The Eidos-X++
system differs from other artificial intelligence systems in the following
parameters:
- it was developed in a universal setting, independent of the
subject area. Therefore, it is universal and can be applied in many subject
areas (http://lc.kubagro.ru/aidos/index.htm);
- it is in full open free access (http://lc.kubagro.ru/aidos/_Aidos-X.htm) and
has all the relevant source texts (http://lc.kubagro.ru/__AidosALL.txt);
- it is one of the
first domestic systems of artificial intelligence of the personal level, i.e.
it does not take special training in the field of technologies of artificial
intelligence from the user (there is an act of introduction of system "Eidos"
in 1987) (http://lc.kubagro.ru/aidos/aidos02/PR-4.htm);
- it provides
stable identification in a comparable form of strength and direction of
cause-effect relationships in incomplete noisy interdependent (nonlinear) data
of very large dimension of numerical and non-numerical nature, measured in
different types of scales (nominal, ordinal and numerical) and in different
units of measurement (i.e. does not impose strict requirements to the data that
cannot be performed, and processes the data that can);
- it contains a large number of local (supplied with the
installation) and cloud educational and scientific applications (currently 31
and 329 (http://aidos.byethost5.com/Source_data_applications/WebAppls.htm),
respectively) (http://lc.kubagro.ru/aidos/Presentation_Aidos-online.pdf);
- it supports on-line environment of knowledge accumulation
and is widely used all over the world (http://aidos.byethost5.com/map5.php);
- it provides multilingual interface support in 51 languages.
The language databases are included in the installation and can be replenished
automatically;
- the most
time-consuming, computationally, are the operations of the synthesis models and
implements recognition using graphic processing unit (GPU) where some tasks can
only support up to several thousand times; the solution of these tasks is
intelligent processing of big data, big information and big knowledge;
- it provides
transformation of the initial empirical data into information, and its
knowledge and solution using this knowledge of classification problems,
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 found in: http://lc.kubagro.ru/aidos/aidos18_LLS/aidos18_LLS.pdf);
- it well imitates the human style of thinking: gives the
results of the analysis, understandable to experts according to their
experience, intuition and professional competence.
- instead of
making almost impossible demands on the source data (such as the normality of
distribution, absolute accuracy and complete repetitions of all combinations of
factor values and their complete independence and additivity),
the automated system-cognitive analysis (ASC-analysis) offers to
process this data without any preliminary processing and thereby transform it
into information, and then transform this information into knowledge by
applying it to achieve goals (i.e. for the management) and solving problems of
classification, decision support, and meaningful empirical research of the
domain being modeled.
What is the
strength of the approach implemented in Eidos system? The
strength is implementing an approach whose effectiveness does not depend on
what we think about the subject area or whether we think at all. It generates
models directly based on empirical data, rather than based on our understanding
of the mechanisms for implementing patterns in this data. This is why Eidos models
are effective, even if our understanding of the subject area is incorrect or
totally absent.
And this as well
is the weakness of this approach implemented in Eidos system. Models of
the Eidos system
are phenomenological models, i.e. they do not reflect the mechanisms of
determination, but only the fact and nature of determination.