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A Commanding Model of Counterwork Simulation System Based on Value Driving Decision-Making

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AsiaSim 2012 (AsiaSim 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 323))

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Abstract

A commanding model of counterwork simulation system based on value driving decision-making is proposed in this paper. The theoretical foundation of the method is Nash Equilibrium of game theory. This paper analyzes the value driving decision-making model which is based on entity’s maximum benefit and gives examples of value driving decision-making in the Counterwork Simulation System.

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References

  1. Bestavos, A.: Advances in Real-time Database Systems Research. SIGMOD Record 25(1), 221–223 (1996)

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  2. Pew, R.W., Mavor, A.S.: Modelling human and organization behavior: Application to Military Simulations, pp. 335–341. National Academic Press, Washington, D.C. (1998)

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  3. Nash, J.: No-cooperative Game, pp. 10–11 (1952)

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Author information

Authors and Affiliations

  1. Institute of Special Vehicle, No.6 Lab, No.3 Yuan, Fengtai District, Beijing, 100072, China

    Weifeng Li, Xinjun Zhao & Jiying Wang

  2. Academy of Armored Force Engineering, Fengtai District, Beijing, 100072, China

    Shuli Wang

Authors
  1. Weifeng Li
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  2. Shuli Wang
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  3. Xinjun Zhao
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  4. Jiying Wang
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Editor information

Editors and Affiliations

  1. National CIMS Engineering Research Center, Department of Automation, Tsinghua University, 100084, Beijing, China

    Tianyuan Xiao

  2. School of Automation Science and Electrical Engineering, Beihang University, 100191, Beijing, China

    Lin Zhang

  3. School of Mechatronics Engineering and Automation, Shanghai University, 200072, Shanghai, China

    Minrui Fei

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© 2012 Springer-Verlag Berlin Heidelberg

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Li, W., Wang, S., Zhao, X., Wang, J. (2012). A Commanding Model of Counterwork Simulation System Based on Value Driving Decision-Making. In: Xiao, T., Zhang, L., Fei, M. (eds) AsiaSim 2012. AsiaSim 2012. Communications in Computer and Information Science, vol 323. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34384-1_3

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  • DOI: https://doi.org/10.1007/978-3-642-34384-1_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34383-4

  • Online ISBN: 978-3-642-34384-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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