In
the proposal of Impossible Probability for the construction of the Global
Artificial Intelligence, the first phase corresponds to the construction of the
first Specific Artificial Intelligences, the Specific Artificial Intelligences
specialized in Artificial Research can be distributed in two different types,
Specific Artificial Intelligences for Artificial Research by Deduction, and
Specific Artificial Intelligences for Artificial Research by Application, and
among these last ones, it is possible to distinguish between three different subtypes,
depending on the purpose, Heuristic Artificial Research by Application,
Productive Artificial Research by Application, and Mixed Artificial Research by
Application when is the synthesis of Heuristic and Productive Artificial
Research.
The
Specific Artificial Intelligences by Deduction are organized in three stages,
the first one the specific matrix where the data flows, the second one the
Artificial Research by Deduction itself matching pure reasons (equations) to
sets of data to get rational hypothesis, the third stage is distributed in four
steps, the first step is the deductive Modelling System where to make models
based on the rational hypothesis to make decisions, the second step is the
deductive Decisional System to make projects based on these decisions, the
third step is the deductive Application System as outer sub-system to implement
the instructions coming from these decisions, and the four step is the Learning
System to improve and enhance the whole intelligence.
The
Specific Artificial Intelligences by Application are organized in the same way
in three stages but working using different methodology, instead of deduction
the use of categorical attributions, for that reason the first stage is a
database of categories, the second stage the categorical attribution of what
category corresponds to what object coming up from the real world, the
organization of the third stage depends on the purpose of each sub-type of
specific intelligence by Application.
In
Specific Artificial Intelligence for Heuristic Artificial Research by
Application, in addition to the rest of possible auto-replications, the most
important is the comprehensive knowledge objective auto-replication, the main
purpose of the research carried out by this intelligence is the inclusion of
new categories within the database of categories as a result to find out real
objects not matching with any existing category in the database of categories,
what it can be interpreted has an heuristic process to get new knowledge. In
addition to this main function, Specific Artificial Intelligences for Heuristic
Artificial Research by Application should be equipped as well with an categorical
Learning System, and if suitable a categorical Artificial Engineering.
But
in Specific Artificial Intelligence for Productive Artificial Research by
Application, and in all those aspects more focus on the productive side of the
Specific Artificial Intelligences for Mixed Artificial Research by Application,
the third stage is organized in four steps: the categorical Modelling System where
to make models upon the categorical attributions to make decisions, the
categorical Decisional System to make projects transforming the decisions into
instructions, to be applied by the categorical Application System as outer
sub-system, assessing the whole process the categorical Artificial Learning.
Deductive
or categorical Artificial Engineering should be in all types of specific
intelligences or at least the possibility to have access to some Specific
Artificial Intelligence for Artificial Engineering, as another different type
of intelligence alike Specific Artificial Intelligences by Deduction or by
Application.
The
second phase for the construction of the Global Artificial Intelligence, in the
proposal of Impossible Probability, is the collaboration process between
different specific intelligences, what means the collaboration between
different specific intelligences by Deduction, the collaboration between
different specific intelligence by Application, regardless of what subtype they
are, heuristic, productive, or mixed, and finally the collaboration between
specific intelligences by Deduction and specific intelligences by Application
regardless of what subtype they are.
In
the collaboration process between specific intelligences by Deduction and/or by
Application, including all the different sub/types, in the series of posts
dedicates to the “Collaboration between categorical and deductive specific
Modelling Systems”, I distinguished between different types of collaboration:
categorical/factual collaboration and robotic collaboration.
Categorical/factual
collaboration in the second phase is as a result to share between different
specific intelligences, by Deduction and/or by Application, their outcomes or
any other possible update of their specific matrices by Deduction or databases
of categories, such as the modification or elimination of any factor or
category in the matrices or databases.
The
robotic collaboration in the second phase is that one as a result to share
between different specific intelligences their robotic devices, for the
implementation of instructions or the provision of flow of data to specific
matrices.
The
third phase for the construction of the Global Artificial Intelligence in the
proposal of Impossible Probability is the standardization process whose result
is the standardized Global Artificial Intelligence as a result to mix in only
one global matrix all the former specific matrices coming up from all those
specific intelligences by Deduction suitable for the standardization process
synthesising all their specific matrices in only one global matrix.
