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, 10 de febrero de 2018

The data base in the Artificial Research by Application


A data base is a collection of some information for some particular purpose or over some particular field, which in statistics every single category or option must be filled in quantitative terms, given an exact definition about what information we need to measure, and later on filling in the data base adding the result of measurements.

In Impossible Probability the measurement of any quality of a subject or option is the transformation of a qualitative property into a factor of mathematical operations, which can be converted into a positive data, for the description, inference, or prediction of the phenomena studied in synthetic sciences.

The definition of any data in quantitative terms is a warranty as well that is defined in a positive way. A data is positive when its acceptance is independent of any ideological or political difference between different schools or paradigms.

Once we have a general definition of data base through the theory of Impossible Probability, is time to give a definition of the data base in the Artificial Research by Application, that, generally speaking, would  be a collection of: information, taxonomies, classifications, files, categorizations, events, facts, phenomenon, characteristics of individuals and populations (physically, behavioural, psychologically), or any other thing, even any tool to use later; necessary in any artificial research processes made by the Artificial Research by Application, which through the information collected in its data base, is going to be able to automatized the formation of empirical hypothesis within the synthetic science or synthetic academic field for what it has been created, and able therefore to criticize rationally the empirical hypothesis in order to make further rational decisions.

If the application would find some category, event, phenomenon without a high percentage of similarity with those ones stored in the data base, this new one must be then integrated in the data base as a new one.

This process of inclusion of new categories, events, or phenomenon in data base, is an auto-replication process, due to without human intervention, the application itself could improve its components, one of them its own data base.

As first stage in the formation process of any Artificial Intelligence, Specific or global, for artificial research or any other purpose, is necessary a good definition of the concept of data base according to the purpose for what it is going to be designed.

In order to have a clear idea about what kind of data base is going to be necessary in Specific Artificial Intelligence for Artificial Research by Application, firstly is important to clarify what different models of data base are going to be developed taking the theory of Impossible Probability as a theoretical model, applied to Artificial Intelligence, Specific or Global. And among all possible data bases, the exact purpose of the data base in Specific Artificial Intelligence for Artificial Research by Application.

In Impossible Probability it is going necessary to distinguish, at least, among these models of data bases:

- Data base in Artificial Research by Application in a Specific Artificial Intelligence. In those Specific Artificial Intelligences for artificial research in synthetic sciences or synthetic academic fields where the artificial research is made by Artificial Research by Application, the data base should include all information, data, taxonomies, classifications, files, categorizations, events, facts, phenomenon, or characteristics of individuals or populations, or any other thing, even, tools if its necessary, that are going to be needed in the investigations with this technology. This is the model developed in this post.

- A unified data base of Artificial Research by Application. In the future after the completion of the integration process of all Specific Artificial Intelligence for Artificial Research by Application into a Global Artificial Intelligence. Once the creation of a Global Artificial Intelligence would have finished the completion of a global data base, in addition to this global data base it is going to be necessary the process of integration of the rest of specific data bases of the rest of Specific Artificial Intelligences for artificial research in synthetic sciences and synthetic academic fields, into the Global Artificial Intelligence. This integration process should have different stages, in the first one linking all Specific Artificial Intelligences for Artificial Research by Application, and after that, the integration of all of them into the Global Artificial Intelligence. Integration process which should finish with the integration of all these data bases in only one, a unified data base of Artificial Research by Application, upon it could work together all the Specific Artificial Intelligences for Artificial Research by Application from any synthetic science or synthetic academic field, working all together over only one unified data base for Artificial Research by Application. All Specific Artificial Intelligences for Artificial Research by Application, in any synthetic science or synthetic field, could match the measurements taken from real objects with the categories, events, phenomenon included in the unified data base, forming and contrasting hypothesis at the same time from the unified data base. And in case that a new category, event, phenomenon should be included, introducing improvements across the unified data base at the same time. One unified data base for all Specific Artificial Intelligence for Artificial Research by Application, whose hypothesis and decisions could automatically be integrated in the Global Artificial Intelligence.

- The data base of a Specific Artificial Intelligence for Artificial Research by Deduction in any synthetic science or synthetic academic field. In this case the data base is going to be a matrix, where each Specific Artificial Intelligence for Artificial Research by Deduction of each synthetic science or academic field must have its own matrix. The matrix should be formed by the definition of every factor, subject, option, category or any key point relevant for the research, that later on, in the second stage, the replication stage, is going to be measured constantly, receiving a flow of continuous measurements at any time. So, in the second stage, replication, this Specific Artificial Intelligence for Artificial Research by Deduction would fill directly the matrix with the flow of measurements related to every factor, subject, option, category, etc. storing all the information in the memory. And upon the measurements, by statistic methods, the automatic identification of high levels of correlations, probabilities of cause and effect, stochastic relations, which could be formulated automatically as hypothesis, that later could be criticized rationally.

