Name
Trunev Aleksandr Petrovich
Scholastic degree
•
Academic rank
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Honorary rank
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Organization, job position
A&E Trounev IT Consulting, Toronto, Canada
Web site url
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Articles count: 125
The new methods for system-cognitive analysis to identify and present graphical visualization of causal functions from the large dimension empirical data and its software tools - «EIDOS» system are discussed.
We study the correlation between the stock index S & P 500 with the parameters of seismic activity, the position of celestial bodies and shifts the geographic and magnetic poles
The events recognition problem in the field of central forces is discussed in the article. The currency forecast model based on the astronomical data is developed
Dependence of seismic activity parameters on celestial bodies’ positions and geographical and magnetic poles displacement is examined on the basis of semantic information models
In the article the results of investigating the information properties of the celestial bodies of the solar system and its influence on the social choice of subjects are described. The reaction of each subject to the position of the celestial bodies of the solar system at the moment of birth was recorded and was processed for this. Each subject reacted via selection of one or several of 37 social categories, which composes totally 86314 cases. By applying artificial intelligence and statistical processing technologies discovered, that the parameter of the dispersion of the information of the signs of celestial bodies depends on the distance to the celestial bodies. The basic laws that describe the reaction of the group of subjects on the effects of gravitational fields of celestial bodies.
Dependence of seismic activity parameters on celestial bodies’ positions is examined on the basis of semantic information models
Results of computational experiments on increasing
of semantic information models adequacy with
different sets of astrosigns by means of separation
of generalized social categories (astrosociotypes) on typical and atypical parts are casted in the article.
In the article the method and the results of investigating the information properties of the celestial bodies of the solar system are described. Is proposed the new for contemporary astronomy tool of knowledge, which includes intellectual information technology and the multichannel receiver distributed in the space and time, as which were used 20007 subjects. This allowed to open and to begin a study the new previously unknown phenomena of nature. It is in particular established that interaction of the group of subjects with the space environment has substantive nature. The reaction of each subject to the position of the celestial bodies of the solar system at the moment of birth was recorded and was processed for this. Each subject reacted via selection of one or several of 37 social categories, which composes totally 86314 cases. By statistical processing discovered, that the parameter of the dispersion of the information of the signs of celestial bodies (integral informativeness) depends on position of an ascendant - degree of the solar zodiac ascending in the east at the moment of a birth, and it depends on the distance to the celestial bodies as well. The mechanisms of the influence of celestial bodies on the group of subjects are discussed.
Main scientific results, which were received in 2007 under creation and investigation of semantic
information multi mode, providing as detection
of dependence between astro signs and accessory
of respondents to generalized social categories as
a use of knowledge of these dependences for
identification of respondents by these categories
are casted in the article. Multi model includes
172 private models on 37 generalized categories
and each of categories is presented less than
1000 respondents under general fetch capacity
of 20007 respondents. It was applied the method
of systemic- cognitive analysis, which is considered
as one of the universal variants of decision of
thirteen problem of Gilbert in practice ( theoretically this problem has been done in the theorem of
A.N. Kolmogorova, which is a generalization
of theorem V.I. Arnold ( 1957) under it.
The cognitive simulation of AstroDatabank records
by using the Artificial Intelligence System – AIDOS
is reviewed in this paper. The technology
of simulation is described and the mostly
important results are discussed.