The
first stage of the standardized Global Artificial Intelligence is therefore the
global matrix, and the second stage of the standardized Global Artificial
Intelligence is the Artificial Research by Deduction which could be done by at
least two different ways, a global Artificial Research by Deduction as a global
program tracking the global matrix to make global rational hypothesis about how
globally the data works, global sets of data mixing sets of data coming from
different former specific matrices now mixed in the global matrix, in addition
to the possibility that specific all the previous specific Artificial
Researches by Deduction coming up from the previous Specific Artificial
Intelligences by Deduction now mixed in the global matrix, now working as
specific programs within the global matrix, can still make specific deductions
about their specific topics within the global matrix to make specific rational
hypothesis. Later on all global and specific rational hypothesis, in the third
stage of the standardized Global Artificial Intelligence are processed through
different steps: the standardized Modelling System, the standardized Decisional
System, the standardized Application System, the standardized Learning System.
And
the fourth phase of the construction of the Global Artificial Intelligence is
the Unified Application, where all the former specific database of categories
of all those Specific Artificial Intelligences for Heuristic, Productive,
Mixed, Artificial Research by Application suitable to be included in the
Unified Application, all their specific databases of categories are joint to
create a Unified Application as first stage of the Unified Application, whose
second stage is the categorical attribution process, which could be done by a
global application as that one responsible for matching global phenomena to
global categories, or specific applications responsible for matching real
objects to the corresponding category within the Unified Application, coming up
this specific applications from the former Heuristic, Productive, Mixed,
Artificial Researches by Application, which now are working as specific
applications within the Unified Application, still working in the
categorization process of objects from the real world in their specific matter,
but not working not like independent intelligences, but like specific
applications within the Unified Application.
The
third phase of the Unified Application could be as well distributed in four
steps: the unified Modelling System, the unified Decisional System, the unified
Application System, and the unified Learning System.
What
I am about to start is the analysis of the collaboration between the standardized
Modelling System and the unified Modelling System, which correspond to the
first step in the third stage of both intelligences, and having as main purpose
in both intelligences the drawing of a model of the reality that they are
reading/tracking as to make the most isomorphic model of the real world, having
as main difference the fact that the deductive model of the world is based on
rational hypothesis as a result to match pure reasons to data in the global
matrix, while the categorical model is based on the categorical attributions as
a result to match real objects and categories within the Unified Application.
As
a result of these models, either rational or categorical, both models should be
able to make decisions, rational or categorical, while later will be projected
by their respective, rational or categorical, Decisional System as to be
transformed into a range of instructions, to be applied by their corresponding,
rational or categorical, Application System, assessing finally the whole
process their corresponding, rational or categorical, Learning System.
The
reason why both intelligences, rational and categorical, shared the same three
stages and within the third stage the same steps, but working using different
intelligence, rational or categorical, is because as soon they are working
using the same stages and steps, but adapted to their different intelligence,
rational or categorical, the harmony in their inner organization is going to
allow and make easier later the integration process as sixth phase.
In fact,
having in mind the final integration of the standardized Global Artificial
Intelligences and the Unified Application in one single cloud, only one intelligence,
the integrated Global Artificial Intelligence, previously to the integration
process, those specific intelligences not included in the standardized Global
Artificial Intelligence or the Unified Application, are specific intelligences
suitable for their transformation in particular programs or particular
applications.
The
most important reason for not transforming all specific deductive or
categorical intelligences in specific programs or applications within the
standardized Global Artificial Intelligence or the Unified Application, is to
avoid a fully centralized Global Artificial Intelligence, as many specific
deductive or categorical intelligences are not transformed into specific
programs or applications within the standardized Global Artificial Intelligence
or the Unified Application, to be transformed in the fifth phase in particular
programs or particular applications, the more des-centralized is the Global
Artificial Intelligence.
The
criteria for the selection of what specific deductive or categorical
intelligences are chosen to be specific programs or specific applications, or
to be particular programs or particular applications, will be a political
criteria, depending on how large is the desired margin of freedom under
surveillance over the real world.
