Trunev
AP Lutsenko EV
A
86 Automated system-cognitive analysis of the influence factors of space
environment on the economics, the magnetosphere and lithosphere of the Earth:
The monograph (scientific publication). – Krasnodar, KubSAU. 2012. – 480 p.
ISBN
978-5-94672-519-4
The
monograph presents the information model of socio-economic and natural
processes as they relate to the space environment. The theory is based on the
hypothesis of space-time scaling phenomena and processes of the same nature.
Methods present of detection algorithms of the various events in geophysics,
economics and sociology, including seismic events, variations in the
geomagnetic field, Earth's polar motion, exchange rates, economic indices and
social categories. In view of large dimension of the problems to deal with them
the artificial intelligence system created and methods and algorithms for data
visualization developed.
For
anyone interested the opportunity to take another step in understanding the
general properties of the system of determination of socio-economic and natural
processes.
Ref.
102, Fig. 188, Table. 68.
ISBN
978-5-94672-519-4
INTRODUCTION
CHAPTER
1: INFORMATION THEORY AND ARTIFICIAL INTELLIGENCE SYSTEM «EIDOS»
CHAPTER
2: SYSTEM «EIDOS-ASTRA»
2.1.
Description «Eidos-astra» and voting algorithm model
2.2.
Measurement of accuracy algorithm of identification of private classes in
different models
2.3.
Algorithm of the database «atest_mm.dbf» generation for measurement accuracy of
identification in models
2.4.
Speed mode algorithm of recognition of respondents from atest.dbf using a
priori information
2.5.
Algorithm for the full recognition of respondents from atest.dbf in all models
2.6.
Voting algorithm model
2.7.
«Eidos-astra» - intelligent systems research influence of space environment on
the global geosystems
2.8.
Development of intelligent system «eidos-astra», removes restrictions on the
dimension of knowledge bases and resolution cognitive functions
2.9.
Method of cognitive function - a new research tool
CHAPTER
3: BASIC MODEL AND SIMULATION RESULTS IN ASTROSOCIOTYPOLOGY
3.1.
Sociological databases
3.2.
Simulation technology
3.3.
Method of recognition of birth cards in artificial intelligence system «eidos»
3.4.
Algorithms, classification and identification of subjects using astronomical
data at birth
3.5.
Method for separation of categories in the problem of classification and
identification of subjects using astronomical data at birth
3.5.
Classification and identification of subjects on the basis of 500 personal and
psychological categories
3.6.
Study using semantic information multi-model
3.7.
Similarity theory in sociology
CHAPTER
4: ON THE MECHANISMS OF INFLUENCE OF CELESTIAL BODIES ON HUMAN ABILITIES
4.1.
Gravitational hypothesis the influence of celestial bodies
4.2.
Gravitation and life
4.3.
Fundamental laws of recognition of social categories using astronomical data at
birth
4.4.
The role of gravity in typical enzyme reaction
4.5.
The role of gravity in reactions with hormones
CHAPTER
5: CURRENCY EXCHANGE RATE FORECASTING
5.1.
Exchange rates depending on the astronomical parameters of the solar system
celestial bodies
5.2.
Forecasting exchange rates on the basis of «eidos-astra»
5.3.
Modeling exchange rate
CHAPTER
6: EARTHQUAKE PREDICTION
6.1.
Prediction of earthquakes using the system of artificial intelligence
6.2.
Prediction of seismic activity and climate change on the basis semantic
information model
6.3.
Cognitive-systemic analysis and prediction of seismic activity
6.4.
Semantic information model of global seismic activity and geographic and
magnetic pole displacement
6.5.
Automated system-cognitive analysis of the influence of solar system bodies on
the motion of the earth pole and cognitive functions visualization
6.6.
Semantic information model of sunspot influence on seismic activity, polar
motion and earth's magnetic field
CHAPTER
7: CORRELATION INDEX S&P 500 WITH THE ASTRONOMICAL AND GEOPHYSICAL
PARAMETERS
7.1.
Information model
7.2.
Similarity parameter of category of magnitudes based index s&p 500
7.3.
Correlation index s&p 500 with the astronomical and geophysical parameters
7.5.
Impact of the global and regional natural factors on stock index s & p 500
CONCLUSION
REFERENCES
APPLICATIONS
BRIEF
DICTIONARY OF COGNITIVE ANALYSIS TERMS
We
examined methods of sociological, economic, and geophysical analysis, based on
a hypothesis about the dependence of the cyclic series of events from the time
associated with the handling of the Earth around its axis and around the sun.
To confirm this hypothesis we developed the artificial intelligence system [7].
This research has convincingly demonstrated the existence of correlations
between the position of Earth relative to celestial bodies in the solar system
and the categories that characterize set of events in sociology, economics, and
geophysics. To find statistically significant relationships were used databases
[8, 44-46, 56-57, 60-63], which was founded more than a thousand different
databases to verify the working hypotheses.
The
authors believe that based on the studies can reasonably make the main
conclusion is that there are relationships between astronomical parameters of
celestial bodies and the series of events taking place on our planet. The most significant correlation coefficients were obtained when
determining the dependence of geomagnetic field variations of the dipole
radiation of Uranus and Neptune, as well as for the dependence of the volume of
trading the S & P 500 from the geomagnetic field variations and
astronomical parameters such as longitude, latitude and distance from Earth to
Uranus and Neptune - see Fig. 180 and Table 67.
The
proposed mathematical models, algorithms, and implement their software - the
base system [36], the system environment [7, 80], its extension [66-67],
visualization of cognitive function [79], and technology of their application
provided the following results:
1.
Automatic formalization of the domain on the basis of the converted in
accordance with the proposed standard of databank and the synthesis of
multi-model consisting of tens or even hundreds of individual models.
2.
At the stage of the synthesis of multi-model:
-
Synthesis of millions of events described in the databases [8, 44-46, 56-57,
60-63], to the different categories and the formation of generalized images of
these categories;
-
Identification of dependencies (i.e., the strength and direction of impact)
between signs and their affiliation with the events of corresponding types.
3.
The testing of these particular models in the reliability of the identification
of events for a given set of categories.
4.
Identification of events in either multi-model in all categories, or in each
particular model only for those categories, which according to test particular
models are identified it with the highest reliability (high-speed detection
using a priori information on the reliability of individual models), or by
using a voting algorithm ( decision rules).
5.
The study established multi-model, in particular:
-
Displays information about the dependencies identified in the text and graphics
(pictures types of information, nonlocal neurons, portraits of semantic
features);
-
Cluster-constructive analysis of the types and characteristics;
-
System-cognitive analysis of multi-model (generation and output of semantic
networks and the types of features classic and integrated cognitive maps,
profiles and types of signs, etc.).
6.
Improving the best of created partial models by separating the types of typical
and atypical of symptoms and the formation of combinations of 2, 3, 4, 5, 6, 7
and 8 features.
7.
The authors hope that the confidence level of identification has been made in
multi-model is sufficient to, for example, astrosociotypology acquired not only
of scientific interest but also practical significance, particularly in areas
where traditionally used psychological testing, and testing the ability of the
different types of activity.
The
problem of currency rates recognition for the astronomical data in the day,
hour, minute and second bidding has been considered. Proposed solution based on
application of artificial intelligence system [7]. In the simulation we used
the database [44-46], as well as astronomical parameters of longitude and
distance from the Earth up to ten celestial bodies, as defined in topocentric
coordinate system.
In the future we plan to continue research and development in astrosociotypology - a science that can help in the development of new tools for predicting the nature and abilities of people in the modern post-industrial society based on widespread use of information technology and artificial intelligence.