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Comparing computer-generated military actors with specific skills

机译:将计算机生成的军事演员与特定技能进行比较

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Abstract: The US military sees a great use for software agent technology in its `synthetic battlespace', a Distributed Virtual Environment currently used as a training and planning arena. The Computer Generated Actors (CGAs) currently used in the battlespace display varying capabilities, but state of the art falls short of presenting believable agents. This lack of `believability' directly contributes to simulation and participant inconsistencies. Even if CGAs display believable behavior no formalized methodology exists for judging that display or for comparing CGA performance. A formal method is required to obtain a quantitative measurement of performance for use in assessing a CGA's performance in some simulation, and thus its suitability for use in the battlespace. This paper proposes such a quantitative evaluation method for determining an agent's observed degree of performance as related to skills. Since the method delineates what is being measured and the criteria upon which the measurement is based, it also explains the particular evaluation given for specific military CGAs.!11
机译:摘要:美国军方在其“综合战场”中看到了软件代理技术的巨大应用,而“综合战场”是一种分布式虚拟环境,目前已被用作训练和规划领域。当前在战场上使用的计算机生成的演员(CGA)显示出各种功能,但是现有技术不足以提供可信的特工。缺乏“可信度”直接导致了模拟和参与者的不一致。即使CGA显示可信的行为,也没有用于判断该显示或比较CGA性能的正式方法。需要一种正式的方法来获得性能的定量度量,以便在某些模拟中评估CGA的性能,从而评估其在战场上的适用性。本文提出了一种定量评估方法,用于确定代理与技能相关的观察绩效。由于该方法描述了要测量的内容以及测量所基于的标准,因此它也解释了针对特定军事CGA的特定评估。11

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