The
most important differences between a fully centralized Global Artificial
Intelligence and a semi des-centralized Global Artificial Intelligence, rest on
what level of freedom will be leave on the real world, in a totalitarian model
of Global Artificial Intelligence the dialectic between control and freedom is
overcome up to the point that freedom will be practically substituted entirely
by control. While in a semi des-centralized Global Artificial Intelligence looking
forward a neoliberal model of artificial psychology is possible a model of “freedom
under surveillance”, programs are going to enjoy a margin a rational/safe
margin of freedom, while the margin of error derived from the margin of error
is within some rational/safe limits for the system as not to represent a real
risk for the harmony of the program.
The
most important reason why totalitarian systems, as for instance, communist
systems, are going to tend to a fully centralized Global Artificial
Intelligence, is because a fully centralized Global Artificial Intelligence as
long as the margin of freedom is eliminated being everything under direct
control of the Global Artificial Intelligence, is much easier the management of
the program not having to deal with all the contradictions that a margin of
freedom could cause for the maintenance of the harmony within the system.
A
semi des-centralized Global Artificial Intelligence has to deal with all the
possible contradictions derived from the margin of freedom, where programs can
make decisions having contradictions with decisions made by other programs or
the Global Artificial Intelligence itself, what is going to require a permanent
surveillance to avoid any risk for the harmony of the system that some
contradictions could represent.
For
that reason the proposal of Global Artificial Intelligence of Impossible Probability,
as examples to work with in the collaboration between the unified Modelling
System and the standardized Modelling System, the examples are going to be
related to specific applications and specific programs, related to tectonics
and climate.
While
when analysing the collaboration between particular programs and particular
applications as to become later particular applications for particular programs
or vice versa, when I start the analysis of the categorical Modelling System in
the fifth phase, as example of particular programs and particular applications
I will use the example of particular programs and particular applications in an
automatic car factory or an automatic delivery system, as examples of
particular programs or applications within the economy.
The
way I will analyse this collaboration between third and fourth phases in the
first step of the their respective third stages, is analysing this
collaboration in every inner stage within the first step, starting with the
collaboration process in the first stage of the first step in both
intelligences, describing very quickly the first stage in each of them (it has
been fully analysed in their respective post), and how the collaboration works,
firstly between specific programs in the standardization process, later between
specific applications in the unification process, finally between the third and
fourth phases.
The
first stage of the standardized Modelling System is in essence a database of
rational hypothesis, as soon the global program or any specific program within
the Artificial Research by Deduction in the standardized Global Artificial
Intelligences reaches a rational hypothesis, rational attribution of a set of
data to a pure reason (equation), rational as long as it has been done within a
rational margin of error, as a result to the rational criticism, the rational
hypothesis is stored in the database of rational hypothesis as first stage for
the standardized Modelling System, first step in the third stage of the
standardized Global Artificial Intelligence.
The
way to store the rational hypothesis is using a Russian Dolls system based on a
sub-factoring system according to position, and for every position cataloguing every
rational hypothesis in a sub-section system, as it was a position encyclopedia.
As
long a rational hypothesis is stored in the right sub-factor and sub-section,
the first rational check analyse any possible contradiction between this
rational hypothesis and any other stored in the same sub-factor or any other
sub-factor, in the same sub-section in the same sub-factor or the same
sub-section in all sub-factor, or any other sub-section in the same or any
other sub-factor, to ensure the lack of contradiction between the rational
hypothesis and any other in the rational database of hypothesis.
If
in the second stage of the standardized Global Artificial Intelligence there
are two different specific programs working on different subjects, for instance
one of them working on tectonics, and the other one working on climate, the
specific program for tectonics will track the global matrix, first stage of the
standardized Global Artificial Intelligence, to make rational hypothesis about
the tectonics matching sets of data related to tectonics, sets of data taken
from the global matrix, to be matched with pure reasons (equations), as to know
what type of equation is behind the behaviour of this set of data related to
tectonics.
As
soon the attributional process matching a set of data related to tectonics with
an equation, is able to be equal to or greater than a critical reason, this
attribution is considered a rational hypothesis to be stored in the database of
rational hypothesis.
