Of course, the Eidos
system, as they say, is not the only place where the world ends. There are many
very worthy artificial intelligence systems. To personally verify this, it is
enough to search the Internet yourself, just look at the files:NCKR-1,NCKR-2,NCKR-3,NCKR-4or
follow the links:
https://learn.microsoft.com/ru-ru/dotnet/machine-learning/how-does-mldotnet-work,
http://chat.openai.com/, https://poe.com/, https://neural-university.ru/,
https://dzen.ru/a/ZCKZRKvrlEMBWOk8, https://ora.ai/, https://ora.ai/explore?path=trending,
https://ora.ai/eugene-lutsenko/aidos, https://poe.com/Aidos-X, https://rudalle.ru/,
https://bard.google.com/, https://chatbot.theb.ai, https://problembo.com/ru/services(may
be useful - mail for 10 minutes: https://10minutemail.net/), https://poe.com/GPT-3.5-Turbo-Instruct,
https://www.seaart.ai/home, https://ui.chatai.com/, https://app.runwayml.com/,
https://perchance.org/ai-image-generator
However, the Universal Cognitive
Analytical System "Eidos-X++" differs from
most of these systems in at least some of the following parameters:
-is universal and can be applied in many
subject areas, since it was developed in a universal formulation, independent
of the subject area (http://lc.kubagro.ru/aidos/index.htm) and has 6 automated
software interfaces (API) for inputting data from external data sources of
various types: tables, texts and graphics. The Eidos
system is an automated system, i.e. it assumes direct human participation in
real time in the process of creating models and using them to solve problems of
identification, forecasting, decision-making and research of the subject area
by studying its model (automatic systems operate without such human
participation);
-is one of the firstand
the most popular domestic personal-level artificial intelligence systems, i.e.
it does not require the user to have special training in the field of
artificial intelligence technologies and programming: there is an act of
implementation of the Eidos system in 1987
(http://lc.kubagro.ru/aidos/aidos02/PR-4.htm);
-it really works, ensures stable
identification in a comparable form of the strength and direction of
cause-and-effect relationships in incomplete, noisy, interdependent
(non-linear) data of very high dimensionality of numerical and non-numerical
nature, measured in various types of scales (nominal, ordinal and numerical)
and in various units of measurement (i.e., it does not impose strict
requirements on data that cannot be met, but processes the data that is
available);
-has a "zero entry threshold":
-contains a large amount intelligent local
(i.e. supplied with the installation) and cloud educational and scientific Eidos-applications (at present they are 31 and more 410,
respectively: http://lc.kubagro.ru/Source_data_applications/WebAppls.htm)
(http://lc.kubagro.ru/aidos/Presentation_Aidos-online.pdf,
http://lc.kubagro.ru/Presentation_LutsenkoEV.pdf);
-is in full open access for free
(http://lc.kubagro.ru/aidos/_Aidos-X.htm), and with up-to-date source texts
(http://lc.kubagro.ru/__AidosALL.txt): open license: CC BY-SA
4.0(https://creativecommons.org/licenses/by-sa/4.0/), and this means that it
can be used by anyone who wishes, without any additional permission from the
original copyright holder - the author and developer of the Eidos
system, Professor E.V. Lutsenko (note that the Eidos system was created entirely using only licensed
instrumental software and there are 34 certificates of the Russian Patent Agency
for it);
-is an "interpreter of intelligent
models" i.e. on the one hand it is an instrumental shell that allows you
to create intelligent applications based on it without any programming
configurator of statistical and system-cognitive models, and on the other hand,
it is a run-time system or execution environment that ensures the operation of
these intelligent applications in an adaptive mode;
-to master the Eidos
system on your own just download from the page:
http://lc.kubagro.ru/Installation_Eidos.phpand install the full version of the
system, and then in 1.3 mode download and install from the Eidos
cloud one of the intelligent cloud Eidos applications
(http://lc.kubagro.ru/Source_data_applications/WebAppls.html) and execute it,
following the description of the application. Usually this is the readme.pdf
file in the folder: c:\Aidos-X\AID_DATA\Inp_data. For studying it is better to
choose the newest applications, the author of which is prof. E.V. Lutsenko. In addition, on the page: http://lc.kubagro.ru/aidos/How_to_make_your_own_cloud_Eidos-application.pdf
there are more 300 one and a half hour video lessons (in Russian) and many
other educational materials and examples of descriptions of intelligent Eidos applications: http://lc.kubagro.ru/Video_lessons_by_Prof.EVLutsenko/Catalog.php;
-on page:
http://lc.kubagro.ru/aidos/_Aidos-X.htm There are many
thematic collections of publications on the applications of the Eidos system in various subject areas.
-supports on-line environment accumulation
and exchange of knowledge, is widely used throughout the world
(http://lc.kubagro.ru/map5.php);
-provides multilingual interface support
in 51 languages. Language databases are included in the installation and can be
replenished automatically;
-the most computationally labor-intensive
operations of model synthesis and recognition are implemented using graphics
processing unit (GPU), which on some tasks provides acceleration of the
solution of these tasks by several thousand times, which really provides
intelligent processing of big data, big information and big knowledge (the
graphics processor must be on the NVIDIA chipset, i.e. support the OpenGL
language);
-ensures the transformation of initial
empirical data into information, and it into knowledge and solving problems
using this knowledge identification, forecasting, decision support and research
of the subject area by studying its system-cognitive model, generating a very
large number of tabular and graphical output forms (development of cognitive
graphics), many of which have no analogues in other systems (examples of forms
can be seen in the work: http://lc.kubagro.ru/aidos/aidos18_LLS/aidos18_LLS.pdf);
-imitates human thinking style well and is
a tool for learning: gives results of analysis that are understandable to
experts based on their experience, intuition and professional competence, if
these experts already exist, and if they do not yet exist, then it still gives
correct results of knowledge, which will be recognized by future experts when
they appear;
-instead of making practically impossible
demands on the initial data(such as normality of distribution, absolute
accuracy and complete repetitions of all combinations of factor values and
their complete independence and additivity) automated
system-cognitive analysis (ASC-analysis) offers without any preliminary
processing make sense of the data that exists, and thereby transform them into
information, and then transform this information into knowledge by applying it
to achieve goals (i.e., for decision making and management) and solving
problems of classification, decision support and meaningful empirical research
of the modeled subject area.
What is the strength of the approach
implemented in the Eidos system? In that it
implements an approach whose effectiveness does not depend on what we think
about the subject area and whether we think at all. It forms models directly
based on empirical data, and not on our ideas about the mechanisms for
implementing patterns in this data. That is why Eidos
models are effective even if our ideas about the subject area are erroneous or
completely absent.
This is the weakness of this approach,
implemented in the Eidos system. Models of the Eidos system are phenomenological models reflecting
empirical regularities in the facts of the training sample, i.e. they do not
reflect the cause-and-effect mechanism of determination, but only the fact and
nature of determination. The substantive explanation of these empirical
regularities is already formulated by experts at the theoretical level of
knowledge in substantive scientific laws.