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作 者:刘伟[1] 王赛涵 辛益博 王小凤 LIU Wei;WANG Saihan;XIN Yibo;WANG Xiaofeng(School of Automation,Beijing University of Posts and Telecommunications,Beijing 100876,China)
出 处:《国防科技》2021年第3期9-17,共9页National Defense Technology
基 金:国防创新特区项目(A02B01C02-201704D0)。
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,探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的可解释性、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具备一定借鉴意义。Wars of the future will involve the integration of the system of the human-machine environment.This will not only be an intelligent war,but also a smart war.It will challenge the relevant formal mathematical calculations and the logical calculations used in traditional thinking about combat.It will require a new type of calculation featuring a game system that 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 this model in wars of the future.Deep situational awareness solves the three important bottlenecks of interpretability,learning,and common sense in Artificial Intelligence.This paper also discusses the challenges to situational awareness in wars of the future,including the uncertainty of the cooperation between humans and computers in the battlefield.Understanding the mechanisms of intelligent human-computer integration and effective means of cooperation will become key factors affecting future wars.
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