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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 不详

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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