美军智能化武器装备体系发展

智能化武器装备体系是军事智能化的基础和前提。智能化武器装备体系的集约高效发展,首先需做到找准定位,精准聚焦。本文针对美军的智能化武器装备体系,梳理了其发展,总结了其在各作战领域的典型作战运用,并分析了其下一步的发展趋势。     

陆军人工智能专业人才培养

陆军的智能化建设与发展离不开专业化的陆军人工智能人才培养。本文分析了智能化技术对战争形态转换、装备演化、指挥决策优化的影响,论述了陆军培养军用人工智能专业人才的必要性,提出了军用人工智能专业人才的能力模型,依据该模型设计了基础课程体系。     

智能化边海防建设

随着新一代人工智能在军事领域的不断应用,智能化战争已经悄然来袭。边海防建设作为国防和军队建设重要一环,关系国家安全稳定。本文着眼于以人工智能为核心的新技术在边海防建设中的应用,对智能化边海防建设相关问题进行了探索研究,为边海防今后建设发展提供了理论参考依据。     

Dissolution of an Empire: Insights from the İstanbul Bourse and the Ottoman War Bond

During the transformation period of the Ottoman Empire leading to the Republic of Turkey, many conflicts took place between 1918 and 1923. These conflicts interrupted the servicing of the Ottoman war bond. The reimbursement likelihood of this bond was related to the outcomes of First World War and the hostilities. This paper analyses the impacts of First World War and hostilities on the risk assessments regarding the Ottoman war debt, using manually collected data on the price of the Ottoman war bond traded at the ?stanbul bourse between 1918 and 1925. The empirical results imply that the defeat of the Bulgarian army and the peace offer of Austria-Hungary were associated with the increasing premium demanded by investors of the bond. The victories of the Turkish National Movement and the peace offer of the Allies to end the hostilities by 1922 positively affected the likelihood of the servicing of the debt.     

信息提取在边防情报工作中的应用

信息提取旨在为人们提供更有利的信息获取工具。信息提取应用于边防情报工作中,目的是解决边防情报分析的数据来源瓶颈问题。分析信息提取在边防情报工作中应用的可行性及作用,建立边防情报信息提取系统,展望信息提取在边防情报工作中的未来发展。     

美军推进人工智能军事应用的举措、挑战及启示

人工智能技术的发展加速了军事智能化的脚步。本文分析了美军在推进人工智能军事应用方面采取的一系列举措,如注重国家战略层面的顶层设计,出台一系列智能化发展战略规划;部署各类军事智能化研究项目,开展大数据、智能算法研究,促进人工智能技术向情报处理、无人作战平台、指挥控制、武器装备系统、作战方式变革的渗透转化;重视智能化技术的基础理论研究和人才培养,聚焦核心和关键技术的突破,夯实军事智能化发展的基础。阐述了美军在推进人工智能军事应用进程中面临的来自技术、信任、伦理等多方面的挑战,并从成熟算法民转军用、寻求认知智能算法突破、培养军事智能化复合型人才等角度提出几点启示。     

无人作战的人机融合：挑战与出路

无人作战对于人和机器两个要素的融合提出了巨大的挑战。一方面,无人作战独特的作战模式和作战环境对于自然人的能力素质构成严峻挑战,高度智能化的作战系统运行速度、海量的数据信息日益挑战人类的反应能力和决策能力,虚拟的、远程的、与现实战场隔绝的作战环境日益挑战人类的心理素质。另一方面,机器的高度智能化虽然有利于更好地发挥潜在的作战能力,但也不可避免地带来战争失控和道德沦丧的风险。破解人机两个维度的挑战,实现人与机器的深度融合,一方面要利用增强技术从物理、生理、心理三个层面加速提高人类的能力素质,另一方面是强化机器人的伦理安全设计,坚守人类对机器人的控制底线,规避机器人失控和战争“非人化”的道德风险。     

Morts pour la France: Demographic or Economic Factors?

This article offers a comprehensive analysis of the database ‘Mémoire des hommes’, which is a record of more than 1 million French soldiers officially recognized as dead during the World War I (WWI). Integrating this source with the 1911 census, we evaluate the potential numbers of recruits by French regional department. From this, a model identifies the factors affecting the number of deaths. While demographic factors are the principal determinants, adding significant economic, political and spatial factors reduces the unexplained variance between regions and significantly improves the explanation of the disparity in the number of deaths by region.     

大数据在信息作战指挥决策中的运用

针对信息作战指挥决策中大数据的运用问题,通过对大数据的海量信息检索能力、交叉复现的分析能力、“全信息”运算能力、智能决策执行能力的研究,提出了大数据为其提供按需订制的情报信息、多元多维的决策视角、动态实时的决策支持、智能自主的决策方式的观点,初步探索了大数据在信息作战指挥决策中的运用,对将大数据引入信息作战指挥决策具有十分重要的指导意义。     

British counterinsurgency in Brunei and Sarawak, 1962–1963: developing best practices in the shadow of Malaya

This paper uses recently-released material from the ‘migrated archives’ to provide an original counterinsurgency analysis of the TNKU revolt in Brunei and Sarawak from December 1962 to May 1963. It argues that, despite a failure to act upon intelligence predicting the outbreak of insurgency, Britain developed a highly effective counterinsurgency organisation. These records also indicate that decision-makers drew inspiration from the Malayan Emergency to inform success in Brunei. Although Malaya has been challenged as a counterinsurgency paradigm, the Brunei operations show the utility of striking a balance between inappropriately copying from past campaigns and developing best practices applicable to the unique environment of Borneo. In turn, the evolution of effective operational practices in Brunei informed their successful application to the subsequent Indonesian Confrontation.