Force Transformation requires a much greater emphasis on testing joint warfighting capabilities. A unique challenge in assessing the effectiveness and suitability of systems in the joint environment is the multitude o...
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Force Transformation requires a much greater emphasis on testing joint warfighting capabilities. A unique challenge in assessing the effectiveness and suitability of systems in the joint environment is the multitude of possible interactions and outcomes in a system-of-systems construct. Because of resource constraints and the complexity of conducting live, virtual, and constructive testing in a joint mission environment, the Joint Test and Evaluation Methodology (JTEM) program is interested in determining if analytical techniques, like modeling and simulation, can be applied to understand the relationship between system- of-systems performance and joint mission effectiveness. As a proof of concept, a Network Enabled Weapon (NEW) was chosen as a framework for this study. This thesis uses an agent-based distillation, which is a type of computer simulation, to model the critical factors of interest in a NEW engagement without explicitly modeling all of the physical details. Using cutting-edge experimental design techniques, the computer model was run many tens of thousands of times, with the results being analyzed to determine the critical parameters required for mission success. The analysis determined key interactions in NEW system performance and provides JTEM with a framework for efficiently conducting testing in a live environment. Specifically, the results indicate sensor range of a third-party ground controller, target speed, NEW impact radius, and weapon accuracy as the key factors affecting system performance.
Every weapon system operates in context with one or more system of systems (SoS). Generally, it is the SoS that provides warfighting capability. However, each system is managed independently by a program office with p...
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Every weapon system operates in context with one or more system of systems (SoS). Generally, it is the SoS that provides warfighting capability. However, each system is managed independently by a program office with program-centric priorities: requirements, funding and schedule. As needed, these systems must be interconnected and interoperable, so the program office must collaborate across the SoS with other program offices. Thus, the SoS and the constituent systems are always changing and evolving, triggered by users needs, new threats and various stakeholders demands. Acquisition program offices can be characterized with a set of inherent organizational behaviors that respond to the environment, are influenced by the SoS architecture, and can be described by their fitness and contribution to the SoS. Using Geert Hofstede's cultural dimensions, integrated with a modified version of the Bak- Sneppen biological evolutionary model, this research highlights which set of behaviors are significant in affecting the overall SoS fitness. Through the use of agentbasedmodeling, it was determined that the organizational behaviors of willingness and ability were significant factors to predict local fitness with a correlation of 0.548 and 0.535 respectively. Using these factors with local fitness, a regression model was built to better predict the local fitness of the system. Global fitness was highly dependent on the influence from connected systems, which surprisingly remained highly stable throughout different modeling variations in learning strategies, prior fitness contribution, trigger types, selection percentage, and fitness degradation efforts. This first-of-its-kind research provides a starting point into complex integration of organizational behavior and SoS architecture and their impact on acquiring and delivering warfighter capabilities.
Although many meta-heuristic algorithms were developed for solving combinatorial optimization problems, very few of them were realized in an agentbased environment. Especially the algorithms which model dynamics of A...
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Although many meta-heuristic algorithms were developed for solving combinatorial optimization problems, very few of them were realized in an agentbased environment. Especially the algorithms which model dynamics of Artificial Immune Systems (AIS) are population based approaches with adaptability characteristics, therefore AIS can be better realized in an agentbasedmodeling environment. For this purpose first time in the literature a clonal selection algorithm which is an AIS based algorithm is modeled in a multi-agent environment for solving the travelling salesmen problem which is a combinatorial optimization problem. In order to observe the behavior of the algorithm, simulation experiments are carried out on several test problems. Netlogo software is utilized for developing agentbased models and simulation tests. Moreover, receptor change process and crossover mechanisms are integrated into the proposed model in order to improve the performance of the classical clonal selection algorithm. It is shown that there is a high potential to obtain good solution by making use of agent oriented approaches which more realistically model the natural phenomenon.
In healthcare environments we can find several microorganisms causing nosocomial infection, and of which one of the most common and most dangerous is Methicillin-resistant Staphylococcus Aureus. Its presence can lead ...
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In healthcare environments we can find several microorganisms causing nosocomial infection, and of which one of the most common and most dangerous is Methicillin-resistant Staphylococcus Aureus. Its presence can lead to serious complications to the *** work uses agent based modeling and simulation techniques to build the model and the simulation of Methicillin-resistant Staphylococcus Aureus contact transmission in emergency departments. The simulator allows us to build virtual scenarios with the aim of understanding the phenomenon of MRSA transmission and the potential impact of the implementation of different measures in propagation rates.
目的:比较国内外agent行为建模与仿真研究热点与趋势,为我国研究者更有效地应用agent行为建模与仿真提供参考依据。方法:运用CiteSpace5.7R5软件对中国知网和Web of Science核心合集数据库2011年1月1日至2021年3月31日中有关agent行为...
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目的:比较国内外agent行为建模与仿真研究热点与趋势,为我国研究者更有效地应用agent行为建模与仿真提供参考依据。方法:运用CiteSpace5.7R5软件对中国知网和Web of Science核心合集数据库2011年1月1日至2021年3月31日中有关agent行为建模与仿真研究的文献进行图谱量化分析。结果:共检索到有效中文文献864篇、英文文献2323篇,国内发文量整体呈下降趋势,国外发文量整体呈上升趋势,发文量高的国家集中在发达国家,国外研究前沿已经延伸到物理学、金融学、哲学、生物学、物流学、人工智能等方面。国内研究热点主要集中在社会学、物理学、网络模型等方面。结论:agent行为建模与仿真研究的应用范围较广泛,与国际相比国内agent行为建模与仿真研究还存在一定的差距,研究深度和广度有待进一步拓展,国内应参考国际agent行为建模与仿真研究的热点及前沿,探索适合我国特色的agent行为建模与仿真系统体系,以促进我国agent行为建模与仿真的发展。
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