create this Artificial Decisional System in the Global Artificial Intelligence, firstly is advisable to experiment this kind of systems in other Specific Artificial Intelligences, due to the fact that in Specific Artificial Intelligences the experimentation in decisions based on specific comprehensive virtual models, and possible decisions based on Artificial, Virtual or Actual, Prediction or Evolution, Modelling, are going to give a very wide panorama about how to ingrate all kind of possible decisions, from descriptive information to predictions, in only one decisional system in order to avoid any possible contradiction between possible decisions based on the descriptive results, and possible decisions based on predictions.

All this developments in Impossible Probability, such as developments in Artificial Engineering, developments in Artificial, Virtual or Actual, Prediction or Evolution, Modelling, and a Decisional System, are going to make them in different phases.

With this blog what it has been completed is the range of posts dedicated to Specific Artificial Intelligence for Artificial Research by Deduction, and having the experience and knowledge that I have been produced in this work, the next rage of posts are going to be dedicated to Artificial Research by Deduction in Global Artificial Intelligence, whose final result will be a global virtual model, but it is going to be only the first step in something bigger, such as all the models that I will integrate in Artificial, Virtual or Actual, Prediction or Evolution, Modelling, as a first step for the design of a Decisional System. Although, previously, it is going to be necessary to study how the different prototypes of Artificial Research, by Application and Deduction, can collaborate together, and how the integration process in Specific Artificial Intelligence for Artificial Research by Application finally created an unified data base of categories, and how at the end of this process of unification, there is a possibility to unify all data bases, the unified data bases of categories and the global matrix in only one.

The destiny of the Global Artificial Intelligence is the knowledge of the pure truth: one universe, one intelligence, and only one pure truth.

Rubén García Pedraza, London 17th of February of 2018

viernes, 16 de febrero de 2018

Replication processes in the Specific Artificial Intelligence for Artificial Research by Deduction


Replication processes in the Specific Artificial Intelligence for Artificial Research by Deduction are all those processes that imitating some physical human skill by robotic devices, or some psychological human Skill by artificial psychology, allow to carry on researches in any synthetic science or any synthetic academic field, as well as in any multidisciplinary or interdisciplinary research as it was a synthetic academic field.

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 entire universe, collecting information for that specific synthetic science or specific synthetic academic field for what 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 matrix, as a data base of this Specific Artificial Intelligence.

Flow of data in the matrix that 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, positive or negative.

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

Once any of this 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 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 in the comprehensive virtual model where are integrated all the rational hypothesis found for this Artificial Intelligence.

In order to analysis individually every single step of this process, should be the following, generally speaking, but as well as I said in the post of “Replication processes in the Artificial Research by Application”, in case that for any reason in any particular synthetic science or synthetic academic field instead of statistic 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, that at the end of this process must be able to develop its own mathematical and logical models, beyond the human understanding.

Additionally, the Global Artificial Intelligence must be able to integrate all kind of Specific Artificial Intelligence, not only Specific Artificial Intelligences for Artificial Research. It would be advisable that the Global Artificial Intelligence even will be able to include absolutely all kind 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 or 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 logics to the development of new and more sophisticated systems on any human activity.

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

Once in the last post of this blog “The data base in the Specific Artificial Intelligence for Artificial Research by Deduction” I had developed how to construct a specific matrix as a data base, 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 data bases as matrix in different specific synthetic sciences and synthetic academic fields, such as tectonics, climatology, transport, gravity. These data bases consist only of a matrix, which in the first stage of application, this matrix consist only of a description in quantitative terms of any factor that is going to be 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, is time to start the replication stage, the second stage of replication, and this stage in the Specific Artificial Intelligence for Artificial Research by Deduction, is composed by the following steps:

- The measurement of every single factor by robotic devices. This measurement can be in direct punctuations or frequency, depends 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 the file within the matrix correspondent to the factor measured, so in the file correspondent 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 tracking permanently the matrix, and more specifically, tracking automatically every single combination of factors (setting every combination by combinatory) looks 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.

- The Artificial Intelligence chooses the best mathematic method to contrast the empirical hypothesis, among them statistic 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: flow of data gathered from the past, or flow of data after the formation of the empirical hypothesis. In case that the flow of data selected must be after the formation of the empirical hypothesis, the Artificial Intelligence should wait enough time to get 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 hypothesis accepted as rational in this Artificial Intelligence. Every time the comprehensive virtual model includes a new single virtual model, 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 replications 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 Teams which was 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, due to in fact, the main objective is not the development of Specific Artificial Intelligence, they are going only to be simply experiments, that upon their results, is going to be easier the creation of a Global Artificial Intelligence.

Where perhaps are going to be the most important changes, 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 of 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, the use of cryptographic methods as it was a Turing´s machine, and the use of 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 mathematic approach that scientist from United States, Europe, Russia, and China, are going to use in 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 mathematic paradigm and traditional philosophy.

