A composable modeling framework for weapon systems effectiveness simulation

LEI Yong-lin, LI Qun, YANG Feng, WANG Wei-ping, ZHU Yi-fan

Systems Engineering - Theory & Practice ›› 2013, Vol. 33 ›› Issue (11) : 2954-2966.

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Systems Engineering - Theory & Practice ›› 2013, Vol. 33 ›› Issue (11) : 2954-2966. DOI: 10.12011/1000-6788(2013)11-2954

A composable modeling framework for weapon systems effectiveness simulation

  • LEI Yong-lin, LI Qun, YANG Feng, WANG Wei-ping, ZHU Yi-fan
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Abstract

Weapon systems effectiveness simulation (WESS) is a special kind of complex system simulation. There are not only much potential for composable modeling, but also urgent demands for composable simulation in WESS domain. Current approaches toward simulation composability e.g. unified simulation protocols, unified modeling methodologies, unified model specifications and so on, are mostly put forward from a technological perspective with lots of application domain specific knowledge left alone. Consequently, the true composability aim is far from fulfilled. In this research, the pivot of composability is put on the model architecture of a simulation application. By ways of pre-implementing the domain invariable knowledge (DIK) as a composable domain specific modeling framework, simulation application development is simplified as representing application variable knowledge (AVK) via customizing or extending the domain specific modeling framework. Along this approach, a composable modeling framework (CMF) for WESS domain is developed. The successful applications of CMF show its effectiveness on improving simulation development efficiency and model composability.

Key words

weapon systems effectiveness simulation (WESS) / simulation composability / composable modeling framework / simulation model portability standards 2 (SMP2)

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LEI Yong-lin , LI Qun , YANG Feng , WANG Wei-ping , ZHU Yi-fan. A composable modeling framework for weapon systems effectiveness simulation. Systems Engineering - Theory & Practice, 2013, 33(11): 2954-2966 https://doi.org/10.12011/1000-6788(2013)11-2954

References

[1] Davis P K, Anderson R H. Improving the composability of DoD models and simulations[Z]. RAND, National Defense Research Institute, Santa Monica, CA, 2003.
[2] Tolk A, Turnitsa C, Diallo S. Implied ontological representation within the levels of conceptual interoperability model[J]. Intelligent Decision Technologies, 2008, 2(1): 3-19.
[3] 雷永林, 苏年乐, 李竞杰, 等. 新型仿真模型规范SMP2及其关键应用技术[J]. 系统工程理论与实践, 2010, 30(5): 899-908.Lei Y L, Su N L, Li J J, et al. New simulation model representation specification SMP2 and its key application techniques[J]. Systems Engineering — Theory & Practice, 2010, 30(5): 899-908.
[4] 李群, 雷永林, 侯洪涛, 等. 仿真模型可移植性规范及其应用[M]. 北京:电子工业出版社, 2010.Li Q, Lei Y L, Hou H T, et al. Simulation model portability specification and its applications[M]. Beijing: Publishing House of Electronics Industry, 2010.
[5] Brooks F P. No silver bullet — Essence and accident in software engineering[C]//Proceedings of the IFIP Tenth World Computing Conference, 1986: 1069-1076.
[6] Moller B, Morse K L, Lightner M, et al. HLA evolved — A summary of major technical improvements[C]//Fall Simulation Interoperability Workshop, Simulation Interoperability Standards Organization, 2008.
[7] Sebastiao N, Di Nisio N. ECSS E-40-07 — A new standard for simulation model portability and its implementation in SIMULUS[Z]. 2008.
[8] 李春亮, 雷永林, 张伟, 等. 基于UML的SMP2模型集成方法研究[J]. 系统仿真学报, 2009, 21(21): 6755-6759.Li C L, Lei Y L, Zhang W, et al. UML-based SMP2 model integration approach[J]. Journal of System Simulation, 2009, 21(21): 6755-6759.
[9] Zacharias G L, Mac Millan J, Van Hemel S B. Behavioral modeling and simulation: From individuals to societies[M]. National Academies Press, 2008.
[10] Dawson M. Python programming for the absolute beginner[M]. Premier Press, 2003.
[11] Vangheluwe H, De Lara J, Mosterman P J. An introduction to multi-paradigm modelling and simulation[C]//Proceedings of the AIS'02 Conference (AI, Simulation and Planning in High Autonomy Systems), 2002: 9-20.
[12] 雷永林, 李小波, 李群, 等. 基于SMP2的复杂系统生成式仿真建模方法研究[J]. 系统工程理论与实践, 2012, 32(5): 1107-1117.Lei Y L, Li X B, Li Q, et al. SMP2 based generative modeling method for complex system simulation[J]. Systems Engineering — Theory & Practice, 2012, 32(5): 1107-1117.
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