The application of applied category theory to quantify mission success

IF 1.3 4区 工程技术 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Simulation-Transactions of the Society for Modeling and Simulation International Pub Date : 2022-08-05 DOI:10.1177/00375497221114861
R. Garrett, James P. Fairbanks, M. Loper, James D. Moreland
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引用次数: 1

Abstract

Mission engineering is the quantification of the effects applied by a system of systems to achieve measurable desired results. The execution of the mission is defined by a mission thread; that is the sequence of actions/processes executed by elemental systems. The domain of complex missions has been described as “wicked” because traditional military and space program-based systems engineering practices fail due to a lack of discrete phases, a dependence on context, and the non-uniqueness of a “good-enough” mission thread. Wicked problems also tend to be unstructured (non-hierarchical) with no centralized control and do not lend themselves to linear step-by-step processes. Wicked problems are inherently uncertain leading to the broader issue of trust across a mission knowledge base, and any mission level analyses. Wicked problems are also characterized and challenged by combinatoric complexity. Mission success is primarily driven by the interrelationships between systems and not just by the individual systems themselves. The success of mission engineering will require an iterative approach of modeling, simulation, and analysis resulting in a continuous reduction in uncertainty and refinement in the topology of the mission thread. OODA-based decomposition of mission threads focused on Boyd’s Orient function provides focus on system interrelationships. Trust provides decision-maker confidence in the results that has proved elusive to traditional validation approaches. The approach described in this paper is based upon using applied category theory as a basis for building mission threads, mission models, data stores, and integrating simulation ensembles.
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应用范畴理论量化任务成功
任务工程是对一个系统的系统所应用的效果进行量化,以达到可测量的预期结果。任务的执行由任务线程定义;这是由基本系统执行的动作/过程的序列。复杂任务领域被描述为“邪恶的”,因为传统的基于军事和空间计划的系统工程实践由于缺乏离散阶段,对环境的依赖以及“足够好”的任务线程的非唯一性而失败。棘手的问题往往是非结构化的(非分层的),没有集中控制,也不适合线性的逐步过程。邪恶的问题本质上是不确定的,会导致跨任务知识库和任何任务级别分析的更广泛的信任问题。邪恶的问题也具有组合复杂性的特征和挑战。任务的成功主要是由系统之间的相互关系驱动的,而不仅仅是单个系统本身。任务工程的成功将需要建模、仿真和分析的迭代方法,从而不断减少不确定性并改进任务线程的拓扑结构。基于ooda的任务线程分解侧重于Boyd的Orient函数,提供了对系统相互关系的关注。信任为决策者提供了对传统验证方法难以捉摸的结果的信心。本文所描述的方法是基于应用范畴论作为构建任务线程、任务模型、数据存储和集成仿真集成的基础。
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来源期刊
CiteScore
3.50
自引率
31.20%
发文量
60
审稿时长
3 months
期刊介绍: SIMULATION is a peer-reviewed journal, which covers subjects including the modelling and simulation of: computer networking and communications, high performance computers, real-time systems, mobile and intelligent agents, simulation software, and language design, system engineering and design, aerospace, traffic systems, microelectronics, robotics, mechatronics, and air traffic and chemistry, physics, biology, medicine, biomedicine, sociology, and cognition.
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