Abstract
To solve the big traffic problem caused by centralized environment model in the Simulation Platform of Military-intelligent-UUV based on MAS (SPMM), proposed a distributed environment model, extracted the environmental elements for concept modeling by taking the environment as an intelligent and dynamic object, designed the operation system structure of the distributed environment model, and advanced a method that combined the distributed environment with interest management. The simulation verified that the method can effectively reduce the traffic between UUV and the environment, and help keeping the space consistency. The research provided technical support for SPMM.
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References
Uhrmacher, A., Gugler, K.: Distributed, Parallel simulation of multiple, deliberative agents. In: Proceedings of Parallel and Distributed Simulation Conference (PADS), pp. 101–110 (2000)
Ye, C.-Q.: Research on Key Techniques of Multi-agent Platform for Distributed Simulation of Complex System. National University of Defense Technology, 36–40 (2006)
Kang, X.-D., Li, Y.-P.: A Kind of Virtual Implementation Method of Ocean Temperature and Salinity. J. Computer Simulation 27(5), 239–242 (2010)
Yang, Z.-M., Si, G.-Y., Li, Z.-Q., Zhang, F.: ARE: New Conceptual Model for Social Crowd Behavior Modeling. Journal of System Simulation 24(2), 435–440 (2012)
Morse, K.L.: An Adaptive, Distributed Algorithm for Interest Management. University of California, USA (2000)
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© 2012 Springer-Verlag Berlin Heidelberg
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Wang, S., Kang, F., Yang, H., Han, H. (2012). Research on the Distributed Environment Module of SPMM. In: Xiao, T., Zhang, L., Ma, S. (eds) System Simulation and Scientific Computing. ICSC 2012. Communications in Computer and Information Science, vol 327. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34396-4_47
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DOI: https://doi.org/10.1007/978-3-642-34396-4_47
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34395-7
Online ISBN: 978-3-642-34396-4
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