Scientific Journal of KubSAU

The "Eidos" system is working well for many years of use for researches in various subject areas and activities for a number of scientific disciplines related to artificial intelligence, knowledge representation and knowledge management. However, during the operation of the system, some of the shortcomings that limit the opportunities and prospects for the application of the system have been identified. Therefore, the radically new version of the system (the system Eidos X + +) was created, which overcome the limitations and drawbacks of previous version and includes new important ideas for its development and use as a software tool in system-cognitive analysis (SC analysis)

In this article, on a small and evident numerical example, methodological aspects of a process engineering of detection of knowledge from the trial-and-error data explicitly are considered, representation of knowledge and its usage for problem solving of forecasting, decision making and data domain examination in system-cognitive analysis (SC-analysis) and its programmatic toolkit - intellectual "Eidos" system are shown

In this article, the routine of synthesis of four models of the corporation, different by frequent measure of correlation between past indexes of the factories entering into corporation and the future statuses of corporation as a whole is featured, verification of all private models with utilization of two integral measure is fabricated, forecasting of the future statuses of corporation on their system of determination is performed

In the article, the embodying of operation of integrating of systems, being generalization of operation of integrating of sets within the limits of system generalization of the theory of sets is considered. This operation is similar to bulean integrating operation of the classical theory of sets. However, unlike the classical theory of sets, the concrete algorithm of integrating of systems in its system generalization is offered and the quantitative standard system effect (synergetic, emergetic) arising with the application of integrating of systems is proved. For this standard, the unique name is offered: «The generalized coefficient of emerge by R.Hartley» because of likeness of its mathematical form to the local coefficient of emerge by Hartley, reflecting a degree of difference of system from the set of its base elements. The reference to the author's program realizing offered algorithm and providing numerical modeling of integrating of systems at various restrictions on complexity of systems and at various power of generating set is given, some effects of numerical modeling are given

The problem of forming of innovate elements of intelligence service of corporate management is dis-cussed on terms of knowledge economics. New trends and conditions of corporation’s development as reflection of economics trends are picked out. The system of measures pointed at stimulation of producing of future intelligence foundation and me-chanisms of such producing are suggested

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 cardio respiratory synchronism (CRS) and forecasting of duration of the postoperative rehabilitation period on this basis. In the 2nd part of the article it is considered: forecasting and decision support of problem solving, including shaping and an output of informational portraits of classes, worth of factors and their value for forecasting and decision making problem solving, outputs are made, outlooks are planned, hypotheses are stated

In this article application of the method of computerized system-cognitive analysis and its programmatic tooling – system "Eidoses" for detection of cause and effect associations from the trial-and-error data is considered. In the capacity of a toolkit for the formal submission of cause and effect associations cognitive functions are tendered. Cognitive functions represent many-valued interval functions of many arguments in which one various value of function in a various degree match to various value of arguments, and the quantitative standard of this correspondence appears to be the knowledge, i.e. the information about cause and effect associations in the trial-and-error data, beneficial to a goal achievement

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 cardio respiratory synchronism (CRS) and forecasting of duration of the postoperative rehabilitation period on this basis. In the 1st part of the given article it is considered: entering in a problem, the generalized structure of "Eidos" system, cognitive structurization of a data domain, data domain formalization, preparation of training sample, semantic information model synthesis, a raise of performance and verification (reliability estimation) of the given model

In the article the technology and some results of application of systemic-cognitive analysis for revealing of knowledge of consequences of errors in configuration of safety systems under report of Microsoft Baseline Security Analyzer (MBSA) and uses of this knowledge for forecasting of consequences are described

In the article the intellectual consulting system providing revealing of technological knowledge by systemic-cognitive analysis of business processes, and also decision-making support on effective application of this knowledge for the purpose of achievement of the set indicators economic-economic efficiency is described. The detailed numerical example of application of system on the basis real data of one of the Kuban firms for revealing of technological knowledge on cultivation of a winter wheat and application of this knowledge for decision-making support for choice of the definite agrotechnology, providing desirable indicators of productivity of a winter wheat, its quality, and also profit and profitability is resulted. It is offered to apply evident multilayered graphic cartographical visualization of results of forecasting of productivity of culture (and grades), qualities, profit and profitability on firm fields