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人工智能在軍事對抗中的應用進展

Application progress of artificial intelligence in military confrontation

  • 摘要: 人工智能特別是近幾年深度學習的飛速發展,深刻的影響著軍事領域,并賦予現代戰爭智能性、交叉性和破壞性的新特點。要想在軍事對抗中取勝,不僅需要機器智能,同樣需要人類智慧,能在軍事作戰中達到人機高度協同,是實現人與機器取長補短的重要途徑,也是在愈發復雜的戰爭形勢中取得勝利的關鍵。本文將軍事對抗中人工智能的應用作為切入點,羅列了代表性國家在軍事領域對人工智能的重視程度,從對抗策略和物聯網三層架構兩大角度對發展現狀進行總結,同時指出在目前軍事領域使用人工智能存在的不足,對人機融合智能在軍事對抗中的發展趨勢進行分析,并給出可能實現的技術方案,對未來的研究方向作出展望。如何實現高度的人機融合,從而獲得“1+1>2”的良好效果,是人工智能在軍事對抗中的下一步研究工作。

     

    Abstract: Artificial intelligence (AI), especially the rapid development of deep learning, has a profound impact on various industries and has continuously changed the traditional production methods and lifestyles. From passive learning with computing power to autonomous learning and enhanced learning, the development of machine intelligence is largely due to the innovation of the AI theory and practice. AI has also had a far-reaching impact on the military field, as it has provided modern warfare with new features such as intelligence, interconnectedness, and destructiveness. Winning in a military confrontation requires not only machine intelligence but also human wisdom. Therefore, human-machine collaboration would combine the strengths and complement the weaknesses of human and machine, which is the key to victory in the increasingly complex war environment. How to achieve a high degree of hybrid human–artificial intelligence to obtain a good result of “1+1>2” is also a problem that needs to be further explored in military confrontation. This paper reviewed the application of AI in military confrontation as the starting point and highlighted the important measures and achievements of representative countries in the use of AI technology in the military development process. Moreover, we analyzed the development status from the two perspectives of confrontation strategy and the three-tier architecture of the Internet of Things, revealed the shortcomings of using AI in the current military field, and analyzed the development trend of hybrid human–artificial intelligence in military confrontation. We also presented three possible technical schemes and detailed explanations and finally proposed future research directions. We believe that the future development trend of intelligent military may be based on the hybrid human–artificial intelligence, which will further improve the adaptability of machines to the combat environment and reveal the merits of the integration of human wisdom and machine intelligence; this integration may be the next step of AI research in military confrontation.

     

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