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Key Issues of Military Simulation and Analysis System

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Abstract

Military complex system is a hotspot of current operational research. Due to the non-reproducibility of complex system and various complexity, traditional observation, experiment and other methods cannot effectively carry out the research, while simulation technology has become an important means of delving into complex systems. This paper describes our concept of military simulation and analysis system (MSAS), and how this system provides more accurate analysis and forecast methods to achieve better credibility of the results, aiding decide-making and reducing the decide risk for military complex system. The key issues of MSAS are discussed, especially system infrastructure, military model infrastructure and data. The paper then presents some observations and areas for further research.

Project funded by China Postdoctoral Science Foundation No. 2016M602962.

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References

  1. Roßmann, J., Schluse, M., Rast, M., et al.: Architecture for integrated development of complex systems with model-based system specification and simulation. In: ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (2015)

    Google Scholar 

  2. Aziza, R., Borgi, A., Zgaya, H., et al.: Simulating complex systems - complex system theories, their behavioural characteristics and their simulation. In: International Conference on Agents and Artificial Intelligence, pp. 298–305 (2016)

    Google Scholar 

  3. Mcclernon, C.K., Finomore, V.S., Andre, T.S., et al.: Evaluation of digital checklists for command and control operations. In: Human Factors and Ergonomics Society Meeting. SAGE Publications (2016)

    Google Scholar 

  4. Moffat, J., Campbell, I., Glover, P.: Validation of the mission-based approach to representing command and control in simulation models of conflict. Defense and Security, OR, pp. 340–349 (2015)

    Google Scholar 

  5. Pullen, J.M., Hieb, M.R., et al.: Evaluating the proposed coalition battle management language standard as a basis for enhanced C2 to M&S interoperability (2007)

    Google Scholar 

  6. Tolk, A., Turnitsa, C.D., Diallo, S.Y., et al.: Composable M&S web services for net-centric applications. J. Diagn. Med. Sonography 3(1), 27–44 (2006)

    Google Scholar 

  7. Tolk, A., Bair, L.J., Diallo, S.Y.: Supporting network enabled capability by extending the levels of conceptual interoperability model to an interoperability maturity model. J. Defense Model. Simul. 10(2), 145–160 (2013)

    Article  Google Scholar 

  8. Douglas, C.C., Loader, R.A., Beezley, J.D., et al.: DDDAS approaches to wildland fire modeling and contaminant tracking. In: Winter Simulation Conference, pp. 2117–2124. IEEE Computer Society (2006)

    Google Scholar 

  9. Jian, S., Shengen, Z., Haohua, X.: Research on automatic generation for military message from simulation data based on template. In: Proceedings of 14th Chinese Conference on System Simulation Technology and Application (CCSSTA 2012), pp. 425–429. China Automatic Society, Sanya (2012)

    Google Scholar 

  10. Pullen, J., Corner, D., Gustavsson, P., Grönkvist, M.: Incorporating C2-simulation interoperability services into an operational C2 system. In: International Command and Control Research and Technology Symposium, Alexandria, VA (2013)

    Google Scholar 

  11. Ulicny, B., Matheus, C.J., Powell, G., Dionne, R., Kokar, M.M.: The representability of METT-TC factors in JC3IEDM. In: Twelfth International Command and Control Research and Technology Symposium, ICCRTS, USA, pp. 368–379, June 2007

    Google Scholar 

  12. Heffner, K., Blais, C., Gupton, K.: Strategies for alignment and convergence of C-BML and MSDL. In: IEEE Fall 2012 Simulation Interoperability Workshop, Orlando, FY (2012)

    Google Scholar 

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Correspondence to Xinye Zhao .

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Wang, Y., Wang, H., Zhao, X., Huang, K., Liang, H. (2018). Key Issues of Military Simulation and Analysis System. In: Park, J., Loia, V., Yi, G., Sung, Y. (eds) Advances in Computer Science and Ubiquitous Computing. CUTE CSA 2017 2017. Lecture Notes in Electrical Engineering, vol 474. Springer, Singapore. https://doi.org/10.1007/978-981-10-7605-3_107

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  • DOI: https://doi.org/10.1007/978-981-10-7605-3_107

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7604-6

  • Online ISBN: 978-981-10-7605-3

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