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Semantic model and optimization of creative processes at mathematical knowledge formation

Natural Science 2010年第8期2卷 915-922页

作者： Victor Egorovitch Firstov Department of Mechanics and Mathematics Saratov State University

The aim of this work is mathematical education through the knowledge system and mathematical modeling. A net model of formation of mathematical knowledge as a deductive theory is suggested here. Within this model the formation of deductive theory is represented as the development of a certain informational space, the elements of which are structured in the form of the orientated semantic net. This net is properly metrized and characterized by a certain system of coverings. It allows injecting net optimization parameters, regulating qualitative aspects of knowledge system under consideration. To regulate the creative processes of the formation and realization of mathematical know- edge, stochastic model of formation deductive theory is suggested here in the form of branching Markovian process, which is realized in the corresponding informational space as a semantic net. According to this stochastic model we can get correct foundation of criterion of optimization creative processes that leads to “great main points” strategy (GMP-strategy) in the process of realization of the effective control in the research work in the sphere of mathematics and its applications.

关键词： The cybernetic Conception Optimization of Control Quantitative And Qualitative Information Measures Modelling Intellectual Systems Neural Network Mathematical Education The Control of Pedagogical Processes Creative Pedagogics Cognitive And Creative Processes Informal Axiomatic Thery Semantic Net Net Optimization Parameters The Topology of Semantic Net Metrization The System of Coverings Stochastic Model of Creative Processes At The Formation of Mathematical Knowledge Branching Markovian Process Great Main Points Strategy (GMP-Strategy) of The Creative Processes Control Interdisciplinary Learning: Colorimetric Barycenter

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A Dynamic Model of Degradation of Air Systems in Conflict

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Journal of Mechanics Engineering and Automation 2013年第7期3卷 453-457页

作者： Eduardo Fogliato Ricardo Tomas Ferreyra Facultad de Ingenieria lnstituto Universitario Aerondutico Cordoba CP 5010 Argentina Facultad de Ciencias Exactas Fisicas y Naturales Universidad Nacional de Cordoba Cordoba CP 5000 Argentina

In the evaluation of the necessary measurement of aeronautical means to face to a certain military operative problem, the development of an appropriate tool is of importance. Conventional techniques are considered inadequate in the analysis of military operative problems in presence of a self-attrition behavior from one of the involved parts. In this paper a traditional algorithm for measuring military power is implemented and analyzed and then we improve this traditional algorithm on the basis of the kind of degradation that systematically takes place in self-destructive systems. In terms of traditional analysis, the evolution of a war is essentially an unreal sequence of repetitive cycles. So a time-dependent function was introduced in improved the algorithm. The development of this tool of prediction has the aim to argue the management of taking decisions in this type of crisis and complements itself with historical arguments or references of rigor. A computer software show results that allows to estimate the costs of the support and to visualize the graphs associated with the degradation of the system and his temporary evolution. The improved algorithm is more suitable than the traditional one in software simulations.

关键词： Attrition warfare restoration cybernetic balance and degradation.

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