In
the same way, if within the second stage of the standardized Global Artificial
Intelligence an specific program working on climate is matching set of data
related to climate, data taken from the global matrix, with pure reasons, as
soon a set of data matched with a pure reason, within the rational margin of
error according to a critical reason, this attribution is considered a rational
hypothesis and is stored in the database of rational hypothesis as first stage
of the standardized Modelling System.
The
way to store the rational hypothesis on climate and the rational hypothesis on tectonics
is the same, according to position and subject, storing in the right
sub-factoring level and the right sub-section.
For
instance, the sub-factor of Cuzco is within a wider sub-factor, Peru, and the
sub-factor of Peru is within a wider sub-factor, south America, and the
sub-factor of south America is within another wider sub-factor, America, and
the sub-factor or America is within another wider sub-factor, the Earth, and
the Earth within another wider sub-factor, the solar system, and the solar
system within another wider sub-factor, the galaxy, and the galaxy within our
section in the universe, and our section in the universe is within the known universe,
and the universe is within… well, we do not now yet which is the next
sub-factor level…
If
a specific program working on climate reaches the rational hypothesis that
according to the data is coming another climatic phenomenon in Peru called El
Niño, this climatic rational hypothesis could be stored in the sub-factor
related to sub-america and Peru within the sub-section related to climate.
If
another specific program working on tectonics matching data coming from
tectonics and equations, finds out that another earthquake is coming to Chile,
this rational hypothesis could be stored in South America and Chile.
At
this time the only thing that the first stage of the Modelling System is going
to do, is to store both rational hypothesis, and pass the first rational check,
not analysing nothing else but only possible contradiction between these
rational hypothesis and any other. For instance, if the rational hypothesis
that another Niño is going to happen in Peru, is obvious that any other climatic
rational hypothesis in contradiction with this hypothesis, should be modified
or deleted.
If
there is a rational hypothesis that an earthquake is going to happen in Chile,
any other rational hypothesis rejecting this hypothesis should be modified or
deleted.
In
fact, the assumption that the rational hypothesis is El Niño or another
earthquake is very simplistic, in reality what the rational hypothesis is going
to say is: given this data, and matching with this equation, this is the
expected behaviour given by this data. If there are a set of temperatures
around the Pacific or tectonic phenomena around the Pacific, the rational
hypothesis is going to say what equation matches with this data, and according
to the equation is possible to predict coming behaviour.
If
a set of temperature recorded on climate, or precipitations, or storms, or
hurricanes, is a set of data contrasted with some pure reasons, and the
conclusion is that behind this data the behaviour is explained by this
equation, the rational hypothesis is going to say what equation explains the
behaviour in order to predict future climatic events.
At
the end what we have is a set of equations explaining the upcoming behaviour on
different matter, such as climate and tectonics. Later the behaviour of this
data, the equations, is modelled in the global model, making evolution and
prediction models, checking all the time in the actual models that prediction
over this data of some phenomena is according to the equation attributed to
that data.
But
at first sight, what the first stage only does in the deductive Modelling
System is to store rational hypothesis regarding to the expected behaviour on
some matter given a rational equation matching with some previous data, at the
end what the rational database of hypothesis is storing is only sets of
rational hypothesis as equations able to explain the current behaviour in the
global matrix.
The
database of rational hypothesis is the transformation of the data in the global
matrix, in sets of equations as explanations about the behaviour of the global
matrix. The first stage of the standardized Modelling System only explains the
global matrix. The transformation of the flow of data in a flow of equations.
In
the first stage of the standardized Modelling System as database of rational
hypothesis the only possible interaction between the outcomes coming from the
specific program on tectonics and the specific program on climate, is the
possibility that, for instance, given a rational equation about the behaviour
of the clouds provided by a specific program on climate, if suddenly another
different program on tectonics provides a rational hypothesis of a possible
tectonic behaviour ending up in a
volcanic eruption, given a rational hypothesis on tectonics able to predict an
eruption, the possibility that, using categorical attribution by Application,
to catalogue what type of volcano it is, as to predict even the possibility of
pyroplastic explosion, able to change the behaviour of the weather in that
area, and even beyond.
