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SYSTEM - DYNAMIC MODELLING IN MODERN RUSSIA

机译:系统-现代俄罗斯的动态建模

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The significant results within the framework of system dynamics are achieved now in manycountries. In Russia, for example, the tools of system dynamics is successfully applied to economic,social and ecological problems in some universities of economic orientation, including theEconomic Faculty of M.V. Lomonosov Moscow State University, S. Ordzhonikidze StateUniversity of Management (Moscow), G.V. Plekhanov Russian Academy of Economics (Moscow),Academy of National Economy under the Russian Government (Moscow), Moscow StateUniversity of Economics, Statistics and Informatics, Far East State University, Baikal Institute ofEnvironmental Management of the Siberian Branch of the Russian Academy of Sciences etc.Besides the system dynamic tools are applied as important part of constituting situational centers insome Russian companies.Alongside with the known international means of the visual modeling which were widespreadin 90th. of XX centuries, such as Vensim (Ventana Systems, USA); Powersim (Powersim AS,Norway); Process Charter (Scitor, USA); Ithink (Stella) (High Performance Systems, USA); ExtendBPR (Imagine That!, USA); ReThink (Gensym, USA), Simulink (Math Works, USA) etc., thefollowing domestic means of visual modeling also were widespread in Russia: IMITAK (SUM,Moscow), FEYA (RAE, Moscow); PODSIM, RDO (Bauman Moscow State Technical University),DSIM (ENIMS, Moscow), PETRIS (Penza State University), STRATUM (Stratum ModelingGroup, Perm); Pilgrim-2.1 (Megathrone, Russia; Keisy, Netherlands; EnitAS, Estonia) etc. Besidesthe following CASE-tools have widespread enough in Russia: BPWin and ERWin (PlatinumTechnology/Logic Works, USA), Designer/2000 (Oracle, USA); ARIS (IDS AG, Germany); SAPR/3 (SAP AG, Germany), Case Analitic (MacroProject, Moscow) etc.Nevertheless, in many "classical" languages of visual system dynamic modeling now there areno the means, allowing to analyze spatially distributed data, and also to investigate the optimumcontrol models (for example, Ramsey and others macroeconomic models of endogenous growth),for which it is important to find the program control trajectory and the appropriate trajectories forthe variables describing state of the system. In technical languages of simulating modeling theselimitations are overcome by programming necessary tools of the data and models analysis by meansof high level programming languages, however, this way is not accessible to many humanitarianexperts (such as economists, sociologists etc.). Therefore the decision of such problems with use ofvisual means of system dynamic modeling is more perspective. So the Moscow State Universitygroup of scientists under supervision of Vladimir Sidorenko created in 2000-2001 the educationalversion of software, which allows to design and analyze the system dynamic models with spatialdynamics and also to solve a set of problems connected with the optimum control theory (search ofprogram control etc.) and games theory (search of game balance etc.). Some of the ideas wereimplemented into the GIS and system dynamics simulator "ECONET", which was presented inISAGA-2000 Conference. The software is successfully used now within the following courses:"System dynamics", "Mathematical models in environmental economy", "Application of nonlineardynamics tools and intellectual information technologies in economy".
机译:现在,许多系统都在系统动力学框架内取得了重大成果。 国家。例如在俄罗斯,系统动力学工具已成功应用于经济, 一些经济导向型大学的社会和生态问题,包括 M.V.经济学院罗蒙诺索夫国立莫斯科大学 管理大学(莫斯科)普列汉诺夫俄罗斯经济研究院(莫斯科), 俄罗斯政府(莫斯科)国家经济研究院,莫斯科州 远东国立大学经济,统计和信息大学,贝加尔湖学院 俄罗斯科学院西伯利亚分院的环境管理等 此外,系统动态工具被用作构成情境中心的重要组成部分。 一些俄罗斯公司。 除了广泛使用的已知的视觉建模国际手段外 在第90位。二十世纪,例如Vensim(美国,Ventana Systems); Powersim(Powersim AS, 挪威);流程章程(美国,Scitor); Ithink(Stella)(高性能系统,美国);延长 BPR(Imagine That !, USA); ReThink(美国Gensym),Simulink(美国Math Works)等, 以下的国内可视化建模方法在俄罗斯也很普遍:IMITAK(SUM, 莫斯科),FEYA(RAE,莫斯科); PODSIM,RDO(鲍曼莫斯科国立技术大学), DSIM(ENIMS,莫斯科),PETRIS(奔萨州立大学),STRATUM(策略建模) 组,彼尔姆); Pilgrim-2.1(俄罗斯,Megathrone;荷兰的Keisy;爱沙尼亚的EnitAS)等 以下CASE工具在俄罗斯已经足够普及:BPWin和ERWin(白金 技术/逻辑工程,美国),设计师/ 2000(美国,甲骨文); ARIS(德国IDS AG);树液 R / 3(德国SAP AG),Case Analitic(MacroProject,莫斯科)等。 但是,在视觉系统动态建模的许多“经典”语言中,现在有 没有手段,允许分析空间分布的数据,并研究最佳 控制模型(例如,Ramsey和其他有关内生增长的宏观经济模型), 为此,重要的是找到程序控制轨迹和合适的轨迹 描述系统状态的变量。用模拟建模的技术语言,这些 通过编程数据和模型分析的必要工具克服了局限性 的高级编程语言,但是,许多人道主义人员无法使用这种方式 专家(例如经济学家,社会学家等)。因此,使用 可视化的系统动态建模手段更具视角。因此,莫斯科国立大学 弗拉基米尔·西多连科(Vladimir Sidorenko)监督下的一组科学家于2000年至2001年创建了教育 版本的软件,允许设计和分析具有空间的系统动态模型 动力学,并解决与最佳控制理论有关的一系列问题( 程序控制等)和博弈论(搜索博弈平衡等)。有些想法是 实施到GIS和系统动力学模拟器“ E​​CONET”中,该模拟器在 ISAGA-2000会议。该软件现已在以下课程中成功使用: “系统动力学”,“环境经济中的数学模型”,“非线性的应用 动力工具和经济中的智能信息技术”。

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