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任务规划中协作式人机智能决策的未来

The Future of Collaborative Human-Artificial Intelligence Decision-Making for Mission Planning.

作者信息

Kase Sue E, Hung Chou P, Krayzman Tomer, Hare James Z, Rinderspacher B Christopher, Su Simon M

机构信息

U.S. Army Combat Capabilities Development Command - Army Research Laboratory, Aberdeen Proving Ground, MD, United States.

Oak Ridge Affiliated Universities, Oak Ridge, TN, United States.

出版信息

Front Psychol. 2022 Apr 4;13:850628. doi: 10.3389/fpsyg.2022.850628. eCollection 2022.

Abstract

In an increasingly complex military operating environment, next generation wargaming platforms can reduce risk, decrease operating costs, and improve overall outcomes. Novel Artificial Intelligence (AI) enabled wargaming approaches, based on software platforms with multimodal interaction and visualization capacity, are essential to provide the decision-making flexibility and adaptability required to meet current and emerging realities of warfighting. We highlight three areas of development for future warfighter-machine interfaces: AI-directed decisional guidance, computationally informed decision-making, and realistic representations of decision spaces. Progress in these areas will enable development of effective human-AI collaborative decision-making, to meet the increasing scale and complexity of today's battlespace.

摘要

在日益复杂的军事作战环境中,下一代兵棋推演平台可以降低风险、降低运营成本并改善总体结果。基于具有多模态交互和可视化能力的软件平台的新型人工智能(AI)兵棋推演方法,对于提供应对当前和新出现的作战现实所需的决策灵活性和适应性至关重要。我们重点介绍未来作战人员与机器界面的三个发展领域:人工智能指导的决策指导、计算辅助决策以及决策空间的逼真呈现。这些领域的进展将推动有效的人机协作决策的发展,以应对当今战场日益增加的规模和复杂性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/477a/9014866/21dd4c0dbf6e/fpsyg-13-850628-g001.jpg

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