tags: [concept, doctrine, intelligence_theory, intelligentised_warfare, pla] last_updated: 2026-03-21 # [[Intelligentised Warfare]] ## Core Definition (BLUF) [[Intelligentised Warfare]] (智能化战争) is the doctrinal paradigm officially adopted by the [[People's Liberation Army]] (PLA) to describe the future of conflict, characterised by the pervasive integration of [[Artificial Intelligence]] (AI), machine learning, quantum computing, and big data across all military operations. Its primary strategic purpose is to achieve decision-centric superiority—outpacing adversary decision cycles (the [[OODA Loop]]) through algorithmic command and control, human-machine teaming, and the deployment of autonomous weapons systems. ## Epistemology & Historical Origins The concept originated within the military academic circles of the [[People's Republic of China]], specifically the [[Academy of Military Sciences]] (AMS), serving as a dialectical evolution of the PLA's previous doctrine of "Local War under Informationised Conditions" ([[Informationised Warfare]]). Gaining formal codification in China's 2019 National Defence White Paper, the doctrine reflects an acute observation of US military capabilities—such as the [[Third Offset Strategy]] and [[Project Maven]]—and the rapid commercial advancement of civilian AI. Foundational theorists argue that just as mechanisation replaced attrition, and informationisation replaced mechanisation, "intelligentisation" will become the decisive factor of victory, fundamentally shifting the centre of gravity from physical destruction to cognitive and algorithmic dominance. ## Operational Mechanics (How it Works) The execution of Intelligentised Warfare relies on transforming raw data into automated, high-velocity military action through several key pillars: * **Algorithmic Decision Support:** Processing vast streams of multi-source intelligence to generate automated, optimised courses of action for commanders, radically compressing the temporal gap between sensor and shooter. * **Human-Machine Teaming ([[MUM-T]]):** Integrating human cognitive flexibility and strategic intent with machine processing speed, encompassing both physical platforms (e.g., manned aircraft commanding drone loyal wingmen) and cognitive systems (AI-assisted staff planning). * **Autonomous & Swarm Systems:** Deploying massed, self-organising clusters of [[Unmanned Aerial Vehicles]] (UAVs), [[Unmanned Surface Vessels]] (USVs), and ground robotics designed to saturate, adapt, and overwhelm adversary defences through distributed lethality. * **Cloud-Based Command and Control ([[C2]]):** Establishing an omnipresent "combat cloud" that seamlessly networks dispersed sensors, processing nodes, and strike assets across all domains into a unified, resilient kill web. ## Modern Application & Multi-Domain Use **Kinetic/Military:** Focuses on the deployment of hypersonic glide vehicles, autonomous loitering munitions, and robotic combat vehicles. AI is utilised to dynamically predict adversary logistics, optimise supply chains, and coordinate complex multi-axis joint fires without the bottleneck of human micromanagement. **Cyber/Signals:** The execution of machine-speed [[Cyber Warfare]] and Cognitive [[Electronic Warfare]] (CEW). AI algorithms autonomously scan adversary networks for zero-day vulnerabilities, generate polymorphic malware, and dynamically adjust radar frequencies to spoof or jam sensors in milliseconds, creating a self-healing electromagnetic posture. **Cognitive/Information:** The weaponisation of algorithms for [[Intelligence-notes/02_Concepts_&_Tactics/Cognitive Warfare]]. This entails using deep learning to execute micro-targeted [[Psychological Operations]] (PsyOps), mass-produce hyper-realistic synthetic media (deepfakes) to degrade adversarial societal cohesion, and manipulate the algorithmic curation of global social media platforms to achieve total [[Narrative Control]]. ## Historical & Contemporary Case Studies **Case Study 1: PLA Unmanned Swarm Testing (2020-Present) -** To operationalise the doctrine, the [[People's Liberation Army]] has conducted extensive, publicised tests of fixed-wing UAV swarms and autonomous USV flotillas. These exercises demonstrate the capability to execute self-healing network topologies, autonomous target allocation, and coordinated saturation strikes, directly aimed at testing asymmetric responses to the [[United States Navy]]'s carrier strike groups in the [[Indo-Pacific]]. **Case Study 2: [[Israel Defense Forces]] (IDF) "Algorithmic Warfare" -** While Intelligentised Warfare is theoretically a PLA doctrine, its practical application is globally observable. The IDF's utilisation of AI targeting systems (such as the "Gospel" and "Lavender" platforms) during conflicts in [[Gaza]] serves as a critical real-world proxy. These systems employ machine learning to autonomously synthesise [[SIGINT]], [[IMINT]], and [[OSINT]] to generate target banks at a velocity vastly exceeding human capacity, providing observing global militaries with empirical data on the operational efficacy and friction of algorithmic targeting. ## Intersecting Concepts & Synergies **Enables:** [[Decision Superiority]], [[OODA Loop]] compression, [[Multi-Domain Operations]] (MDO), [[Distributed Lethality]], [[Intelligence-notes/02_Concepts_&_Tactics/Cognitive Warfare]], [[Algorithmic Warfare]]. **Counters/Mitigates:** [[Information Overload]] (by filtering noise for commanders), Human cognitive fatigue, Adversary [[Command and Control]] (C2) nodes, Traditional massed force structures (via swarm saturation). **Vulnerabilities:** Highly susceptible to data poisoning ([[Adversarial Machine Learning]]), algorithmic bias, and rigid adherence to flawed machine logic. The doctrine's heavy reliance on robust, uninterrupted data links and cloud architecture makes it critically vulnerable to severe [[Electronic Warfare]] (EW) and kinetic or non-kinetic [[Anti-Satellite Weapons]] (ASAT). Furthermore, the doctrine risks "flash combat" scenarios where interacting autonomous systems escalate conflicts at machine speed, bypassing human diplomatic off-ramps.