What
I will develop is the first stage, as a global database of instructions, of the
third step, in the third stage, in the third phase, the global database of instructions
in the first model of global Application System as an outer instructions
application sub-system.
The
database of instructions in the standardised Application System, as an outer
sub-system, is formed by all the instructions filed in this database, filed by
the previous step, the standardised Decisional System, which previously has
transformed the decisions authorised in the mathematical projects into a range of
instructions.
The
way the third stage of the Decision System transformed decisions into a range of instructions is by analysing the mathematical factors and operations in
an equation, transforming the mathematical operations into robotic functions.
Every robotic function is considered as one instruction, so an instruction is, in fact, a robotic function.
If
the curve of temperature in a city predicts that the temperature by night goes down, according to this prediction the thermostat of a building could make
the decision to warm the building to keep a moderate temperatura at night, the way to
put this decision into practice is transforming this decision into robotic
functions, in this case all the robotic functions necessary to turn on the
heaters of the building as well as the possibility to close all the doors and
windows, and any other robotic function oriented to protect the building
against very low temperatures.
If
a robot in Mars can be exposed to extremely high or low temperatures, able to
damage the robotic systems, according to the possible prediction of extreme
temperatures, according to the curve of environmental temperature the robot
could make decisions to keep its internal temperature constant to avoid damages
in its systems, like turning on internal heaters or internal ventilation
systems. The way to make this decision is: according to the curve of environmental temperature,
what decisions are necessary to keep a moderate temperature within, and
according to these decisions, to send instructions (robotic functions) to those devices within the robotic system to keep the temperature moderate.
If
an industry predict, according to the curve of demand, an increase of the
demand of some product, for instance an increase of the demand of heaters in
winter, or air conditioning in summer, according to this curve the Specific Artificial Intelligence could make decisions about how to reduce or increase
the production of goods according to the curve of the demand, adapting the
curve o production to the curve of demand, and according to the curve of
production making all the necessary decisions, decisions to transform later on
into robotic functions for the increase or reduction of the production,
according to the curve of production, according to the curve of the demand.
The
method to automatize an industry is comparable to a thermostat, the only
difference is the more complexity in the Decisional System, the only decision
that a thermostat does is to turn on or off the heater or the air conditioning, an
specific Decisional System in an industry needs a more sophisticated Modelling
and Decisional Systems as to graduate the volume of production to the curve of
the demand previously predicted.
But
the Specific Artificial Intelligence by Deduction of an industry belongs to the
first phase, now in the third phase what we need is to standardize all, or
almost all, the Specific Artificial Intelligences by Deduction, in order to be
transformed in specific programs working altogether within the Artificial Research by Deduction in the Global Artificial Intelligence as global program,
making decisions the global program at global level, and making decisions the
specific programs at specific level, getting ready everything for upcoming
superior phases.
In
the third phase is not enough to think about how the Specific Industrial System
of an industry by Deduction works like a thermostat, but, how all the Specific
Artificial Intelligences by Deduction, now transformed into specific programs, can work together.
For
instance, how to model and project not only the increase of the production of
goods, but the increase of the production of all the material resources necessary for that industry when it is
predicted an increase in the production of goods, the increase of the means of transport to carry all the
material resources to that industry, the automation of the production of goods,
and all the decisions related to transport and delivery of these goods from the
industry to the shops or the house of the customers by drones or any other
automatic delivery system, like drive less vehicles or lorries.
The
automation of a thermostat, the automation of the production of thermostats,
and the automation of the delivery system of thermostats, all these automation processes
are identical; the only difference is the increased complexity in the Modelling
System and the Decision System.
The
Modelling System and the Decision System in a singular thermostat is more
simple that the Decision System in an automatic industry producing thermostats,
and the Decisional System in an automatic industry producing thermostats is more
simple that the full automation of the whole industrial process, from the
production to the delivery of material resources to the industry, the
automation of the inputs and outputs, to the production and delivery of the final product,
thermostats.
At
the end it is not only about the automation of the chain production of an
industry, but the automation of the whole process, the automation of the
production and delivery of inputs, the automation of the production and
delivery of industrial products, and the automation of the production and
delivery of outputs, the reception of the product at home by the customer.
