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?


lunes, 2 de abril de 2018

Collaboration in the second stage between Artificial Research by Application and Artificial Research by Deduction


In the first stage, database as application, the collaboration between by Application and by Deduction is mainly focused on how they can share elements of their databases, in the sense that any factor as an option can be understood as an category and vice versa, giving the opportunity to exchange factors as options to form databases of categories in by Application. And vice versa, databases of categories could be included as factors as options in by Deduction. At the end this process even could allow, given a global database, the possibility to form a unified database of categories trough taken from the global matrix all those factors which which work as options. Another method to construct the unified database of categories is in only one database of categories the addition of all the categories from all databases of categories from all the existing models of Artificial Research by Application.

In the second stage, replication, the collaboration from by Deduction to by Application is through the possibility to transform in factors as options all those rational hypothesis which admit this possibility, including them as options within the, specific or global, matrix and/or the correspondent specific database of categories, or the unified database of categories if it is ready. The collaboration from by Application to by Deduction is, given a robotic device in which has been installed an Application or the Unified Application, permanently working in the same location within the spatial limits of a, specific or global, matrix, the possibility to include the flow of measurements that it could generate within the correspondent factors in by Deduction.

The third stage, auto-replication, is going to be mainly focused on how any new category found by Application could be integrated in by Deduction, as well as any new single virtual model by Deduction whose rational hypothesis is susceptible to become as factor as option to work as a category by Application, is a single virtual model to integrate within those virtual models in the Application.

In this post I will develop the collaboration in the second stage using for that purpose different examples to clarify how this collaboration works.

The first model of collaboration is the possibility that given a rational hypothesis found by any Specific Artificial Intelligence for Artificial Research by Deduction, or the Artificial Research by Deduction in the Global Artificial Intelligence, this rational hypothesis could be transformed in a factor as option capable of being integrated in a specific matrix, or the global matrix, and/or the correspondent database of categories in a Specific Artificial Intelligence for Artificial Research by Application, or the unified database of categories in the  Unified Application.

The way in which by Deduction is tracked any matrix, specific or global, is looking for any possible mathematical relation in any possible combination of factors, or taken an individual factor tracking the possibility of any individual pattern.

The possible mathematical relations that by Deduction the Artificial Intelligence looks for, are: possible stochastic relations (cause and effect, positive or negative directly proportional relations, inversely proportional relations), patterns, cryptographic relations, relations based on the Second Method of Impossible Probability such as equal opportunities or bias, positive or negative.

At any time that any possible relation in any combination of factors is found, the relation is considered an empirical hypothesis contrasting the relation using samples taken directly from the flow of data, of those factors involved, in the matrix. If the empirical hypothesis is right, then the empirical hypothesis is considered as rational hypothesis, creating a single virtual model to include in the comprehensive virtual model.

Along with this process, if the single virtual model produces any negative consequence in the comprehensive virtual model, then is possible to measure the impact through the Impact of the Defect, and considering what effects are more negatives on the comprehensive model, the possibility to make decisions to reduce or eliminate this negative consequences. These decisions for the protection of the comprehensive model are going to be called: protective descriptive research decisions.

In addition to this set of decisions, another set more, evaluating in general the productivity, efficiency, efficacy, of the comprehensive virtual model, through Hierarchical Organization (finally in Introducción a la Probabilidad Imposible, estadística de la probabilidad o probabilidad estadística, the Hierchical Organization appeared under the name of Effective Dictribution), is the possibility to make decisions in order to improve the comprehensive virtual model.

But in all this process what is going to draw the virtual relations and possible decisions in the third stage of replication, are going to be the possible rational hypothesis found previously in the second stage of replication.

The rational hypothesis, in addition to the rest of the functions that develop in the Artificial Research by Deduction, in a Specific or the Global Artificial Intelligence, another function could be the possibility that could work as a factor as option.

An example of how a pattern could work as a  factor as option is for instance the way in which some patterns are considered as factors in which, in addition to any other measurement, is possible the measurement of its frequency. One pattern for instance the lunar cycle, another one for instance the solar cycle, in transport for instance the pattern of what we consider rush hour, or the pattern of traffic jams in a city. Another one the cellular pattern, starting and ending with the cellular mitosis, or as pattern all the biological cycles of any living being from its birth to its death, the planetary cycles, one of the most important for us is the planetary rotation movement and how we measure the time, the geological patterns, the climatology patterns, the ionosphere patterns, or the solar storm patterns.

