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Artificial Intelligence Impact on Soldiers in Virtual Reality Training Simulators = = تأثير توظيف الذكاء الاصطناعي على الجنود في محاكيات الواقع الافتراضي للتدريب .

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Artificial Intelligence Impact on Soldiers in Virtual Reality Training Simulators =/
其他題名:	تأثير توظيف الذكاء الاصطناعي على الجنود في محاكيات الواقع الافتراضي للتدريب .
作者:	AlSaeed, Dania Adnan.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2020,
面頁冊數:	110 p.
附註:	Source: Masters Abstracts International, Volume: 83-04.
Contained By:	Masters Abstracts International83-04.
標題:	Artificial intelligence. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28644172
ISBN:	9798460475933

Artificial Intelligence Impact on Soldiers in Virtual Reality Training Simulators = = تأثير توظيف الذكاء الاصطناعي على الجنود في محاكيات الواقع الافتراضي للتدريب .
AlSaeed, Dania Adnan.

Artificial Intelligence Impact on Soldiers in Virtual Reality Training Simulators =تأثير توظيف الذكاء الاصطناعي على الجنود في محاكيات الواقع الافتراضي للتدريب . - Ann Arbor : ProQuest Dissertations & Theses, 2020 - 110 p.

Source: Masters Abstracts International, Volume: 83-04.

Thesis (M.S.C.S.)--Princess Sumaya University for Technology (Jordan), 2020.

This item must not be sold to any third party vendors.

Virtual Reality (VR) and Machine Learning (ML) are exciting and dynamic fields of emergent technological research, offering realistic training solutions that meet users' training requirements while retaining flexibility for evolution and modification. They have consequently been increasingly applied in many areas of practical utility. Studies have proven the impact of simulation-based education and its ability to improve user performance, not to mention the minimization of time, effort, and expenses needed to reach a certain level of experience in certain areas of skill, training, and education. VR is now commonly used in simulation-based education to deliver an immersive field experience, as a pedagogical tool in general education, and in specific applications such as medical and military training. This thesis analyses the use of VR training simulation in the military field, considering physical and logical enhancements to improve military training using VR simulators. Moreover, it introduces a new approach to applying ML, studying training ML agents in the VR simulation environments with a training approach for improving the efficiency of military training via VR training simulators. The objective of this work is to develop and provide a solution to enhance training in VR training systems for military applications that can develop and design expert commander AI agents, trained using Reinforcement Learning (RL) training models, to enrich the benefits of training in immersive virtual environments.This study designed and implemented an agent that performs as a soldier commander agent, trained using Reinforcement Learning (RL) approaches on a scenario based on specialized forces training requirements. The RL approaches used in the methodology are the Proximal Policy Optimization (PPO) algorithm, Soft Actor-Critic (SAC) algorithm, Curriculum Learning (CL), and Imitation Learning (IL). We provide a detailed analysis and comparison for the behavior of the used approaches with a hyperparameter optimization for the trained agent for each approach. The results showed that IL, with the support of PPO extrinsic rewards, behaves better than the other used approaches in training RL soldier agent on purging scenario in a particular environment.

ISBN: 9798460475933Subjects--Topical Terms:

516317
Artificial intelligence.
Subjects--Index Terms:

Artificial Intelligence

Artificial Intelligence Impact on Soldiers in Virtual Reality Training Simulators = = تأثير توظيف الذكاء الاصطناعي على الجنود في محاكيات الواقع الافتراضي للتدريب .
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245 1 0 $a Artificial Intelligence Impact on Soldiers in Virtual Reality Training Simulators = $b تأثير توظيف الذكاء الاصطناعي على الجنود في محاكيات الواقع الافتراضي للتدريب .
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2020
300 $a 110 p.
500 $a Source: Masters Abstracts International, Volume: 83-04.
500 $a Advisor: Salameh, Walid.
502 $a Thesis (M.S.C.S.)--Princess Sumaya University for Technology (Jordan), 2020.
506 $a This item must not be sold to any third party vendors.
520 $a Virtual Reality (VR) and Machine Learning (ML) are exciting and dynamic fields of emergent technological research, offering realistic training solutions that meet users' training requirements while retaining flexibility for evolution and modification. They have consequently been increasingly applied in many areas of practical utility. Studies have proven the impact of simulation-based education and its ability to improve user performance, not to mention the minimization of time, effort, and expenses needed to reach a certain level of experience in certain areas of skill, training, and education. VR is now commonly used in simulation-based education to deliver an immersive field experience, as a pedagogical tool in general education, and in specific applications such as medical and military training. This thesis analyses the use of VR training simulation in the military field, considering physical and logical enhancements to improve military training using VR simulators. Moreover, it introduces a new approach to applying ML, studying training ML agents in the VR simulation environments with a training approach for improving the efficiency of military training via VR training simulators. The objective of this work is to develop and provide a solution to enhance training in VR training systems for military applications that can develop and design expert commander AI agents, trained using Reinforcement Learning (RL) training models, to enrich the benefits of training in immersive virtual environments.This study designed and implemented an agent that performs as a soldier commander agent, trained using Reinforcement Learning (RL) approaches on a scenario based on specialized forces training requirements. The RL approaches used in the methodology are the Proximal Policy Optimization (PPO) algorithm, Soft Actor-Critic (SAC) algorithm, Curriculum Learning (CL), and Imitation Learning (IL). We provide a detailed analysis and comparison for the behavior of the used approaches with a hyperparameter optimization for the trained agent for each approach. The results showed that IL, with the support of PPO extrinsic rewards, behaves better than the other used approaches in training RL soldier agent on purging scenario in a particular environment.
520 $a مؤخرا، سطع نجم العديد من المصطلحات منها الواقع الافتراضي وتعلم الآلة. يعتبر الواقع الافتراضي أحد أسرع المجالات التكنولوجية تطورا وتوسعا، تسمح هذه التقنية للمستخدم بمحاكاة بيئة افتراضية شبيهة بالواقع و تقدم حلول تدريب تلبي متطلبات تدريبية للمستخدمين ولكنها لا تزال تتحمل التطورات والتعديلات. من ناحية أخرى ، ازداد استخدام تعلم الآلة على مر السنين ، وقد اثبت هذا العلم كفاءته في مختلف المجالات التي تم تطبيقه فيها.أثبتت الدراسات تأثير التعليم القائم على المحاكاة وقدرته على تحسين أداء المستخدم، ناهيك عن تقليل الوقت والجهد والنفقات اللازمة للوصول إلى مستوى معين من الخبرة في جوانب مختلفة. يستخدم الواقع الافتراضي مؤخرًا في التعليم القائم على المحاكاة لتقديم تجربة غامرة في المجال، مثل التعليم والطب والعسكري.ناقشت الأطروحة محاكاة تدريب الواقع الافتراضي في المجال العسكري ، والتحسينات المادية والمنطقية لتحسين التدريب العسكري باستخدام هذه المحاكاة. علاوة على ذلك ، أدخلت نهجًا جديدًا لتطبيق تعلم الآلة ؛حيث درست عملية تدريب انسان افتراضي في بيئات محاكاة الواقع الافتراضي مع تصميم نهج التدريب لتحسين كفاءة التدريب العسكري عبر محاكيات تدريب الواقع الافتراضي.في هذه الأطروحة ، قمنا بتصميم وتنفيذ انسان افتراضي يعمل كعامل جندي قائد ، تم تدريبه باستخدام نهج التعلم المعزز على سيناريو مخصص. يقدم البحث تحليلًا ومقارنة تفصيليين لسلوك الطرق المستخدمة.
590 $a School code: 2116.
650 4 $a Artificial intelligence. $3 516317
650 4 $a Computer science. $3 523869
650 4 $a Military studies. $3 2197382
653 $a Artificial Intelligence
653 $a Machine Learning
653 $a Military Training Simulation
653 $a Reinforcement learning
653 $a Unity ML-Agent Toolkit
653 $a Virtual Reality
690 $a 0800
690 $a 0984
690 $a 0750
710 2 $a Princess Sumaya University for Technology (Jordan). $b Department of Computer Science. $3 3682737
773 0 $t Masters Abstracts International $g 83-04.
790 $a 2116
791 $a M.S.C.S.
792 $a 2020
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28644172