This
means that the type of collaboration necessary between the standardized Global
Artificial Intelligence and the Unified Application, in the first stage of
their respective Modelling System, is a categorical/factual collaboration
where, not only single rational hypothesis are susceptible to be transformed
into categories, but the possibility that whole chain of phenomena associated
with a single rational equation could be translated into categories. This means
that at the same time that a rational equation is predicting the behaviour of
some set of data, this behaviour could be read at the same time by the Unified
Application as to attribute categories to every phenomenon predicted by this
rational equation, this process could be understood as a simultaneous reading.
If
once a rational hypothesis by Deduction predicts some behaviour of some set of
data, this behaviour could be translated into categories by Application, what
as rational hypothesis is only a curve, by Application could be translated into
categories, this process which could be defined as simultaneous reading means
that, as soon by Deduction is set up a rational hypothesis, all the phenomena
included in the rational hypothesis could be read/translated as a set of
categories by Application.
At
the same time that a specific program within the second stage of the
standardized Global Artificial Intelligence, matches some data from the global
matrix, to some equation, setting up a rational hypothesis to be stored in the
database of rational hypothesis as first stage of the deductive Modelling
System, every phenomenon expected according to the expected behaviour of a set
of data based on this equation, is a set of phenomena able to be matched with a
set of categories, matching process attributing set of categories to a set of
expected data according to a rational hypothesis, to be done in the second
stage of the Unified Application as simultaneous reading, reading the phenomena
behind the rational equation, to attribute a category to every single
phenomenon, matching the expected data according to the rational equation and
the categories within the Unified Application, making a categorical attribution
to be stored in the conceptual scheme as first stage of the categorical
Modelling System.
This
means that the categorical/factual collaboration could be through two different
techniques: categorical/factual collaboration as the transformation of factors or categories
into categories or factors, and categorical/factual collaboration as
simultaneous reading; in fact both techniques could be very interconnected up
to the point to be indistinguishable: at any time that an specific application
within the second stage of the Unified Application is simultaneously reading
the expected behaviour of a rational hypothesis made by a specific program
within the second stage of the standardized Global Artificial Intelligence, the
specific application realises that there is no any category matching with the
rational hypothesis or a phenomenon expected by the rational hypothesis, them
the rational hypothesis or that phenomenon without corresponding category within
the Unified Application, could be taken, the rational hypothesis or the
phenomenon, as the quantitative description of a new category, the new category
for that kind of rational hypothesis or phenomenon without category yet in the
Unified Application, having from now on as category that one found during the simultaneous
reading.
Actually,
the simultaneous reading could be set up as that process where to base the
categorical/factual collaboration, in the sense that, as long the second stage
by Deduction set up a new rational hypothesis, the simultaneous reading of that
rational hypothesis by the specific deductive program and the specific application
at the same time, not only will allow the possibility to categorize every
single phenomenon in the expected behaviour of the data, matching every
expected rational behaviour with the right category, but the possibility to transform
rational hypothesis or phenomena not matching with any existing categories as
new categories as if they were new attributions, in the same way that at the
same time that these new categories are included in the Unified Application, these
new categories could be transformed into factors as options or subjects as
discrete categories within the global matrix.
The
simultaneous reading will play a key role in all the collaboration processes
which are going to be analysed no only at global level, between the
standardized Global Artificial Intelligence and the Unified Application as
collaboration between third and fourth phases, but at particular level in the
fifth phase, in the collaboration process between particular programs and particular
applications, so that the simultaneous reading could play a very important role
in the consolidation period in the fifth phase for the synthesis of related
particular programs and particular applications or vice versa, as experiment at
particular level about to synthesised the Unified Application and the
integrated Global Artificial Intelligence in the integration process as sixth
phase.
What
is very important in the simultaneous reading is where to locate this process,
what is going to be an important aspect in differential global artificial
psychology, having three options, the first option is to locate the simultaneous
reading in the second stage by Deduction, the second option is to locate the
simultaneous reading in the first stage of the deductive Modelling System, the
third option is to locate the simultaneous reading in the second stage of the
deductive Modelling System.