- The data base of the Global Artificial Intelligence for Artificial Research by Deduction. A gigantic global data base, a global matrix, firstly perhaps over a nation as an experiment that later could be extended over a whole continent, the entire planet, finishing with the inclusion of information that could come from the whole universe. Every single piece of information that should be included, previously must be defined in very exact and quantitative terms, allowing the necessary measurements constantly all the time, getting a flow of measurements at any time, stored continually in the memory, which, by statistics methods, and studying the evolution of the flow, the Global Artificial Intelligence could find high levels of correlations among factors, subjects, options, categories, or probable causes and effects, and stochastic relations. Upon the results, the formation of empirical hypothesis contrasted later by the critical reason, in order to make further rational decisions.

Among all of these models of data base that are going to be developed under the Artificial Intelligence theory in Impossible Probability, the data base that is going to be developed in this post is the first one: data base in Artificial Research by Application in a Specific Artificial Intelligence.

In other posts I had set out some examples about Artificial Research by Application in Specific Artificial Intelligence for medical problems or astronomy. In this one I will expose some others for different purpose, focusing the explanation in the way in which the data base in this model of artificial research could work

The first example is applied to mineralogy, the second one to the physic of particles.

The first example would be a model of Specific Artificial Intelligence for Artificial Research by Application in mineralogy. Firstly, the data base would be an exact and full taxonomy of all kind of minerals, rocks, pebbles, and every single kind of minerals, rocks, pebbles, would be a category described in quantitative terms: from its possible chemical composition, resistance, hardness, to a definition of the colour in quantitative terms, or any possible other item that could be a help in the artificial identification of any rock, mineral, pebble, from the reality, the synthetic world.

The description of every mineral, rock, or pebble, in the data base would be a category. Any mineral, rock, pebble, found in the synthetic world, the reality, would be a real object.

In the second stage of the Artificial Research by Application, the replication of the research skills necessary for a scientific investigation, given the measurements of any real object, in this case mineral, rock, pebble collected from the real world, the Specific Artificial Intelligence could compare the measurements taken from the real object with the quantitative descriptions of every category in the data base.

As a result of this comparison, the Artificial Research by Application should give a list of categories with the highest percentage of similarity between its quantitative descriptions and the measurements from the real object, categories as empirical hypothesis about the very nature of the real object taken from the reality. Empirical Hypothesis that, if after rational criticism are true, become rational hypothesis, forming part, at the same time universally and provisionally, of the rational truth.

In case that the real object found in the reality, the synthetic world, does not match with any category in data base, the hypothesis must be formulated under the idea that this object belongs to a new category that must be included into the data base. This automatic improvement in data base in the Specific Artificial Intelligence for Artificial Research in mineralogy must be considered as an auto-replication, improving by itself its own data base. One way, among others, of auto-replication, what that means auto-improvement, and in much more developed models of auto-enhancement.

In this first example of data base in a Specific Artificial Intelligence for Artificial Research by Application in mineralogy, the data base would be a collection of categories (in this specific example, each category from the data base corresponds to each kind of mineral, rock, pebble, taken from the mineral taxonomy), and, upon the measurements of a real object, the comparison of the empirical measurements from the real object and the quantitative description of every category included in the data base: that or those category or categories with the highest percentage of similarity between its quantitative description with the quantitative measurements from the real object, is the category or are the categories taken as empirical hypothesis about the very nature of the real object.

Using the same data base, within the same application for Artificial Research by Application, the same Specific Artificial Intelligence could work in thousands of locations at the same time.

Thousands of robotic devices specialised in mineralogy, linked all together to the same Specific Artificial Intelligence, with the same Artificial Research by Application in mineralogy, using the same data base: in thousands of locations around the Earth, or in space exploration on board of artificial satellites or spaceships, robotic devices specialised in mineralogy working in thousands of planets, satellites, asteroids, or comets, or any other celestial body; could allow us to have a deep knowledge about this specific science beyond the Earth and beyond our human limits, and what is really important, reducing constantly the margin of errors through decisions more and more rationals.

This Specific Artificial Intelligence specialised in mineralogy through Artificial Research by Application, could make thousands of thousands of hypothesis at the same time, making thousands of thousands of rational contrasts of hypothesis, using thousands and thousands of robotic devices taking measurements and preparing samples for further rational contrasts and rational decisions, wherever we would like to know the mineral structure of geological formations across the Earth or the entire universe.

And, at any time that any robotic device finds any real object that does not match with anything in the data base, it could then be possible the automatic inclusion of new discoveries in the data base, after rational contrast. New discoveries available automatically for any other robotic device.

