Scientific Journal of KubSAU

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

In article the main problem of management of agro industrial holding is formulated and the basic results of its solution on the basis of application of the modern automated technology of management by knowledge, i.e. systemic-cognitive analysis (SC-analysis) are shown. The technology of cognitive functions of SC-analysis, providing both revealing of knowledge from empirical data, and use of this knowledge for decision-making support of management of holding as a whole, on the basis of management of characteristics of the sub-enterprises, is examined in details

In article the parallel between the doctrine of Ancient Greek philosopher Platon about Eidoses and the sys-temic cognitive analysis (SCA) with its toolkit: Eidos system is drawn. It is shown that the SCA supposes substantial interpretation in the light of Platon's doc-trine about Eidoses. Eidos system realizes mathemat-ical model of the SCA, carries out operations of res-toration of Eidoses on the basis of their concrete rea-lizations in the form of objects, allows to estimate what realization of Eidoses the given concrete objects are, and also provides research of systems of Eidoses similar with each other (their clusters) and systems of the most various Eidoses clusters among themselves, i.e. constructs.

Methodology of using systemic cognitive analysis for building multi-level semantic information model of agro-industrial holding management is formulated in the article in general. Based on this, solutions of forecasting problems and support of decision-making process of management and scientific researches are listed

In this article application of a new method of an artificial intellect is examined: systemic-cognitive analysis and its toolkit - "Eidos" system are used for an estimation of level of nonspecific resistance of an organism of patient on the basis of the preoperative information about it received by a method of cardiorespiratory synchronism (CRS) and forecasting of duration of the postoperative rehabilitation period on this basis. The technology and a technique of cognitive structurization and subject domain formalization, and also preparation of training sample is described in detail.

Examples of setting and solving of prognosis tasks and support of decision takings (management) for agro industrial holding on the base of its two-level semantic informational model are casted.

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