认知电子战综述

认知电子战通常被定义为以具备认知性能的电子战装备为基础,注重自主交互式的电磁环境学习能力与动态智能化的对抗任务处理能力的电子战形态。自其被首次提出以来,以其感知准、推理强、决策快的优势备受国内外研究学者广泛关注。随着人工智能新理念、新技术、新应用的不断涌现,认知电子战步入崭新的发展阶段。为捕捉其未来发展方向,从人工智能角度出发,总结并丰富了认知电子战概念内涵,梳理认知电子战的发展脉络及外国典型项目,搭建认知电子战系统框架及架构,从感知、判断、决策等方面对认知听电子战关键技术进行了全面系统综述,并总结了认知电子战面临的挑战和发展趋势。     

机器人集群路径规划技术研究现状

受社会型生物群体行为启发,群体智能得到日益广泛的关注,机器人集群作为群体智能的重要承载者得到了大量研发和广泛应用.机器人集群路径规划技术作为一项核心关键技术也得到快速发展.为此全面深入地调研了机器人集群路径规划的技术发展现状,创新性地归纳了适用于不同集群规模、可扩展性要求、通信需求以及算法要求的集群规划基础计算架构,包...     

基于灰色关联度和模糊贴近度的复杂设备瞬态虚警辨识

分析了电子设备和武器装备的ＢＩＴ系统虚警形式之一——瞬态虚警的产生原因和一般的预防措施；提出运用灰色关联度和模糊贴近度对瞬态虚警进行辨识并给出了这两种方法的基本原理；分别采用数值模拟和物理模拟的手段，获得了具有温度、湿度、振动（电源）三环境参数系统的状态变化样本群，以及因振动（电源）参数突变而产生的瞬态虚警样本；运用灰色关联度和模糊贴近度方法识别虚警及产生虚警的环境因素，结果表明两种方法可以胜任要求。     

公安边防人力情报源可信度影响因素分析

公安边防部队的情报来源以人力情报源为主,通过社会学研究方法对公安边防人力情报源可信度影响因素进行分析,得出5大类影响因素,并对所得结果加以解释,分析计算出各影响因素重要程度权重值,对公安边防人力情报源可信度影响因素重要性进行了排序,为构建公安边防人力情报源评价指标体系奠定基础。     

Military intelligence and the war in Dhofar: An appraisal

This article examines the role military intelligence played in the Dhofar campaign between 1970 and 1976. Drawing on an array of sources, it examines not only the crucial role played by military intelligence in prosecuting a successful operational campaign against a Marxist inspired insurgency, but equally, the importance that intelligence played in consolidating the Al Bu Said dynasty when across Oman and Dhofar itself, the material benefits to be had from the discovery and production of oil had yet to be realised.     

IRA operational intelligence: the heartbeat of the war

This article will seek to provide a detailed examination of the IRA's operational intelligence methodologies. Providing not only a lengthy discussion on the organization's intelligence collection protocols, it will also examine the interplay between intelligence and IRA decision-making. It will be contended that intelligence's influence resided in its ability to introduce a strong element of predictability into the IRA's decision-making process. This depended on an ability to construct a detailed intelligence picture of the target and its geographical milieu so as to minimize the likelihood of volunteers encountering unforeseen circumstances that could adversely affect planned or anticipated outcomes.     

The use of undercover military units in counter-terrorist operations: a historical analysis with reference to contemporary anti-terrorism

This article examines the use of specialised plain-clothes military units in counter-terrorism, concentrating on examples involving liberal-democratic states. It analyses the benefits and problems arising from clandestine military activity, focusing in particular on British army units (notably 14 Intelligence Company and the Force Research Unit in Northern Ireland). The article concludes by arguing that such formations have a clear utility – notably in gathering intelligence on terrorist groups – but other aspects of their role are inherently controversial (notably in cases where undercover soldiers use deadly force against suspected terrorists). It also states that plain-clothes military operations need to be conducted on the basis of accountability, both for strategic reasons, and also in accordance with the norms of liberal democracy.     

Artificial intelligence & future warfare: implications for international security

Recent developments in artificial intelligence (AI) suggest that this emerging technology will have a deterministic and potentially transformative influence on military power, strategic competition, and world politics more broadly. After the initial surge of broad speculation in the literature related to AI this article provides some much needed specificity to the debate. It argues that left unchecked the uncertainties and vulnerabilities created by the rapid proliferation and diffusion of AI could become a major potential source of instability and great power strategic rivalry. The article identifies several AI-related innovations and technological developments that will likely have genuine consequences for military applications from a tactical battlefield perspective to the strategic level.