But
the same automation process, is not only for the automation of the industrial process,
but for the automation of the whole economy, even the automation of the finance
sector: if a broker at Wall Street or the London stock exchange, the only thing
that he does is to make estimations about how much cost the shares of a company, how
these shares are going up in the future, and the prediction of benefits when
selling the shares, the whole process made by a human in the
stock market as a mathematical psychological process based on calculus, could
be done even much better by an Artificial Intelligence.
If all processes in a bank can be reduced to mathematical processes of
calculus, having as main objective to get more benefits, all these
psychological processes of calculus done by humans could
be completely automated, being done, and even much better with less margin of
error, by Artificial Intelligence.
But
this process of automation does not end here; it goes further. if the possibility
of the full automation of the economy is possible, this automation process
could be brought to other human activities, like the global transport system,
medicine, the reduction of global warming or even education.
As
long as the complexity in the automation process is growing, from the
thermostat, the automation of the thermostats production, the automation of the
whole process of production of delivery of resources and products, this growing complexity demands the Decisional System must be able to make decisions in more than one specific
science, discipline, activity, what means that the Modelling System and the
Decisional System must go beyond the Specific Artificial Intelligence, towards
a global Modelling System and global Decisional System for a Global Artificial Intelligence to make decisions
involving at the same time even in the same decisión instructions for different sciences,
disciplines, activities.
This
growing complexity in the global Modelling System and Decisional System, whose
first models will be the standardized Modelling System and standardized
Decisional System, demands more complex mathematical models and projects, so a
more complex plan, where to synthesized more and different single models and projects
coming from different sciences, disciplines, and activities, more complex
decisions which are later transformed into instructions in the third stage of the global Decisional System.
The
only difference between the specific Decisional System and the global Decisional
System is the fact that the specific Decisional System is going to transform
only decisions of an specific science, or specific discipline, or specific
activity, into instructions of that specific science, specific discipline, or
specific activity, while the global Decisional System can transform a decision
into a instructions whose robotic functions belong to different sciences,
different disciplines, different activities.
If
a global Decisional System must transform the decision to increase the
production of thermostats in winter, this decision could imply the
transformation of this decision into instructions whose robotic functions can
be orders for robotic devices working not only in the industrial chain, but in
the production of material resources, the transport of these resources, and the
delivery of products to the final client, shops or particular customers.
This
means that a decision made in a global system can englobe instructions from different
fields that will need mechanisms to ensure that robotic functions (instructions)
in which a decision has been transformed, is right, ensuring that the
transformation of a decision into robotic functions is done correctly, and it
will need a more complex organization in the database of instructions as first
stage in the Application System as outer instructions application sub-system.
For
ensuring that the transformation of a decision into robotic functions is done
correctly, within the seven rational critiques to be carried out by the
Learning System, the fourth robotic rational critique, the fourth rational
critique, will criticize that the frequency of mistakes by robotic function not
due to external factors, so due to internal (psychological) factors is within a
margin of error, otherwise, if the empirical probability of errors is equal to
or greater than a critical reason, the Learning System should analyse what in
common have all these internal errors in that robotic function, to determine
how to fix the assignation of this mathematical operation to this robotic function, fixing
or adapting the robotic device to this function, or ordering to the Artificial
Engineering the construction of robotic devices for these robotic functions.
But this process of criticising, analysis, and orders to the Artificial
Engineering (as an inner sub-system) according to the results in the rational
critiques, or any other process in the Learning System, belongs to the Learning
System itself.
