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平行系统的人工环境构建技术 被引量:11

Artificial Environment Construction Technology of Parallel System
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摘要 人工环境是平行系统的重要组成,特别是人工社会、智能模型、计算实验的基础支持。通过数据、模型描述和表示真实环境,通过传感和信息网络和动态演化逼近真实环境,通过高性能并行计算和接口标准为人工社会、计算实验和平行执行提供动态、准确、可信的环境信息和计算支持,是人工环境最本质的技术内涵。以数据和模型为中心,以并行计算技术和设施为支撑,通过传感器网络和信息网络进行动态演化,是构建人工环境的基础、有效方法。通过分析,指出人工环境构建的关键技术包括多表示/多分辨率技术、基于模型的动态环境技术、多源数据驱动的演化技术、高性能并行计算技术,同时提出了相应的技术思路和方案。 Parallel system is a new kind of theory,methodology and technology for analysis and research of complex systems.Artificial environment is an important part of parallel system and the fundamental support for artificial society,intelligent models and computational experiments.The technical essential of artificial environment is to represent the real environment through data and model,to approximate the real environment through sensor and information network and dynamic evolution,to provide dynamic,accurate and accredit environment information and computation support through high performance parallel computing and interface standard for artificial environment,computational experiments and parallel execution.The approach based on data and model and with the support of parallel computing technology and infrastructure and dynamic evolution through sensor and information network is a fundamental and effective method of constructing artificial environment.It is revealed through analysis that the key technologies of constructing artificial environment include multi-representation and multi-resolution,dynamic environment based on model,evolution through multi-source data driven,high performance parallel computing and also the corresponding technical solutions are proposed.
出处 《系统仿真学报》 CAS CSCD 北大核心 2011年第8期1686-1690,共5页 Journal of System Simulation
基金 国家自然科学基金(91024030)
关键词 平行系统 人工环境 多表示 多分辨率 演化 计算实验 parallel system artificial environment multi-representation multi-resolution evolution computational experiments
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  • 1王飞跃.平行系统方法与复杂系统的管理和控制[J].控制与决策,2004,19(5):485-489. 被引量:319
  • 2王飞跃.计算实验方法与复杂系统行为分析和决策评估[J].系统仿真学报,2004,16(5):893-897. 被引量:147
  • 3王飞跃.关于复杂系统研究的计算理论与方法[J].中国基础科学,2004,6(5):3-10. 被引量:97
  • 4曹慕昆,冯玉强.基于多Agent计算机仿真实验平台Swarm的综述[J].计算机应用研究,2005,22(9):1-3. 被引量:18
  • 5玻恩 李宝恒译.我的一生和我的观点[M].北京:商务印书馆,1979..
  • 6NSF Workshop. Dynamic Data Driven Application Systems, NSF Workshop Report, March 2000 [R/OL]. (2006-2) [2006-8]. www.cise.nsf.gov/dddas.
  • 7Craig C. Douglas. 2006 DDDAS and Environmental Problems Workshop [EB/OL]. (2006-8) [2007-4]. www.cise.nsf.gov/dddas
  • 8Frederica Darema, Mario Rotea, Marvin Goldberg. NSF 05-570, National Science Foundation [R/OL]. (2005-6) [2006-8]. www.ns f.gov/cise/cns.
  • 9Marianela Garcia Lozano, Farzad Karmrani, Farshad Moradi. Symbiotic Simulation (S2) Based Decision Support (ISSN-1650-1942, Feb. 2006) [R]. Stockholm, Sweden: FOI, Defense Research Agency, 2006: 3-6.
  • 10C Kennedy, G Theodoropoulos. Intelligent Management of Data Driven Simulations to Support Model Building in the Social Sciences [C]//Proc. of the Workshop on Dynamic Data-Driven Applications Simulation 2006(DDDAS 2006), Reading, UK, May 2006, LNCS 3993. Germany: Springer-Verlag Berlin Heidelberg, May 2006: 562-569.

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