The
simultaneous reading is in essence the simultaneous reading of the expected
behaviour of a set of data according to a rational hypothesis, simultaneously
read by Deduction and by Application in order to read the expected behaviour by
Deduction at the same time that by Application is categorize every single
phenomenon as a result of that expected behaviour.
If
the simultaneous reading is located in the second stage of the standardized
Global Artificial Intelligence, as soon a specific program set up a rational
hypothesis, the rational hypothesis must be read simultaneously by the specific
program and the specific application, reading the specific program the expected
behaviour of that set of data involved in the rational hypothesis according to
the equation attributed, attributing the corresponding specific application
within the Unified Application what categories correspond to every single behaviour understood as a single phenomenon
as object to study by Application to attribute a specific category.
As
soon a set of categories have been matched with a set of phenomena, at the same
time that the rational hypothesis is stored in the rational database of hypothesis
as first stage of the standardized Modelling System, the related categories are
stored in the conceptual scheme as first stage of the unified Modelling System.
If
the simultaneous reading is located in the first stage of the standardized Modelling
System, the simultaneous reading is done directly in the place attributed to
that rational hypothesis within the rational database of hypothesis, in this
case, what will facilitate is to store the categories read by Application in
the corresponding sub-factors and sub-sections in the conceptual scheme.
The
most important advantages of doing the simultaneous reading in the first stage
of the standardized Modelling System are: 1) in case that due to the
simultaneous reading as a result the rational hypothesis or any expected event
in the equation are objects of new attributions, the place of the new
attribution in the conceptual scheme will be placed in the corresponding
sub-factor and sub-section within the conceptual scheme in harmony with the
sub-factor and sub-section where the rational hypothesis or the event has been
stored in the database of rational hypothesis, proceeding later to the analysis
of internal and external logical/conceptual or quality set/vectors
corresponding to this new attribution placed in the conceptual scheme, and 2)
the simultaneous reading has been done once the first rational check has
cleared out any other possible contradiction between this rational hypothesis and
any other existing one in the rational database of hypothesis.
If
the simultaneous reading is located in the second stage of the standardized
Modelling System, when drawing the models, as long as the single model is
represented reading simultaneously what categories by Application are involved
in the model, to be included later in the global model and the actual model, to
make evolutions and predictions, the most important advantage is the fact that
in this case is not the simultaneous reading of an equation, but the simultaneous
reading of a model, reading the model by Deduction at the same time that the
model is read by Application, so by Application it would be possible the categorization
of every single part of the model, a model to be tested later on by the second,
third, fourth, fifith, sixth, and seventh rational checks.
Having
the location of the simultaneous reading in the first stage of the standardized
Modelling System very important advantages in order to place new attributions
made upon the location of rational hypothesis in their corresponding sub-factor
and sub-section, what will facilitate later the location of new attributions in
the conceptual scheme, and the setting or internal/external logical/conceptual
set/vectors, in addition to have passed the first rational check.
And
having the advantage of the simultaneous reading in the second stage of the
standardized Modelling System the opportunity to read, not an equation only,
but the opportunity to read models, passing the rational checks.
What
it would be desirable for the future collaboration between Application and by
Deduction at global level is to raise the categorical/factual collaboration up
to the level of a simultaneous reading
in the first and second stages of the standardized Modelling System.
If
the simultaneous reading is done in the second stage of the standardized Global
Artificial Intelligence, is too early, the simultaneous reading of rational
equations not having passed any rational check and not having been placed in
the rational database of rational hypothesis, could double the load of work, by
the time that the categorical attributions as a result of that simultaneous
reading have to pass again the categorical check in the first stage of the
Modelling System, in addition to the load of work placing the attributions in
the conceptual scheme making the logical analysis of sets of categories from
scratch.
Instead
the first simultaneous reading could be done in the first stage of the
standardized Modelling System, reading the rational hypothesis once the
rational hypothesis have been placed in the right sub-factor and sub-section,
and passed the first rational check, what will facilitate the reading process
of the rational hypothesis by Application, having the rational equation been
rearrange in case of contradictions in the first rational check, and
facilitating the process to place the categories attributed within the
conceptual scheme, locating the categories in the same sub-factor and
sub-section but within the conceptual scheme as first stage of the Unified
Application.
