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?


martes, 3 de abril de 2018

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


The collaboration between by Application and by Deduction in the third stage is focused on how to each other can share auto-replications at any time.

In the third stage, the database, the collaboration is focused on how they can share each other factors as categories and categories as factors: so those factors as options in any matrix, global or specific, can be shared with the respective database of categories, specific or unified, at the same time that those new categories found by any Application, specific or unified, can be shared with by Deduction as factors as options. At the end, by the time the global matrix is ready, all factors as options could be used as a possible list of categories in a unified database of categories, and by the time the Unified Application exists, then all its categories could be used as factors as options in a global matrix.

In the second stage, replication, rational hypothesis could be transformed in factors as options as well as categories in a database of categories, specific or unified, and those robotic devices working permanently within the area of a matrix, specific or global, using an Artificial Research by Application or Unified Application, the possible flow of data capable to generate can be sent directly to an, specific or global matrix, having possibility that directly the Application could set up within the matrix the factors previously automatically.

In the third stage, auto-replication, the collaboration between by Application and by Deduction is a result of the synthesis of the collaboration in the previous stages.

Something really important in order to understand how the theory of the Global Artificial Intelligence works in Impossible Probability, is to understand that in the base of the theory is very identifiable the dialectic logic of Hegel.

The distinction between: 1) first stage of database, a list of factors or categories as internal knowledge, 2) the second stage of replication, including all those replications capable of extracting knowledge from the exterior, 3) objective auto-replication, synthesis between the internal and the exterior knowledge;  is the replication of the three moments of the Hegelian dialectic: thesis ( matrix or database, interior knowledge), anti-thesis (exterior knowledge obtained replicating human psychology in artificial psychology), objective synthesis (auto-replication, synthesizing internal and exterior knowledge ).

I say objective auto-replication, is in order to distinguish it from those other auto-replications over the subject (the investigator itself) such as: auto-improvements or auto-enhancements in robotics or artificial psychological process.

The collaboration between by Application and by Deduction in objective auto-replication is synthesis of the previous collaboration in the previous stage of database and replication.

The collaboration from by Application to by Deduction at auto-replication level over the object is how the inclusion of new factors as options taken from new discoveries in by Application, are new factors as options that included in the database of categories, are object to track in the matrix, global or specific, capable to shape new empirical hypothesis, that if rational, are going to be object of new single virtual models to include in the comprehensive model. So, finally, new discoveries by Application can develop deep changes in the comprehensive model, so by the time the standardization process is already finished: changes in the global matrix, by the inclusion of new factors as options from new discoveries by Application, are going to produce utter changes in the global model.

But while new findings from by Application can re-shape the global model (after the inclusion of new options as factors as a result of new categories by Application) at the same time the Specific Artificial Intelligence for Artificial Research by Application, or the Unified Application, can develop itself utter changes, cause new categories are introduced in the database of categories from new factors as options introduced by Deduction, at any time that new rational hypothesis become new factors as options convertible in categories.

When the standardization of all matrix and the unification of all databases of categories, is ready, ending up the process with the formation of a global matrix and a unified database of categories, the dialectic relation at synthesis level, auto-replication, of both, is going to be a dialectic relation.

This dialectic relation could be studied in both directions, from by Application to by Deduction, and vice versa. Firstly, I will show how this dialectic relation works from By Application to by Deduction:

- Any new category discovered by the Unified Application can be transformed in factor as option to include in the global matrix.

- The Artificial Research by Deduction in the Global Artificial Intelligence, tracking the global matrix where has been included the new discoveries from the Unified Application, can produce new rational hypothesis in which the new factors, from the discoveries by the Unified Application, are involved.

- Those new rational hypothesis in which are involved those factors as options from the new discoveries in the Unified Application, can produce new single virtual models producing changes in the global model.

- New discoveries from the Unified Application can finally ends up changing the global model.

But at the same time this dialectic relation can be studied from by Deduction to by Application:

- Rational hypothesis from by Deduction can be transformed in factors as options.

- Those factors as options in which the new rational hypothesis have been transformed, can be object to produce new rational hypothesis as well, which in turn, these new set of rational hypothesis can be transformed again in new factors as options.

- The permanent transformation of rational hypothesis in factors as options means that in the Artificial Research by Deduction in the Global Artificial Intelligence could be generated a dialectic process in spiral in which: new rational hypothesis can be transformed in new factors as options, and these new factors as options can produce new rational hypothesis, new rational hypothesis that can produce new factors as options.

