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Progress and Prospects for the Development of Computer-Generated Actors for Military Simulation: Part 2—Reasoning System Architectures and Human Behavior Modeling

机译:军事模拟计算机生成角色开发的进展与前景:第2部分:推理系统体系结构和人类行为建模

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摘要

The development of computer-generated synthetic environments, also calleddistributed virtual environments (DVEs), relies heavily upon computer-generated actors (CGAs) to provide accurate behaviors at reasonable cost so that the synthetic environments are useful, affordable, complex, and realistic. Unfortunately, the pace of synthetic environment development and the level of desired CGA performance continue to rise at a much faster rate than CGA capability improvements. This insatiable demand for realism in CGAs for synthetic environments arises from the growing understanding of the significant role that modeling and simulation can play in a variety of uses. These uses include training, analysis, procurement decisions, mission rehearsal, doctrine development, force-level and task-level training, information assurance, cyberwarfare, force structure analysis, sustainability analysis, life cycle costs analysis, material management, infrastructure analysis, and many other uses. In these and other uses of military synthetic environments, computergenerated actors play a central role because they have the potential to increase the realism of the environment while also reducing the cost of operating the environment. The progress made in addressing the technical challenges that must be overcome to realize effective and realistic CGAs for military simulation environments and the technical areas that should be the focus of future work are the subject of this series of papers, which surveys the technologies and progress made in the construction and use of CGAs. In this, the second installment of three papers in the series, we present a discussion of CGA software architectures and a discussion of approaches to human behavior modeling.
机译:计算机生成的合成环境(也称为分布式虚拟环境(DVE))的开发在很大程度上依赖于计算机生成的参与者(CGA)以合理的成本提供准确的行为,因此合成环境是有用的,负担得起的,复杂的和现实的。不幸的是,合成环境开发的速度和所需CGA性能的水平继续以比CGA能力改进快得多的速度上升。对于合成环境,CGA中对现实性的不满足需求来自对建模和仿真在各种用途中可以发挥的重要作用的日益了解。这些用途包括培训,分析,采购决策,演练,理论发展,部队级和任务级培训,信息保证,网络战,部队结构分析,可持续性分析,生命周期成本分析,材料管理,基础设施分析以及许多其他用途其他用途。在军事综合环境的这些和其他用途中,计算机生成的角色扮演着核心角色,因为它们有可能增加环境的真实感,同时还降低操作环境的成本。本系列论文的主题是应对在军事模拟环境中实现有效和现实的CGA必须克服的技术挑战以及应作为未来工作重点的技术领域,这些领域对技术和取得的进展进行了调查。 CGA的建设和使用。在本系列的第二部分(共三篇论文)中,我们介绍了CGA软件体系结构和人类行为建模方法。

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  • 来源
    《Presence》 |2003年第4期|422-436|共15页
  • 作者

    Banks S; Stytz M;

  • 作者单位

    Air Force Research Laboratory Orlando, Fl 32828, Sheila.banks@afams.af.mil;

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  • 原文格式 PDF
  • 正文语种 eng
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