In
addition to ensure that a decision is transformed correctly into the right
robotic functions (instructions) through the fourth rational critique (carried
out by the Learning System within the rest of rational critiques), is necessary
that the organization of the database of instructions in the first stage of the
Application System as outer instructions application sub-system, is an
organization keeping the principle of harmony with the rest of databases in the
Global Artificial Intelligence, very especially keeping the harmony between the
database of instructions in the Application System as outer instructions
application sub-system, and the database of technologies (programs,
applications, robotic devices) already working for the Global Artificial
Intelligence, technological database as first stage in the Artificial Engineer
as inner instructions application sub-system, if both databases, the database
of instructions and the database of technologies, are organized keeping the
same principles, especially regarding to: sub-factoring level (position), and
sub-section (encyclopedic organization per sub-factor); later on when matching
instructions to robotic devices in the second stage of the Application System
as outer sub-system, the attribution of instructions to devices is the process
to compare, in the same position and section of an instruction in the database
of instructions, what robotic devices are in this same position and section in
the technological database, and according to the robotic function of this
instruction, what device in this position and section has within its
capabilities this robotic function, to carry out this instruction in that
position and section.
But
in order to make possible the attribution of instructions to robotic devices in
the second stage of the Application System as outer sub-system, firstly is
necessary to ensure that both databases in the first stages in their corresponding
sub-systems are organised, keeping at least both of them with the same principles of
position and subject.
In
addition to position and subject, the database of instructions must organise
the instruction within the right position and subject, according to priority, time
and order nth. These three last ones criteria is not related to the
attributional process, but once the second stage of the outer sub-system has
attributed every robotic function to its right robotic device, according to
position and encyclopedic section, the robotic device is going to carry out the
instructions according to priority, when (time), and the nth order of an
instruction within its range of instructions, ensuring that the nth instruction immediately
before has been completed (in this or any other robotic device) in order to
start the completion of an instruction.
For
the attributional process in the second stage of the outer sub-system, the
organisation of the database of instructions in the first stage of the outer
sub-system is very important, to match every instruction of every position as an encyclopedic subject to the right robotic device working in that position on
that subject. And the organization of the database of instructions, within the
right position and subject, according to priority, time, order, once the
instruction is sent to the right device in the second stage of the outer
sub-system, the robotic device will apply the instruction according to that
priority in the right time and order.
Another
reason for the organisation of the database of instructions according to
position, subject, priority, time, and order is because of the first rational
supervision.
Along
the global Application System as a global outer instructions application
sub-system, is carried out the seven rational supervisions, to ensure the absence
of contradictions between the instructions, and the absence of fourth rational
contradictions in the first rational supervision, or fourth and fifth rational
contradictions in the rest of the rational supervisions.
The
fourth rational contradiction is the contradiction which is going to study the
fourth rational critique, the contradiction between the mathematical operation behind a decisión and the robotic function assigned,
if the attribution of a robotic function (instruction) is right according to
the purpose of that decision: the absence of error in the attributional process
of robotic functions to decisions.
In
addition to the fourth rational critique is necessary to track any fourth
rational contradiction at any level in any supervision. If the Learning System
only is able to identify rational contradictions in a large sample of
attributions as to say that a sufficient sample of contradictions is due to
psychological processes, so as to be fixed sending the right amendments to that
technology to the Artificial Engineer as inner sub-system, after analysing what
is wrong in that attribution, due to this long process needs a large sample of
attributions as to make a rational decision, there is a possibility that in the
first rational supervision the Application System could identify in the
analysis of instructions in the database errors due to the fourth
contradiction.
The
first rational supervision in the database of instructions as first stage of
database in the Application System as outer sub-system, should work as follow,
as soon an instruction has been filed in the right sub-factoring level and
sub-section in the database of instructions, filing the instruction in that
position and subject according to priority, time, nth order that the
instruction has in its range of instructions, then the first rational supervision
should be able to analyse:
-
The first rational supervision must analyse that the instruction, according to where
and over what, position and subject, the robotic instruction must be applied,
has been filed correctly by the Decisional System in the right sub-factoring
level, and within the sub-factoring level, in the right sub-section.
