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Layered Behavior Modeling via Combining Descriptive and Prescriptive Approaches: A Case Study of Infantry Company Engagement

机译:通过结合描述性和规范方法模拟分层行为建模 - 以步兵公司参与为例

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Defense modeling and simulation (DM&S) has brought insights into how to efficiently operate combat entities, such as soldiers and weapon systems. Most DM&S works have been developed to reflect accurate descriptions of military doctrines, yet these doctrines provide only guidelines of military operations, not details about how the combat entities should behave. Because such vague parts are often fulfilled with the appropriate behavior of combat entities in a battlefield, one part argues that DM&S should consider individual combat behaviors as well. However, it is known as an infeasible problem discovering best individual actions from infinite searching space, such as the battlefield. This paper proposes a layered behavior modeling to practically resolve this issue. The proposed method applies descriptive modeling to reduce the searching space by employing domain-specific knowledge; and prescriptive modeling to discover best individual actions in the reduced space. For the generalization, the proposed method adapts both modeling methods being modularized, and then the proposed method suggested an interface between them that is based on their semantic analogies. Both modeling methods are modularized, so they are interacted through an interface defined in the proposed method. This paper presents a realization of the proposed method through a case study of infantry company-level operations. In the case study, the proposed method is implemented with discrete event system specification formalism as the descriptive part and Markov decision process as the prescriptive part. The experimental results illustrated that the combat effectiveness resulted from the proposed method is statistically better than that from the descriptive-only modeling, and the difference would be guided by the objective of the combat behavior. Through the presented experimental results and the discussion, this paper argues that future DM&S should consider a broad spectrum from the battlefield incorporating the rational behavior of military individuals.
机译:防御建模和仿真(DM&S)带来了如何有效地运营战斗实体,例如士兵和武器系统。大多数DM&S作品已经制定为反映对军事学说的准确描述,但这些教义只提供了军事行动指导,而不是关于战斗实体如何表现的详情。因为这种模糊的零件经常以战斗处的战斗实体的适当行为满足,所以有一个部分认为DM&S也应该考虑个别战斗行为。然而,它被称为可行的问题,发现来自无限搜索空间的最佳单独动作,例如战场。本文提出了分层行为建模,实际上解决了这个问题。该方法采用描述性建模来通过采用特定于域的知识来减少搜索空间;并规范建模,以发现降低空间中的最佳单独行动。对于泛化,所提出的方法适应模块化的建模方法,然后该方法在基于它们的语义类比之间建立了一个接口。两个建模方法都是模块化的,因此它们通过所提出的方法中定义的接口进行交互。本文通过对步兵公司级运营的案例研究来实现提出的方法。在实例研究中,所提出的方法是用离散事件系统规范形式主义实施的,作为描述部分和马尔可夫决策过程作为规范部分。实验结果表明,该方法由所提出的方法产生的作战效果比从描述性建模的统计学更好地更好,并且差异将被战斗行为的目的引导。通过呈现的实验结果和讨论,本文认为,未来的DM&S应考虑纳入军事人员合理行为的战场上的广泛频谱。

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