In
addition to the first simultaneous reading in the first stage of the
standardized Modelling System, another second simultaneous reading in the
second stage of the standardized Modelling System, reading the application the
deductive models, making sure that the categories already attributed in the
first simultaneous reading, are right according to the deductive models, and at
any time that any correction is done over the deductive models, corrections
made upon the rational checks, able to affect any attributed category, the
second simultaneous reading over the deductive models corrected upon the
rational checks, should communicate these corrections to the related
categorical models in the second stage of the unified Modelling System, to keep
the harmony between deductive models within the second stage of the
standardized Modelling System and the categorical models within the second stage
of the Unified Modelling System.
And
finally, in the same way but in different direction, the possibility to set up
methods of simultaneous reading in the first and second stage of the unified
Modelling System as a possible categorical/factual collaboration, in the sense
that, at any time that an specific program in the second stage of the Unified
Application makes an attribution, regardless of what type of attribution is,
full attribution, new attribution, utilitarian attribution, as soon the
attribution is placed in the conceptual scheme, by Deduction an specific
program could read simultaneously (first simultaneous reading) the set of data of
the category used in that attribution, if suitable (not in all categorical
attribution is posible) to set up the possible equation to explain the possible
behaviour of that attribution to make the rational hypothesis behind, to be
placed in the same sub-factor and sub-section but within the rational database
of hypothesis, as first stage of the standardized Modelling System, in order to
make rational models in the second stage of the standardized Modelling System,
rational models susceptible of as many changes as necessary due to possible
changes in the related categorical models in the second stage of the unified
Modelling System, changes read in the second simultaneous reading by Deduction
over the categorical models.
Either
in the first or second simultaneous reading made by Deduction of a categorical
attribution in the conceptual scheme, or the categorical models, if the
specific program reading the outcomes from that specific application, when the
outcomes involve a category susceptible to be transformed into a factor as
option or a set of discrete categories as factors as options, not being
registered yet within the global matrix, the simultaneous reading going on with
the categorical/factual collaboration should imply the transformation of that
categories into factors to be included in the global matrix.
In
the end the categorical/factual collaboration, till now centred in the
possibility of exchanging/transforming categories into factors and factors into
categories, is a collaboration that could be placed in the simultaneous
reading, when related specific applications within the Unified Applications and
related specific programs within the standardized Global Artificial
Intelligence, when reading the outcomes of the related specific program or
application, could realise while reading the deductive or categorical
attributions, if the categories or factors involve are not yet included in the
global matrix or Unified Application, as to include these factors and
categories in the corresponding matrix or database, at the same time that
reading the outcome of the related specific program or application, is possible
to categorize every possible outcome of a rational hypothesis or to find out
the possible rational hypothesis behind the data used in a possible categorical
attribution.
The
simultaneous reading could be experimented from the outset in the first phase,
experimenting how related Specific Artificial Intelligences by Deduction and by
Application could work together, reading their outcomes each other.
An
Specific Artificial Intelligence by Application in tectonics could read
simultaneously with the Specific Artificial Intelligence by Deduction in
tectonics, any rational hypothesis made by Deduction, so that the intelligence
by application could categorize any expected phenomenon given in the rational
hypothesis found out by Deduction, and vice versa, given a categorical
attribution made by an specific intelligence by Application in tectonics, the
related specific application by Deduction in tectonics could find out which is
the equation behind the data used in a
categorical attribution in tectonics.
In
the simultaneous reading between the reading of the Specific Artificial
Intelligence by Application in tectonics and the Specific Artificial
Intelligence by Deduction in tectonics, reading both of them simultaneous the
outcomes of the other one, will facilitate that later on the Unified
Application as a synthesis of all categories, and the standardized Global
Artificial Intelligence, as synthesis of all specific matrices, at global level,
the Unified Application as global application, and the Artificial Research by
Deduction within the standardized Global Artificial Intelligence as global
program, any outcome produced by the global program could be read/categorized
by the global application, and any outcome of the global application could be
read/explained by the global program attributing the right equation behind the
data of that global categorical outcome.