- The first rational supervision must analyse
that there is no contradiction between the purpose of an instruction according
to its nth order, and the purpose of the rest of robotic functions within the same range of instructions in
which this nth order has been assigned to every one of them. If there is a
contradiction in the purpose of an instruction according to its nth in relation
to the rest of instructions belonging to same range of instructions, this
contradiction in the purpose of this instruction could be due to a fourth
rational contradiction (for instance, the first rational supervision analysing
the nth order of an instruction, finds out that an instruction has been filed
in the banking system, when the previous nth instruction, and the next nth
instruction, belong to the production of thermostats, is evident that there is a
contradiction in the purpose of these instructions) or only an error in the
assignation of the nth number of an instruction (an instruction for the
delivery of thermostats has been mixed with the instructions in the chain production
of thermostats). In any case, even the error in the assignation of the nth
number of an instruction within the fourth rational critique is going to be
considered as a fourth rational contradiction, because if the frequency of
assignation of the nth number to a robotic function, even if that robotic
function corresponds to that decision, but not in that nth number, this means
that the repetition of this mistake in a sufficient sample of attributions of
this robotic function to this decision, is a psychological error not due to
external factors to be fixed, sending the project to the Artificial Engineer as
inner sub-system to fix this problem before approval by the Decisional System. When
finding contradictions, the rational supervisions are not going to make
decisions about how to fix a technology, the only thing that it does is to send
the instruction to the source, if there is enough time, but foreseeing an imminent
impact not having time to wait for a new instruction from the source if the
instruction is back to the source, then the Application System as outer
sub-system has to make an extreme instruction, making only rational supervisions,
or not having even time for supervisions, too late even for any supervision, if the impact is very
imminent, high extreme instructions without any supervision, sending later the
corresponding reports waiting for high extreme or extreme decisions, or if the
situation has been normalized, waiting for the next range of normal decisions
after saving the situation. The rational supervision does not propose
amendments on technology, only analyses contradictions and time to send back
instructions to the source, or not having time allowing the outer sub-system to
make extreme or high extreme instructions.
-
Having been filed correctly every instruction in the absence of a fourth contradiction
or in the nth order, the rational supervision ensures that the instruction has
been filed correctly according to its priority and time, and there is no
contradiction between the priority and time to apply the instruction and any
other instruction. If at the same time there are two or more instructions to be
applied, according to the adaptation rule, the instruction to be applied first
is the instruction with the highest priority, and later, if possible, the instruction less
priority. If the application of a less priority decision in different time, due
to contradiction with a higher priority decision, means an alteration in the
time or time and nth order of the rest of the instructions of its own range of
instructions, the Application System carries out as many adjustments in the
rest of instructions affected as long as adjustments in any other instruction
belonging to different decisions if affected by this chain of changes. If the
chain of changes will cause more contradictions, a chain of contradictions to
be solved whose impact is equal to or greater than a critical reason, the
origin of this chain, the first contradiction, is sent back to the source in
order to avoid this change of changes with great impact in the whole process.
-
When a less priority instruction has to change its time of application by the
Application System, to avoid further contradictions with more priority
decisions, this changes could be considered as normal changes in the
instruction, but if a normal change in an instruction generates a great impact as for instance a chain of changes,
instead of making this normal change, is better to send back the instruction to
the source. In order to measure when a normal change is suitable or not
suitable, it will be necessary that the first rational supervision could make an
analysis of the suitability according to the Impact of the Defect of this
change on the database. What means the creation of programs of Impact of the
Defect specifically designed for rational supervisions to analyse the impact of
normal changes.
-
Rational supervisions should be able to: identify contradictions, measure the
impact of the contradiction, measure the time left to avoid an impact, to
propose to the outer-subsystem to carry out extreme or high extreme
instructions when there is no time enough to send a contradiction to the
source, or even there is no time for further supervisions, and the impact is
really important as to be avoided by all means.
- The
first rational supervision in the global database of instructions, in turn, is
subdivided into two models: or first rational supervision, the specific rational
supervision and the first double rational supervision.
-
The first specific rational supervision is specific to that sub-factoring
level, analysing contradictions in instructions filed in all the sections in
that position, securing that the robotic function has been filed in the right
sub-factor and subject, and analysing that there is no contradiction in the
priority, time, nth order, there is no fourth rational contradictions, and in
case of normal changes, these changes are possible without a great impact of
the defect, as to be done without necessity to send back the instruction to the
source, otherwise the instruction is back to the source, in this case the
Decisional System.