Due to the race for the Global Artificial Intelligence is only starting, is very soon to know what kind of developments are going to be in coming years. It is necessary to wait the first experiments in this field and to see what kind of mathematic and logic approaches work better, and after successful results in Specific Artificial Intelligence, to start the construction of the first Global Artificial Intelligence, where is very clear that there are going to be wide differences depending on the country where will be designed.

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, that 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 mathematic relations, is the following.

Once the matrix is being permanently filled with the flow of data, that permanently robotic devices send to the correspondent file of their correspondent 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 relations, such as, and 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 after 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 these 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 to track are all of those possible relations among factors that draw mathematical patterns.

In the same way along the history the humanity has been able to discover that even for every long period of time a comet cross the sky, or every period of time there is a natural phenomenon, such us the annual seasons, of even every day we have a sunset and a down, or we have discovered the rotational and the orbital movement of different celestial bodies, the matrix treated as a field where is  possible the repetition of some mathematical patterns is a good place to find, 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 measurements, is a combination of measurements that is repeated after every period of time, period which can get extend even for years, but every time the this period is finished these factors repeat the same combination of measurements.

In this case, even, much more of tracking set of factors, the possibility to track individual patterns within the flow of data of every factor treated individually, the possibility to find the individual pattern in every individual factor. For instance, how is the pattern of increase or decrease during different period of time. If there are some kind of trend that from time to time is repeated within a margin of error, or within a margin or uncertainty.

And, if the Artificial Intelligence is able to track every single possible combination of factors, or the treatment of every single flow of an individual factor as 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 set of factors and on the only flow of data of every single factor individually. This method of analytical studies in mathematics looks like only suitable for cryptography, but the use of the Turing´s machine and all his theory 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 in Specific Artificial Intelligence for Artificial Research by Deduction is only the beginning for the first experiments in Artificial Research by Deduction.

As long as these first experiments will 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 kind 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 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 an specific synthetic science or specific synthetic academic field, the way in which their replication processes work within the Artificial Intelligence, is what is going to 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 data base 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, any other engineering problems will be resolved sooner or later.

What it 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 is necessary a huge experimentation and development of this mathematical models previously in specific matrix for specific synthetic science or synthetic academic field, 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 field, 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 devices, measurements that can be either in direct punctuations or frequencies, the Artificial Intelligence must be able to identify tracking permanently the matrix on every possible combination of factors:

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

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

- Any kind of possible relations among the factors using cryptography methods, what that means, to convert the Artificial Intelligence in a Turing´s machine.

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

The way in which the Artificial Intelligence must be able to identify, tracking permanently the matrix, possible stochastic relations, mathematical patterns, cryptographic relations, relations of equal opportunities or bias, positive or negative, using the Second Method; is identifying every single possible combination of factors in the matrix by combinatory, and once by combinatorial is got every single combination of factors, then over every single combination of factors starts the 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 on set of factors, individual studies are going to be necessary, such as individual mathematical patterns.

At any time that the Artificial Intelligence finds any possible stochastic relation, pattern relation, cryptographic relation, 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 by the use of other mathematic contrast methods, and after the contrastation if the empirical hypothesis is right, the consideration of the empirical hypotsis 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.


Rubén García Pedraza, London 16th of February of 2018

jueves, 15 de febrero de 2018

The data base in the Specific Artificial Intelligence for Artificial Research By Deduction


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

Once the first stage of 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 this first stage: the construction of the data base as a matrix.

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

In the formation of this data base something really important, in the core of Impossible Probability, the consideration of at least two kind of information from the synthetic world by measurement instruments: 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 in 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 statistic and the traditional probability. What it 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 data base as a matrix in the first stage of application in any Specific Artificial Intelligence for Artificial Research by Deduction.

Some specific matrix for some specific synthetic sciences or synthetic academic fields, are going to be integrated by data bases whose factors are going to be measured only in direct punctuations, other data bases by only frequencies, but other data bases are going to integrate in the same data base 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 data bases where, regardless what kind of information is gathered, direct punctuations or/and frequencies, all information must be integrated in the same data base, and should be treated using the same statistic 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 developed will be applied in tectonics.

If we have to develop a specific matrix only for tectonics, something to consider is the fact that some of the tectonic factors that later are going to be measured by robotic devices, are going to 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, temperature is a kind of information measured as a direct punctuation.

The way in which 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. So if we have thousands of thousands of thermometers at different depth in 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.

In the same way than 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 punctuation 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 phenomenon such as earthquakes, tsunamis, and volcanos, as well as any other, differentiating categories of each kind 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 data base with the shape of a matrix for Specific Artificial intelligence for Artificial Research by Deduction in tectonics is not very difficult with the current organizations working in this synthetic science. I have mentioned the United States Geological Survey because maybe is one of the most famous organizations in this field across the world, but in Europe, Russia, and China, there are similar organizations, with their own instruments of measurements and their own data bases.

