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Co-Adaptive Behavior Algorithms for Insurgent and Counter-Insurgent Techniques in Combat Simulations

机译:叛乱和反叛乱技术在战斗模拟中的自适应行为算法

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This paper proposes an overall strategy and technical approach that allows development of sophisticated behavior algorithms which model insurgent and counter-insurgent techniques in military combat simulations. This capability will allow Department of Defense force providers to estimate, in a combat model, the effects of different approaches to counter-insurgency operations, reconstruction operations, stability operations, and information operations. The overall approach proposes development of robust application programming interfaces that can be employed in several different combat simulations. In a phased strategy, technical development will first focus on task-level behaviors. It will then shift to short-term planning behaviors and long-term planning behaviors. These planning behaviors will make significant use of geospatial reasoning and course of action analysis via simulation. It will also consider civilian behaviors as they relate to supporting either the insurgents or the government security forces. Armed with these simulation capabilities, the military services will be able to make better decisions about the proper mix of forces, equipment, and tactics to provide for use in the different theaters of operation.
机译:本文提出了一种总体策略和技术方法,该方法和方法可以开发复杂的行为算法,该算法在军事作战模拟中为叛乱和反叛乱技术建模。这项功能将使国防部部队提供者可以在作战模型中估计不同方法对平叛行动,重建行动,稳定行动和信息行动的影响。总体方法建议开发可在几种不同的战斗模拟中使用的健壮的应用程序编程接口。在分阶段的策略中,技术开发将首先关注任务级别的行为。然后它将转变为短期计划行为和长期计划行为。这些计划行为将大量利用地理空间推理和通过模拟进行的行动过程分析。它还将考虑与支持叛乱分子或政府安全部队有关的平民行为。有了这些模拟功能,军事部门将能够对部队,装备和战术的适当组合做出更好的决策,以供在不同战区使用。

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