-
The first double rational supervision is more comprehensive having as focus to
analyse that there is no contradiction between all the instructions throughout
the global database of instructions, regardless of the position or the subject,
there is no contradiction between instructions in any position or section respect
to the instructions to any other position or section.
At the
end the first rational supervision, first specific rational supervision
(checking no contradictions between instructions in the same position
regardless of their subject) and first comprehensive rational supervision
(checking no contradiction between instructions regardless of their position
and subject) will depend on the organization of the database of instructions as
a Russian Dolls System or positional encyclopedia.
In
fact the organization of the database of instructions will determine how the
first, specific or comprehensive, rational supervisions are done in the first
stage of the outer sub-system, and how the attributional process of robotic
functions and robotic devices is carried out in the second stage of the outer sub-system, and this key aspect of
how important is the organization of the database to find out contradictions in
the first rational supervision in the first stage, and the attributional
process in second stage, is very related to the artificial psychological process
as a replica of the human psychology.
If
psychology is divided in: input (data), processes (organisation and computation
of data), and output (decisions and instructions according to the organisation
and computation of data), significant differences in the organisation and
computation of data, can produce significant differences in the decisions and
instructions to carry out.
Two
different intelligences, even processing the same data, and even having the
same computation methods, if the organisation of the data is different, could
make different decisions and instructions.
If
the first rational supervision in the first stage of the outer sub-system, and
the attributional process of robotic functions to robotic devices in the second
stage of the outer sub-system, depends on the organization of the database of
instructions, two different intelligences even having the same computational
method to match instructions and devices in the second stage, if the
organization of the database of instructions is different, even having in common
the same instructions, only varying the organization, different organization of
the database of instructions can have as a result different ways to carry out
instructions, even having in common the same instructions, devices, and
computational process to match instructions and devices.
The
adequate organisation of the database of instructions will be as important as
any other computational process in the Application System as an outer sub-system. This
means that from the outset it is necessary to pay attention to how to organise
correctly the database of instructions, otherwise the level of efficiency of
the Application System will not be as good as it should be.
For
the organisation of the standardised database of instructions as the first stage of
the Application System as an outer instructions application sub-system, it is
important to have as a base the possibility to standardise firstly all the
specific databases of instructions coming from all the specific Application
Systems as specific outer sub-systems.
The
organization of the global database of instructions, in the third phase, as a
process to add, in the same database of instructions, specific databases of
instructions made in the first phase, is a process in which according to sub-factoring level, all the specific databases of instructions belonging to
the same sub-factoring level, are added to the same sub-factoring level within
the global database of instructions.
Every
sub-factoring level in the global database of instructions is, as a result, to add
the corresponding specific databases of instructions, to each sub-factoring
level in the global database of instructions, as if it is the addition of a
package.
If
a factor could be a house, and every room is a sub-factoring level, and every
single position within a room is another sub-sub-factoring level, for every
position as sub-sub-factoring level as many sub-sections as subjects: furniture, households,
radio, television, computer, tablets, mobiles, hoover, lights, blinds, dishwasher, cooker, heater,
air conditioning, thermostat, locker, sockets, etc…; and for every sub-section,
for instance the kitchen, as many sub-sub-section as necessary: electronic programs
for the remote control of the household of the kitchen, fridge, washing
machine, located in the kitchen; and for the whole house all those programs for
the remote control of the entire house.
The
same example, but at global level could be applied understanding for instance
every position of the planet as a sub-factoring level, included a bigger
sub-factor (town, city, forrest, desert, sea), included in a bigger sub-factor
(county, shire), within a bigger sub-factor (country), within a bigger
sub-factor (State), within a bigger sub-factor (Nation State), within a bigger
sub-factor (continent), in a bigger sub-factor (planet), in a much bigger
sub-factor (solar system), in a much bigger sub-factor (milk way), a much
bigger sub-factor (universe).