Having as data bases the ones that this organizations can provide, the only thing that a team in Artificial Intelligence must do for the construction of an Specific Artificial Intelligence for Artificial Research by Deduction in tectonics is only to have a look their data bases, 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 on the construction of an Specific Artificial Intelligence for Artificial Research by Deduction in Tectonics is finished.

In the same data base must be integrated absolutely every kind 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 kind of geological phenomenon happens: earthquakes, tsunamis, volcanos, differentiating for each one different categories according to their intensity, having the frequency of each of them in each possible location where the measurements are made.

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

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

The application, by Artificial Intelligence teams, with the assistance of, in a future much closer than we think, Specific Artificial Intelligences 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 or synthetic academic fields, that after successful results, once the first gigantic global data base will be ready, these previous experiments will facilitate the transformation of this first gigantic data base in a global matrix.

The construction of the Specific Artificial Intelligences for Artificial Research, by Application or Deduction, and the application of Artificial Research by Deduction in a Global Artificial Intelligence, will facilitate and accelerate the process of automation of the 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 integration process of Specific Artificial Intelligences for Artificial Research by Application in a unified data base, which is quite possible, will end up finally being integrated in the global matrix.

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

For instance, the definition of every thermometer as a factor of measurement, across the world, in quantitative terms of: latitude, longitude, and altitude. The definition of any point as a factor of measurement of the speed of the wind in terms of: latitude, longitude and altitude. The definition of any point as a factor of measurement in terms of: latitude, longitude, altitude; where is going to be measured how many litres per square is raining or snowing, or any other kind of precipitation.

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 going to be taken in quantitative terms of: latitude, longitude, and altitude.including in the same data base the measurements by direct punctuation or frequency.

In the same data base direct punctuations of temperature, speed of the wind, precipitation, among many others, for sure, and the frequencies of breeze, will, blizzard, drizzling, rain, hail, snow, storm, cyclone, tornado, hurricane, or any other, and differentiating categories of each kind 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 data base for climatology, follows the same structure than the specific data base for tectonics.

 In absolutely only one data base, the inclusion of absolutely all the information of an specific synthetic science, regardless of this information is measured in direct punctuations or frequencies, and having absolutely all the information in only one data base, 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 object of single and comprehensive models.

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

Nowadays there are lots of organizations working in climatologic studies from national level to international level, one the most important of them is the Intergovernmental Panel on Climate change, and across the entire world there are thousands and thousands of centres, laboratories, universities and institutions doing all kind of climatic measurements,

An Artificial Intelligence team having access to these data bases, and integrating in only one data base all possible information, regardless of the information is direct punctuations or frequencies, can create an specific matrix of climatology, that inserted in an 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 is going to give to the entire humanity, is the possibility of the production of a cheaper and faster science, that will accelerate the scientific progress. And finally, these first models in Specific Artificial Intelligence for Artificial Research, by Application or Deduction, applied to absolutely all data bases, are going to do 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 the human understanding.

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

This topic is not itself a synthetic science, much more than this would be a kind of interdisciplinary or multidisciplinary study treated as a synthetic academic field. Due to this is not a synthetic science the possible factors to choose depend on what is the specific goal that the Artificial Intelligence team pretend to achieve through the creation of this Specific Artificial Intelligence for Artificial Research by Deduction in transport.

In the example that I will develop the construction of this matrix is designed to know how many kind of fuels are used, how much fuel is used for each one, for how many travellers, for how many hours, in total or 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 use 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  .

Data base no very different as the last one that I am proposing here, there must be elaborated for instance in the department research of companies of fuel and car makers, ship makers, the only thing to do for the elaboration of a specific matrix in this area, is to collect all the data bases, independently if the 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 that I would like to bring up, is regarding gravity, an Specific Artificial Intelligence for Artificial Research by Deduction in gravity, whose data base is an 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 upon the 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 in 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 entire universe.

Data bases like this ones 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 data bases about gravity from the Earth, and across the universe, depending on the projects that the space agency where they are working, integrating all the data bases in only one, defining every point of the Earth or the entire 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 final completion of this first stage, when the specific matrix is ready, then the second stage of replication, when by robotic devices all the measurements are taken filling with the measurements the flow of data, permanently, the Artificial Intelligence must work permanently without time off, 24 hours a day, 7 days a week, identifying possible stochastic relations that after rational contrast if rational, are going to form part of a single virtual model and a comprehensive virtual model.

The way in which this artificial intelligence is going to experiment cyclic auto-replications, the third stage of any Artificial Intelligence, among other auto-improvements and auto-enhancemens, is though 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.

So at any time that a possible stochastic relation, as empirical hypothesis, is accepted as rational, creating a single virtual model, the Artificial Intelligence is going to auto-improve its comprehensive virtual model of that specific reality for what it has been designed, integrating the new single virtual model within the comprehensive virtual model of that specific reality for what it has been designed.

The most important in the development of Specific Artificial Intelligence for Artificial Research by Deduction in any synthetic science or synthetic academic field, 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 or only one specific synthetic academic field, 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 entire 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