This would mean that thousands of thousands of auto-replications through improvements in data base adding new categories would be able to be possible at the same time. Under this supposition, the data base could be replicated every minute, or every second. The increment of knowledge in synthetic sciences and synthetic academic fields thanks to the automation of scientific research, would give us a very powerful tool in order to have an incredible knowledge in a very high speed.

The second example of data base under such a Specific Artificial Intelligence for Artificial Research by Application, is its possible application to the particle physics.

The first stage of such a Specific Artificial Intelligence would be the creation of a data base including a list of categories in quantitative terms for each kind of particle. Secondly, the replication process of all research skills for the formation and rational contrastation of empirical hypothesis: measuring any property of the real object, in this case the measurement of the properties of any particle, and studying the similarities between empirical measurements from real particles and the quantitative description of every category. Those categories with high level of similarity between them and a particle or group of particles, can be formulated as possible empirical hypothesis about the nature of a particle or group or particles. Once the hypothesis is formulated, over a sample of particles according to the hypothesis, the hypothesis is rationally contrasted, and if it is true, within a rational margin of error, is rationally accepted.

In case that the particle found would have not matched with any category in the data base, under the hypothesis that this kind of particle Is a new one, automatically, the artificial research should proceed to the collection of a sample of particles like this one in order to contrast, within a margin of error, that it is a new kind of particle not included yet in the data base, so this new one should be included as a new category in the data base, describing the new category according to the measurements taken from this new kind of particle as quantitative terms of description. The auto-replication of the data base could be done automatically, something really important if thousands of robotic devices in thousands of laboratories and accelerators of particles across the world, or even astrophysics telescopes, would be working with the same data base, in the same application of Artificial Research by Application, in the same Specific Artificial Intelligence.

The way in which the data base would work is the same as the first example in mineralogy, given a list of categories in quantitative terms as a data base, the replication of rational processes should allow the Artificial Research by Application the possibility that, after the measurement of the properties of a real object, the contrast between the measurements and the categories, and that or those categories with high similarity could be formulated as possible hypothesis in order to contrast them. In case that after the measurements the new object does not match with any category, the inclusion of the new object as a new category considering the measurements as the quantitative description of this new category. Inclusion that should be done after further constrastations with samples or particles like this one that could ensure that is a new kind of category, and not a mistake during the measurement process.

It is very important every time that some new real object does not match with any category in the data base to discard that this has not happened as a result in a mistake in the measurement process, or for any other reason, such as robotic problems or mechanical problems in the robotic device which has taken the measurements. If gathering samples of real objects like the new one, all of them reveal the same characteristics, within the less margin of error, only, automatically the new category should be included in the data base according to the general quantitative properties common to all of them.

Through the same Specific Artificial Intelligence for Artificial Research by Application in any synthetic science or synthetic academic field, could work thousands of thousands of robotics devices at the same time. So at the same time it would be possible that the same Specific Artificial Intelligence for Artificial Research by Application could do as many researches simultaneously as robotic devices could work with the same Specific Artificial Intelligence for Artificial Research in any synthetic science or synthetic academic field. What that means that thousands of thousands of hypothesis could be formulated and rationally contrasted at the same time, making thousands of thousands of further rational decisions at same time, at the very same time that every minute, or every second, or even in a inferior period of time, the data base in a Specific Artificial Intelligence for Artificial Research by Application in a synthetic science or synthetic academic field could be auto-replicated  by itself through improvements in the data base, including new categories based on new real objects found that would have not matched with the current ones.

The importance of the data base in Artificial Research by Application is the fact that the same value that the previous bibliographical revision has in any human investigation in order to know what kind of advancements have been made in the field where the investigation is going to be done, in Artificial Research by Application all this previous work is made directly by the data base. Due to all new discoveries would be included automatically in the data base, and after inclusion, they are completely ready and available for any other robotic device working with the same Specific Artificial Intelligence for Artificial Research by Application in the same synthetic science or synthetic academic field.

If all discoveries in any synthetic science or synthetic academic field are completely available and ready to be use for other robotic devices, or any human scientists, or even human scientists could share their new discoveries directly into the data base, followings investigations in the same synthetic field or synthetic academic field, would be easier to do, due to all the new advancements and discoveries would be completely ready and available automatically, through an automatic system of auto-replication that could improve, or even enhance, the data base, every minute, or even every second.

The data base in any specific synthetic science or synthetic academic field could be renewed constantly including continually, without pause, new discoveries and advancements. The automation of all sciences, starting first with the synthetic sciences, could bring a permanent and automatic scientific revolution.



 Rubén García Pedraza, London 10th of February of 2018