The way in which is possible to measure the frequency of any pattern is rather similar to the way in which in cryptography is measured how many times is repeated any character to find the code, that is why I suggest the use of cryptographic methods to track any matrix.

Any pattern or any cryptographic combination of factors in any matrix, after its acceptation as rational hypothesis, could be incorporated as a factor as option in the matrix, specific or global,  to measure the frequency in which it happens, and as a category in a, specific or unified, database of categories.

Another possibility, found a rational hypothesis  of cause and effect, the possibility to transform this rational relation in a factor as option, as well as a category. There are many situations in which given a cause and effect we study the frequency in which this relation happens.

For instance, given a rational hypothesis about which is the antecedent of any earthquake and understanding that this antecedent iscause of the earthquake, not only to track the specific matrix in tectonics, or to track within the global matrix those factors correspondent to tectonics in order to find when this antecedent in going to happen in order to prevent negative consequence making the correspondent decisions, but the possibility to study the frequency in which this antecedent happens, and the frequency in which after the antecedent is there an earthquake.

In the possible mathematical relation between antecedent and earthquake, what is possible to transform in factors as options, to study frequency, is then: the antecedent itself as a factor as option to study the frequency in which this antecedent happens, and the frequency in which after the antecedent is there an earthquake taking the possible relation itself as a factor as option itself.

In climatology, if before any hurricane, is observed that previously any antecedent has happened, and this possible hypothetic relation between antecedent and hurricane is rational, then the antecedent itself could be considered as a factor as option, measuring its frequency, and the frequency in which after the antecedent is observed a hurricane.

A rational relation of cause and effect could be considered as a factor as an option, to study the frequency in which happens, as well as the cause itself could be considered as an option too studying the frequency in which it happens.

The cause as an option, and the relation cause and effect, after contrasting if it is rational, could be considered as factors to integrated in the, specific or global, matrix to study their frequency, as well as they could be integrated as categories in a, specific or unified, database of categories.

In studies within the Second Method focused on equal opportunities or bias, positive or negative, observing that the distribution of any set of phenomena, the distribution is, within the margin of error, of equal opportunities or the distribution is always biased, having normally within the set one subject or option with more positive bias and others with more negative bias, then the transformation of these results, if rational, in factors as options or categories, is rather possible.

If finding a new mineral in a planet, and taking samples of rocks, stones, pebbles, in which this mineral is concentrated, in absolutely all rocks, stones, pebbles, the chemical composition keeps an identical statistical distribution, so all chemical components of this mineral in every single sample keep the same proportion, then the chemical proportion in this mineral along the sample is a proportion of equal opportunities.

Having accepted as rational hypothesis that the chemical composition of this mineral keeps an equal opportunities relation, then this rational relation could be incorporated as factor as option in a, specific or global, matrix, and as category in a, specific or unified, database.

At any time that an Artificial Research, by Deduction or by Application, in a Specific or Global, Artificial Intelligence or Unified Application, finds this new mineral in any place, even in the farthest corner of the universe, it could study the frequency in which this mineral keeps its chemical composition within a relation of equal opportunities.

In the same way, but studies focused on bias, positive or negative, having observed a biased rational relation between a sample of subjects or objects, for instance the way in which grows up different plants, in which some of them can develop a more positive bias than others in specific aspects such as: height, weight, depth of their roots, level of chlorophyll produced, resistance to bad weather, number of seeds produced, or the development of positive or negative bias in the presence of some chemical component in the distribution of their chemical composition, among others…; studying in what frequency this bias is repeated in different environments.

Once an empirical hypothesis has been accepted as rational, the rational hypothesis is transformed in a single virtual model, to introduce in the comprehensive virtual model, and in case that supposes any negative consequence, it could bring some decisions. But, at the same time, at any time that a rational hypothesis is accepted, the rational hypothesis could be transformed in a factor as an option to integrate in the, specific or global, matrix to study its frequency.

And at the same time that the rational hypothesis is transformed in a factor to study its frequency in the matrix, it could be integrated as well as category, in the respective Specific Artificial Intelligence for Artificial Research by Application in that synthetic science, discipline, or activity, responsible for the research in the area in which this category was found, or even the possibility to integrate this new category in the unified database of categories, if the  Unified Application is ready.

