Course of Action Generation Using Graph Model for Conflict Resolution

Yuming Huang, Bingfeng Ge, Bin Zhao, Kewei Yang
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Abstract

With the continuous emergence of military technology and equipment, the increasing complexity of combat system-of-systems (SoS) has put forward great challenges to course of action (COA) generation. How to generate COAs quickly in a constantly changing battlefield environment to help stakeholders achieve the desired battlefield situation has become the focus of operation planning. In this paper, a novel approach based on the graph model for conflict resolution (GMCR) methodology is presented to cope with COA generation under antagonistic context. More specifically, an interactive decision analysis procedure is first proposed to promote action selections at strategic level considering the possible counters of enemy. Then, the modeling and analysis of COA generation in line with GMCR specifications are formally introduced to facilitate the identification of potential outcomes among stakeholders having diverse missions and decision styles. This approach is capable of predicting the possible COAs and the likely acceptable final states. Finally, the approach proposed in this paper is verified using an illustrative example.
用图模型生成冲突解决的行动过程
随着军事技术装备的不断涌现,作战系统的复杂性不断提高,对行动方针的生成提出了巨大的挑战。如何在不断变化的战场环境中快速生成coa,帮助利益相关者实现理想的战场态势,已成为作战规划的重点。本文提出了一种基于冲突解决图模型(GMCR)方法的对抗情境下COA生成的新方法。更具体地说,首先提出了一种交互式决策分析程序,以促进在考虑敌人可能反击的战略层面上的行动选择。然后,正式介绍了符合GMCR规范的COA生成的建模和分析,以促进具有不同任务和决策风格的利益相关者之间潜在结果的识别。这种方法能够预测可能的coa和可能的可接受的最终状态。最后,通过实例验证了本文提出的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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