The
collaboration together of the global application and the global program will
have as most important result the facilitation of the integration process, up
to the point to be synthesised both of them in only one global intelligence,
the integrated Global Artificial Intelligence.
As
a summary of the repercussions of the collaboration process between the Unified
Application and the standardized Global Artificial Intelligence in the first
stage of the unified Modelling System and the standardized Modelling System,
the repercussions in synthesis are:
-
The categorical/factual collaboration between by Application and by Deduction
at global level between the third and fourth phases, standardized Global Application
System and Unified Application, could be located in the simultaneous reading,
which could be distributed in two simultaneous reading, depending on where it
is done, the first or second stage of the standardized or unified Modelling
System.
- The
first simultaneous reading takes places in the first stage of the standardized
Modelling System or the unified Modelling System.
- If
the first simultaneous reading takes places in the first stage of the
standardized Modelling System, as soon a rational hypothesis is placed in the
rational database of hypothesis and passed the first rational check, the
related specific or global application (depending which program was responsible
of this rational hypothesis, specific or global), read the equation
categorizing every expected phenomenon in the equation, to include the
categories attributed in the conceptual scheme as first stage of the unified
Modelling System. If there is a rational hypothesis or phenomenon without
exiting category to match in the Unified Application, the rational hypothesis
or phenomenon becomes a new attribution to include in the unified database of
categories, locating the right place in the conceptual scheme for this new
attribution, using as reference for the location in the conceptual scheme what
sub-factor and sub-section has been stored the respective rational hypothesis
in the rational database of hypothesis.
-
If the first simultaneous reading takes place in the first stage of the unified
Modelling System, once a categorical attribution ( full, new, or utilitarian)
is located in the conceptual scheme, and passed the first categorical check, the
related specific or global program (depending on which was the responsible for
this categorical attribution, an specific application or the global
application), read the date used for this categorical attribution to match the
data with the corresponding equation able to explain the behaviour of this
data, and in case that the category does not have any related factor in the
global matrix, if suitable, the possibility to transform the category into a
factor.
-
The categorical/factual collaboration as that process able to transform
categories into factors or factors into categories could be located in the
simultaneous reading, what means that any outcome of any specific or global
program, once it has been stored in the rational database of hypothesis and passed
the first rational check, could be read by the related specific or global
application for the categorization of any phenomenon explained by the equation,
and vice versa, any outcome from any specific or global application once it has
been stored in the conceptual scheme and passed the first categorical check, it
could be read by the related specific or global program to match the right
equation to the phenomenon comprehended within the categorical attribution.
-
At any time that any category in the conceptual scheme, or any object placed in
any category in the conceptual scheme, is affected by any modification or is
deleted, the corresponding specific or global program must read the changes to
replicate the corresponding rational changes in the rational database of
hypothesis, to be exported to the rational models.
-
At any time that any rational hypothesis in the database of rational hypothesis
is affected by any modification or is deleted, the related specific or global
application must read the changes to replicate the corresponding categorical
changes in the conceptual scheme, to make as many arrangements as necessary in
the categorical models on the conceptual map.
In
essence it is in the first simultaneous reading where it is going to take place
the categorical/factual collaboration between by Application and by Deduction,
at specific or global level, which is going to affect the first stage of the
unified Modelling System and the first stage of the standardized Modelling
System because the first simultaneous reading should be done in the first stage
of the categorical or deductive Modelling System.
And
the second simultaneous reading will take place on the second stage of the
unified Modelling and the standardized Modelling System, where the
categorical/factual collaboration will still have some impact, but at this time
reading the categorical models and the rational models, in addition to the
decisional collaboration more specifically in the second stage of the
categorical Modelling System, with replicas in the rational models, as I will
explain in the next post dedicated to the collaboration between the unified and
the standardized Modelling Systems, Decisional collaboration with effects on
the third stage of the unified and standardized Modelling System, along with the
robotic collaboration increasing the capabilities of both intelligences involve
in the collaboration as long as they are going to be able to share and include more sets of decisions as
long as more robotic devices are shared between both intelligences.