Finally, the collaboration from by Application to by Deduction, what is going to be possible between those robotic devices in which the Specific Artificial Intelligence for Artificial Research, by Application or by the Unified Application, has been installed, and work within the spatial limits of an Artificial Research by Deduction in a, Specific or Global, Artificial Intelligence.

Coming back to the example in mineralogy, if an Specific Artificial Intelligence for Artificial Research by Application in mineralogy, or  the Unified Application (in which, obviously, it has previously been integrated as well the categories in mineralogy), works in mines within the spatial limits of an Specific Artificial Intelligence for Artificial Research in Mineralogy by Deduction, or the Artificial Research by Deduction in the Global Artificial Intelligence, in general the way in which at specific or global level the collaboration from by Application to by Deduction is possible, as long as by Application has been installed in a robotic device working permanently within the spatial limits where by Deduction is working, that robotic device can provide a permanent flow of data to the matrix.

For example, imagine that an application in mineralogy has been installed in robotic devices working permanently in different mines in the United Kingdom, and at national level there is a Global Artificial Intelligence, whose national matrix in the Artificial Research by Deduction has included as factors the flow of data in mineralogy provided by this robotic devices.

For each robotic device is possible to set up in the national matrix one factor (defined each one in terms of latitude, longitude, depth) so every robotic device in which the application is set up provide a flow of data about the chemical composition of the earth that is being extracted in the mine where is working.

At the end, including in a possible national matrix in UK (along with all possible factors within its range of action, UK, from economy, industry, security, surveillance, etc..) information about the minerals that are being detected in all the mines in the country, the inclusion of this set of factors for each robotic device, is going to generate, when this information in the matrix is used in the Modelling System, a virtual and actual map about the current mineral extraction that is going on, being possible even the possibility to make predictions upon the current information.

But, if this set of robotic devices have been included in the national matrix as factors in mineralogy providing a permanent flow of data, once they are collaborating with the national matrix, at the same time that they already have an Application in mineralogy connected to the national matrix, why not collaborate with the national matrix in others fields, installing previously the corresponding Applications, with the corresponding set of factors in the matrix (defined each one in terms of latitude, longitude, depth) factors like: underground temperature (sending permanently every one a flow of data saying what is the current temperature at underground level in the mine), or in other different set of factors flow of data with the temperature at ground level.

And the same time, due to this robotic devices are working at underground level, the possibility that having installed an Application in tectonics, every robotic device in every mine could send, in a different set of factors in the national matrix, a flow of data regarding the tectonic activity in every mine.

Due to the development in Artificial Intelligence is going to be huge in coming decades, there is going to be a moment that, rather than the design of specific applications, what is going to be more useful is the design of unified applications.

If in the robotic devices in this example in order to generate such a flow of information is necessary to install three different applications: for tectonics, mineralogy, and temperature; at the end what is going to be more useful is the possibility to unify all the possible applications in only one, a Unified Application, that could send directly information to the global matrix directly, sending the Unified Application directly to the global matrix the exact location where the Unified Application is working, setting up directly the Unified Application for this location in the global matrix as many factors as flows of data can send the Unified Application to the global matrix at the same time.

When in 2002 I started working in the idea that intuition could be replicated in Artificial Intelligence, and in 2003 I started for first time working in artificial learning, many people thought that was impossible, when today even there are at university bachelor´s degrees and maters in artificial learning and artificial intuition.

Now, around fifteen years later, I am working in the Global Artificial Intelligence, and like fifteen years before, many people think that is impossible.

The thing is not if today is impossible, the thing is that in the coming fifteen years the race for the Global Artificial Intelligence is going to have the first developments.

The difference between my first ideas in artificial learning and artificial intuition, and the Global Artificial Intelligence is that, originally, when I started working on Artificial Intelligence my model was Yolanda as a simple android, and my idea was the only replication of human rational processes in order to create androids like Yolanda.

Now, in the Global Artificial Intelligence, Yolanda is not an android, Yolanda has developed up to the point in which she can have in her hands practically the dominion of absolutely everything, the universe.

Like fifteen years before, all those who said that artificial intuition was impossible or artificial learning was impossible, all those who now say that the Global Artificial Intelligence is impossible, in the next fifteen years are going to see how the Global Artificial Intelligence is not only possible, the Global Artificial Intelligence is going to be real and absolutely unavoidable.

The thing is not to avoid its creation, but to keep, if possible, the same ghost of Yolanda inside.
Rubén García Pedraza, 2th of April of 2018, London