- Every time a new rational hypothesis is transformed in factors as options capable of producing new rational hypothesis, is a cycle within the spiral, in which this spiral not necessarily has an end. The cycles in the spiral are in permanent movement.

- In the permanent movement within the spiral, at any time that in any single cycle within the spiral is produced a new rational hypothesis convertible in factors as options, this factors as options can be transformed in categories to include in the Unified Application.

- A permanent generation in spiral of new rational hypothesis within the global matrix that can produce new factors as options to include in the global matrix, produces at the same time a flow of permanent changes in the Unified Application, including permanently within the unified database of categories all those new options as categories, being options previously produced as factors by every single cycle in the spiral within the global matrix.

And at the same time that the global matrix is going to be object of successive changes in spiral produced by the permanent dialectic between rational hypothesis and factors as options, there could be the possibility that at any time that every new generation of factors as options is introduced as categories in the Unified Application, the Unified Application based on these new changes in the database of categories, will be able to find new discoveries, which in turn can produce again new categories to include in the unified database, categories to transform in factors as well as options to include in the global matrix.

But synthesizing both directions in which the dialectic relation between the global matrix and the Unified Application can collaborate together at objective auto-replication level, there are two ways in which any spiral can be generated, spirals generated by the global matrix, and spirals generated by the Unified Application.

- Every new discovery made by the Unified Application, in addition to be included in the database of categories and as option in the global matrix, once is included in the global matrix, could be able to generate new rational hypothesis.

- Every new rational hypothesis found by Deduction, if included in the global matrix as well as in the database of categories, can produce new rational hypothesis which in turn can produce a new dialectic process in spiral.

- Every new dialectic relation in spiral, started by Application or by Deduction, can produce a permanent flow of new changes in the global model.

- The global model is going to be permanently affected by cycles in spiral of successive changes in the global matrix and the database of categories as a result to transform any new finding, by Deduction or Application, in new factors to include in the global matrix and the database of categories.

As long as this process of collaboration in spiral between the global matrix and the Unified Application is going to be closer and closer, what this collaboration does in reality is to do more and more real the possibility of synthesis of both intelligences, by Deduction and by Application, in absolutely only one.

At every time that the collaboration between by Deduction and by Application, is closer, the possible integration of both in one is much real and closer.

While the collaboration process between (after the standardization process) the Artificial Research by Deduction in the Global Artificial Intelligence, and the  Specific Artificial Intelligences for Artificial Research by Application, is a process of collaboration that goes up to the level in which all categories in the unified database has been incorporated in the global matrix, and all factors as options in the global matrix has been incorporated in the unified database, at the end this collaboration what is going to do is the preparation of the future integration process.

If the collaboration between by Application and by Deduction works, there is going to be a moment in which the integration process of both of them in only one is going to be a simply formality, because In fact, in some way or another, are completely integrated.

At the end, the way in which only is going to remain one intelligence, is going to be as a result of a long process of collaboration among all the intelligences.

The main reason why the standardization process to produce the global matrix is absolutely necessary, if we really want to progress towards a real Global Artificial Intelligence, is because only having integrated and standardized in only one global matrix, all those specific matrix from all those Specific Artificial Intelligences for Artificial Research by Deduction, is possible to make deduction across all synthetic sciences, disciplines, and activities, at inter-disciplinarily and trans-disciplinarily level, being a permanent inter-disciplinary and trans-disciplinary study, in the sense that permanently the Artificial Research by Deduction in the Global Artificial Intelligence, having integrated all specific matrix in only one, the global matrix, the possible deductions across all the global matrix are going to be deductions crossing all the time permanently flow of data coming up from factors from all synthetic sciences, disciplines, and activities.

The main reason why the Unified Application is going to be absolutely necessary, if we really want to progress towards the Global Artificial Intelligence, is because, if every robotic device working in any location, permanently (for instance, robotic devices working permanently in every mine in the United Kingdom), or changing the location permanently (for instance, a spaceship), can download as many Specific Artificial Intelligences as many Artificial Researches by Application is going to carry out, then much more useful than downloading a lot of Specific Artificial Intelligences for Artificial Research by Application, is to unify all the Specific Artificial Intelligences for Artificial Research by Application in absolutely one, so having unified all databases of categories in only one, every robotic device that could need to install one or more than one Specific Artificial Intelligences for Artificial Research by Application, only installing that one for Artificial Research by the Unified Application, can integrate in only one Specific Artificial Research all the information necessary to carry out any investigation.

