大规模的合作和敌对意图模型

N. Geddes
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引用次数: 6

摘要

意向的大规模计算机模型有可能在协调大型、复杂的宏观系统方面发挥重要作用。通过在一个统一的、动态的、实时的计算机模型中表示所有参与者的意图,参与者可以检测到他们的活动与他人的活动之间的冲突。在一个合作的宏观系统中,参与者可以通过调整他们的活动来减少冲突和加强合作,从而提高整体绩效。在对抗性宏观系统中,例如军事战斗,跟踪友军和敌军的意图可以提供增强的反计划和反应执行。本文简要介绍了基于最近的载人仿真实验和演示的大规模意图模型的构建和测试的最新进展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Large scale models of cooperative and hostile intentions
Large-scale computer models of intentions have the potential to play a significant role in the coordination of large, complex macro-systems. By representing the intentions of all participants in a unified, dynamic, real-time computer model, participants can detect conflicts between their activities and those of others. In a cooperating macro-system, participants can improve overall performance by adapting their activities to reduce conflict and enhance cooperation. In adversarial macrosystems, such as military combat, tracking the intentions of friendly and hostile forces can provide enhanced counter-planning and response execution. This paper provides a brief view of the current progress in constructing and testing large scale models of intent based on recent manned simulation experiments and demonstrations.
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