Dimensional Analysis Conceptual Modeling Supporting Adaptable Reasoning in simulation-based training

E. Coatanéa, R. Roca
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引用次数: 1

Abstract

How to measure and train for adaptability has emerged as a priority in military contexts in response to emergent threats and technologies associated with asymmetric warfare. While much research effort has attempted to characterize adaptability in terms of accuracy and response time using traditional executive function cognitive tests, it remains unclear and undefined how adaptability should be measured and thus how simulation-based training should be designed to instigate and modulate adaptable behavior and skills. Adaptable reasoning is well-exemplified in the rescue effort of Apollo 13 by NASA engineers who repurposed available materials available in the spacecraft to retrieve the astronauts safely back to earth. Military leaders have anecdotally referred to adaptability as “improvised thinking” that repurposes “blocks of knowledge” to device alternative solutions in response to changes in conditions affecting original tasks while maintaining end-state commander’s intent. We review a previous feasibility study that explored the specification of Reusable Modeling Primitives for models and simulation systems building on Dimensional Analysis and Design Structure Matrix for Complexity Management formal methods. This Dimensional Analysis Conceptual Modeling (DACM) paradigm is rooted in science and engineering critical thinking and is consistent with the stated anecdotal premises as it facilitates the objective dimensional decomposition of a problem space to guide the corresponding dimensional composition of possible solutions. Arguably, adaptability also concerns the capability to overcome contradictions, detections, and reductions, which we present in an exemplar addressing the contradiction of increased drag due to increased velocity inherent to torpedoes. We propose that the DACM paradigm may be repurposed as a critical thinking framework for teaching the identification of relevant components in a theater of military operations and how the properties of those components may be repurposed to fashion alternative solutions to tasks involving navigation, call-for-fires, line-of-sight cover, weather and atmospheric effect responses, and others.
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多维分析概念建模支持基于仿真的训练中的适应性推理
如何衡量和训练适应性已成为军事背景下应对与不对称战争相关的新威胁和技术的优先事项。虽然许多研究努力试图利用传统的执行功能认知测试从准确性和反应时间方面描述适应性,但如何衡量适应性以及如何设计基于模拟的培训以激发和调节适应性行为和技能仍然不清楚和未定义。适应性推理在阿波罗13号的救援工作中得到了很好的例证,美国宇航局的工程师们重新利用了飞船上现有的材料,将宇航员安全带回了地球。军事领导人将适应性称为“即兴思维”,即重新利用“知识块”来设计替代解决方案,以响应影响原始任务的条件变化,同时保持最终状态指挥官的意图。我们回顾了先前的可行性研究,该研究探讨了基于复杂性管理形式化方法的维度分析和设计结构矩阵的模型和仿真系统的可重用建模原语规范。这种维度分析概念建模(DACM)范式植根于科学和工程批判性思维,并且与所述的轶事前提一致,因为它促进了问题空间的客观维度分解,以指导可能解决方案的相应维度组成。可以说,适应性还涉及克服矛盾、探测和减少的能力,我们在一个例子中提出了由于鱼雷固有速度增加而增加阻力的矛盾。我们建议,DACM范式可以被重新定位为一种批判性思维框架,用于教授军事行动战区中相关组件的识别,以及这些组件的属性如何被重新定位,以形成涉及导航、呼叫射击、视线覆盖、天气和大气效应响应等任务的替代解决方案。
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