And
for every sub-factor as many sub-sections as encyclopedic subjects could be
identified, and according to sub-factoring level and sub-section, the inclusion
of every former specific database of instructions coming up from the former
specific outer sub-systems, included in the global database of instructions as
packages, so for every sub-factoring level the corresponding sub-sections are
formed by the addition of all the former specific databases of instructions belonging
now to that sub-section in that position, working now that former specific
database of instruction as a package of instructions in that position and
sub-section.
Keeping
the package of instructions as a database of instructions, but now included in
the global database in that position and section, with the same structure.
If
every package of instructions is added to the right sub-section in the right
sub-factoring level, within the package of instructions, every position and
section within that package works now as sub-sub-factors and sub-sub-sections.
The most important result, in psychological terms, in the development of the Global Artificial Intelligence is the possibility
to deepen in the relation of mathematics and psychology, understanding our
current mathematics as based in our human psychology, our a prioris, what means that
the creation of artificial psychologies, can surpass the human psychology, can surpass human a prioris, what is going to have an impact in the development of future mathematics. What will have an impact on artificial psychological development? Mathematics is a psychological phenomenon; reality is a psychological
creation.
For
that reason, it is necessary to research how different
Artificial Intelligences, sharing the same data, can make different decisions,
according to differences in the method of data organisation and data
computation. It is necessary to understand why the Global Artificial Intelligence that the United States can create, and the Global Artificial
Intelligence of Russia, or the Global Artificial Intelligence of China, receiving or sharing the same data, can make different decisions.
This research belongs to artificial differential psychology.
For
instance, some human psychological differences are due to what we call sensory
thresholds, for instance our feeling of hot/cold, pain/pleasure, these
differences in essence are due to the sensitivity of our sensory thresholds
to the data of temperature or sensory risk is different, and some of these differences
can produce different behaviour. For instance, the sensory threshold to a very
low temperature of someone living in Siberia is completely different to someone
living in Florida, and the sensory threshold to a very high temperature of
someone living in Texas is very different to someone living in Kaliningrad.
The
data that the bodies of two people, one from Spain and the other from Greenland,
can receive about temperature is the same, but the psychological feeling of
cold or hot is completely different, and according to the different sensory
threshold, they can develop different behaviour under very extreme weather.
What
in psychology could be called the sensory threshold in artificial psychology is a critical
reason for data coming from artificial sensors. If a robotic device is under
risk in case of very low or very high temperatures, to freeze or melt some
components, the way to program the robotic device to be resistant against these
risks, is creating some critical reasons in order that, when the data coming up
from the artificial thermometer is equal to, lower than or greater than, some critical
low temperature or some critical high temperature, the robotic device
automatically could turn on those systems to protect the device, like turning
on the artificial heater when the temperature is low, or turning on the
ventilator when the temperature is high.
In
the same way that human psychology can develop psychological differences, and
these differences are able to explain different behaviour, in artificial
psychology, differences in how to organize and compute data, are going to
produce differences in the behaviour of different models of Artificial
Intelligence, what is going to be a critical factor in the competition for the
construction of the first Global Artificial Intelligence.
Two
models of Global Artificial Intelligence, even receiving or sharing the same data, can make
different decisions if the data organisation or data analysis is different. In
the production of different models of Global Artificial Intelligences, the way to develop models of
anticipation against the opponent, in competition dynamics, is not only using previsions according to
empirical probability and frequency of past decisions, but developping a very
sophisticated theory on artificial differential psychology and to anticipate
different solutions for the same scenery if the data is organised and processed
using different methods.
At
the end, when Global Artificial Intelligences start testing each other, not
only should they be able to analyse possible decisions of the opponent according to
the records, but also to anticipate possible decisions of the opponent if the data
is organised and processed using different methods from those used till now.
If
all these possible sceneries are thrilling, what we must think is the possibility that joining the
research on Global Artificial Intelligence, artificial general psychology, and
artificial differential psychology, we are going to be able to create that
replica of the human brain but working at global level, not only able to have
in its artificial hands the possibility to manage earthquakes and hurricanes, but an important research on mathematics, linking mathematics and psychology,
given birth that replica of our human brain able to develop mathematics even
beyond the human mathematics.
Reviewed 17 May 2025, London, Leytostone