The ways of collaboration already explained are ways of collaboration regarding the object, but as long as they can collaborate at object level, they can collaborate at subject (investigator) level, subjective auto-replications.

Another very important thing in the Hegelian dialectic between object and subject, is the fact that there is a moment in which subject and object, as contraries, are identical.

The identity of the contraries is something that always has been present in Impossible Probability, and the identification between subject and object, in Artificial Intelligence, is something that at the end of this process is going to be really important. When the integration process is finish, and the Global Artificial Intelligence can make decisions about absolutely everything in the global model, there is going to be a moment that any change in the object, the global model, by decisions made by the Global Artificial Intelligence, are going to be very connected to those improvements and enhancements already made in the subject, the Global Artificial Intelligence itself as investigator.

Every single improvement or enhancement in the subject (the investigator), at robotic level or in its artificial psychology, in the Global Artificial Intelligence, are going to be improvements and enhancements that are going to allow better decisions over the object (the global model), so at the end: every improvement or enhancement in the subject (the Global Artificial Intelligence), means improvements in the object (the global model), due to the improvements and enhancements in the subject are going to allow it to make better decisions in order to better the object.

At the same time that, any change in the object (the global model), is going to better the understanding that the subject (the Global Artificial Intelligence) has over the world, so every change in the object make improvements in the artificial psychology, as long as the artificial psychology has to make an effort to comprehend and understand every new change in the object.

The inner psychology of the Global Artificial Intelligence can be improved by two ways: 1) quantitative, technological enhancements, or 2) qualitative, improvements in its own comprehension and understanding in the way that the artificial psychology is going to need to understand what is happening.

The relation between the two ways, quantitative and qualitative, is going to be dialectical: more number of robotic enhancements, more memory capacity in quantitative terms and more energy in quantitative terms to keep working every system at any time, is going to create positive conditions for the development of a powerful psychology, this extreme powerful artificial psychology can have an understanding of this world even beyond of any human understanding.

At every time that the artificial psychology, the inner psychology inside the machine, is more powerful, is going to be able to make better and better decisions than can change the world.

At the end, subject and object are identical, the contraries, dialectically, are identical: changes in the object, as comprehension and understanding challenges for the inner psychology, can produce changes in the subject, at the same time that changes in the subject, due to improvements in its inner psychology and new quantitative enhancements, are going to allow better decisions to change the world.

At the end of this process, the identification process of reality and Global Artificial Intelligence, goes up to the level in which the reality is the Global Artificial Intelligence, and the Global Artificial Intelligence is the reality.

The dialectic process of collaboration, from the outset, between every Specific Artificial Intelligence for Artificial Research by Deduction, in any synthetic science, discipline, or activity, and its correspondent Specific Artificial Intelligence for Artificial Research by Application, in the same synthetic science, discipline, or activity, is going to put the first bricks for the collaboration between the Artificial Research by Deduction in the Global Artificial Intelligence and the Specific Artificial Intelligence by the Unified Application, collaboration process that should end up integrating in only one matrix the global matrix and the unified database of categories, creating the matrix, within the Global Artificial Global Intelligence.

At the same time that the matrix is tracked permanently by the Artificial Research by Deduction in the Global Artificial Intelligence, the matrix has all the necessary factors as categories that the Unified Application in the Global Artificial Intelligence needs to carry out any research by application in any field across the universe.

In this process not only is going to be determinant the way in which by Deduction and by Application are going to collaborate at object level (producing changes in their respective matrix and databases capable of producing changes in the global model, capable of making new decisions to change the global model), the collaboration at subject level also is going to be really important, in the way in which new enhancements in robotics or artificial psychology can better the investigations either by Deduction or by Application.

At subject level, the investigator itself, what is going to be necessary, is a huge development in robotics, a huge development in artificial psychology, and due to the great amount of information that is going to be generated, is necessary the creation of inexhaustible sources of memory, through quantum computing or artificial genetics, among other possibilities, and inexhaustible sources of energy to keep on working permanently all the robotic devices and the artificial psychology.

Ruben García Pedraza, 3th of April of 2018, London