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深度态势感知与智能化战争
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北京邮电大学人工智能学院

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E919

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国防创新特区项目(A02B01C02-201704D0)


Deep situational awareness and intelligent war
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School of Automation,Beijing University of Posts and Telecommunications

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    摘要:

    未来战争是人机环系统融合的战争。它不仅仅是智能化战争,更是智慧化战争。未来的战争不但要打破形式化的数学计算,还要打破传统思维的逻辑计算,是一种结合人、机和环境各方优势互补的新型计算-算计博弈系统。本文以智能化战争为背景,研讨了深度态势感知的概念、内涵与模型;介绍了未来战争中深度态势感知模型发挥的作用,即深度态势感知解决了人工智能中可解释性、学习及常识三个重要瓶颈;最后,介绍了深度态势感知在未来战争中面临的挑战,包括人机环境系统融合问题、战场中的不确定性以及智慧化协同作战的实现。鉴于人机融合智能机制、机理的破解以及有效的协同方式将成为影响未来战争的关键因素,深度研究态势感知对预测未来战争走向将具备一定的借鉴意义。

    Abstract:

    Wars of the future will involve of the integration of the system of the human–-machine environment system. It isThis will not only not only an be an intelligent war, but also a smart war. The future war should not only breakIt will challenge the relevant formal mathematical calculations, but also and break the logical calculations of used in traditional thinking about combat. It is will require a new type of calculation- featuring consideration a game system that combining combines the complementary advantages of humans, machines, and the environment. Based on the background of intelligent war, this paper discusses the concept, connotation, and model of deep situational awareness, and introduces the role of deep situation awarenessthis model in future wars of the future, . That is, dDeep situational awareness solves the three important bottlenecks of interpretability, learning, and common sense in Artificial Intelligence; . Finally, theThis paper also introduces discusses the challenges of to future war situational awareness in wars of the future, including the uncertainty of human-computer the cooperation between humans and computers in the battlefield, and the challenges in the future. The Understanding the intelligent mechanisms of intelligent human–-computer integration, the cracking of mechanism and the and effective way means of cooperation will become the key factors affecting the future wars. Therefore, the research on deep situational awareness is of great importance to the future war.

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  • 收稿日期:2021-05-18
  • 最后修改日期:2021-05-18
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