Army Unit Warfare Simulation Experiment by Using Agent Technology

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The use of agent-based simulation experiment technology throughout the concept development process and simulation implementing may have a direct impact on the Army’s ability to resolve these critical force structure issues, inform the acquisition of future combat platforms, and determine the future use of new-style vehicles in an Army force. Thus, Army unit warfare simulation experiment by using agent technology is studied in this paper. The warfare task(s) expression is presented and warfare entity agent model is designed. Through an agent-based simulation experiment platform, EINSTein, the demonstration system is established and Army unit warfare simulation experiment is implemented, by which some results are obtained. Simulation experiment proves the feasibility and efficiency of our model and simulation experiment system, and shows its advantages in realizing real-time tactical warfare activities simulation.

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Advanced Materials Research (Volumes 655-657)

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2392-2396

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January 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Anita Raja, Victor Lesser. A Framework for Meta-Level Control in Multi-Agent Systems. Autonomous Agents and Multi-Agents Systems. Vol. 15, No. 2 (2007), pp.147-196.

DOI: 10.1007/s10458-006-9008-z

Google Scholar

[2] M. Wooldridge, N. R. Jennings. Intelligent Agents: Theory and Practice. The Knowledge Engineering Review. Vol. 10, No. 2 (1995), pp.115-152.

DOI: 10.1017/s0269888900008122

Google Scholar

[3] Xiong Li, Zhiming Dong. Platform-Level Distributed Warfare Model Based on Multi-Agent System Framework. Defence Science Journal. Vol. 62, No. 3 (2012), pp.180-186.

DOI: 10.14429/dsj.62.964

Google Scholar

[4] Xiong Li, Yonglong Chen, Zhiming Dong. Qualitative Description and Quantitative Optimization of Tactical Reconnaissance Agents System Organization. International Journal of Computational Intelligence Systems. Vol. 5, No. 4 (2012), pp.723-734.

DOI: 10.1080/18756891.2012.718154

Google Scholar

[5] Xiong Li, Jia Fu, Fei Dong, Zhiming Dong. Formal Information Representation for Tactical Reconnaissance System Organization Model. Studies in Informatics and Control. Vol. 21, No. 3 (2012), pp.325-332.

DOI: 10.24846/v21i3y201211

Google Scholar

[6] A. Ilachinski. Artificial War: Multiagent-Based Simulation of Combat. Singapore (World Scientific Publishing Company, 2004).

Google Scholar

[7] A. Ilachinski. Land Warfare and Complexity, Part II: An Assessment of the Applicability of Nonlinear Dynamics and Complex Systems Theory to the Study of Land Warfare (Center for Naval Analyses, Virginia, 1996).

DOI: 10.21236/ada362621

Google Scholar