The evolution of war forms and combat styles is deeply rooted in the profound changes of the combat system. The 'intelligence' of the intelligent combat system is not limited to technological stacking, but also lies in reconstructing the path of combat power generation and release, empowering the transition of combat effectiveness, and is the key pivot to leverage future war victories. Profoundly grasping and foreseeing the advantage of "intelligence" in building an intelligent combat system has become an inevitable requirement for winning intelligent wars. The survival advantage of elastic redundancy and the functional survival of combat elements are the foundation for winning battles. The intelligent combat system has formed a resilient survival mode to cope with high-intensity confrontation and uncertainty through distributed elastic deployment, modular functional reconstruction, and autonomous anti destruction healing. Heterogeneous and decentralized global deployment. Heterogeneity reflects the degree of aggregation of different capabilities integrated on the same platform, while dispersion reflects the degree of distribution of the same capability on different platforms. The intelligent combat system enhances the diversity of platform capabilities through heterogeneity. For example, the new combat aircraft can serve as a versatile integrated platform that combines sensing, command and control, relay, and strike functions; By dispersing combat functions to different platforms, large-scale and low-cost global deployment can be achieved, just as the same combat functions can be simultaneously assigned to multiple platforms and systems such as drones and cruise missiles. With the heterogeneous dispersion and matrix crossover of intelligent nodes, it is possible to form a continuous pressure that is ubiquitous and pervasive in physical space, as well as quickly gather in key directions, achieving the unity of global elastic existence and dynamic instant optimization, maximizing functional distribution and efficiency release, and coping with the uncertainty of intelligent warfare. Refactoring the functionality of module combinations. The intelligent combat system adopts a flexible paradigm of software definition, task based calling, and modular restructuring, deconstructing the functions fixed in specific equipment into standardized and interoperable software and hardware modules. During combat, according to the ever-changing battlefield requirements, it can be quickly and flexibly loaded and combined online through a unified interface and open system architecture, achieving non-linear combination of functions and flexible reshaping of capabilities. This plug and play, on-demand generation model explores the infinite functional potential within a limited physical scale, achieving a transformation from "fighting whatever weapons you have" to "generating whatever capabilities you fight", fundamentally enhancing the adaptability and mission flexibility of the combat system. Self healing and resilient recovery. The advantage of an intelligent combat system lies not in its absolute resistance to damage, but in its self-healing resilience of sensing damage and reconstructing interruption. When some nodes fail due to battle damage or interference, the system autonomously and quickly diagnoses the damage based on preset functions and path redundancy rules, mobilizes neighboring healthy nodes to take over tasks or enables backup communication paths to rebuild connections, and promotes the system to quickly transition to a new stable state. This endogenous elastic redundancy enables the system to maintain core functions and reconstruct the combat network even after continuous attacks, minimizing the impact of combat damage on overall combat effectiveness. The cognitive advantage of agile penetration is the key to seizing the initiative of battlefield information and achieving decision-making victory. Its essence lies in the deep integration of intelligent algorithms and advanced sensors, breaking through the barriers of "information fog" and "decision anxiety", and achieving a leap from passive perception to active cognition. Resilience connectivity for mobile adaptation. Resilience communication refers to the real-time perception of interference and dynamic reconstruction of links by communication systems in strong adversarial and complex electromagnetic environments, in order to maintain continuous and stable command and control. The intelligent combat system relies on technologies such as cognitive radio to achieve on-demand allocation of communication resources, intelligent optimization of transmission paths, and autonomous reconstruction of network topology. It can "drill through gaps" in complex electromagnetic environments and maneuver to obtain communication "windows". This resilience of 'being able to connect and continue during disruptions' ensures the survival of command and control relationships in extremely harsh electromagnetic environments, providing a reliable link for cognitive activities of the system. Organic fusion of multimodal information. Multimodal fusion refers to the process of extracting consistency from diverse and heterogeneous information to form a high-value battlefield situation. The intelligent combat system is based on intelligent algorithms to perform cross modal alignment of data from different sources such as radar, electro-optical, reconnaissance, and network power. It automatically extracts enemy deployment, action patterns, and tactical intentions from massive and fragmented intelligence, achieving heterogeneous complementarity and cross validation, promoting a qualitative change from data redundancy to accurate intelligence, and providing comprehensive insights into the battlefield. It provides commanders with a comprehensive and trustworthy battlefield cognitive base map, clears the fog of war, and reaches the core of the situation. The intention of human-computer interaction is interconnected. Intended to bridge the semantic gap between human commanders and intelligent combat systems, achieving precise and lossless transformation from natural language commands to machine executable tasks. The intelligent combat system constructs an intelligent interaction engine with natural language understanding and logical reasoning capabilities through technologies such as natural language processing and knowledge graphs. It automatically decomposes the commander's general combat intentions into task lists, constraints, and evaluation criteria, generates machine understandable and executable tactical instructions and action sequences, and accurately distributes them to corresponding combat units to directly drive their execution. This command mode of "thinking is pointing, pointing is hitting" greatly compresses the understanding and communication cycle in the traditional command chain, enabling the deep integration of human-machine intelligence at the decision-making level and achieving a leap in command efficiency. The collaborative advantage of autonomous adaptation is a multiplier for unleashing the combat effectiveness of the system. The collaboration of intelligent combat systems goes beyond programmatic presets, manifested in the self-organizing and adaptive synchronization and cooperation of cross domain combat units driven by unified rules and common tasks. Its essence is the embodiment of system intelligence at the operational level. Spatiotemporal synergy constrained by rules. Spatiotemporal collaboration refers to setting action boundaries and interaction rules for dispersed combat units in a unified spatiotemporal framework, ensuring their orderly coordination in the physical domain. Under the framework of unified combat rules, each unit of the intelligent combat system autonomously calculates relative positions and predicts action trajectories through intelligent algorithms, achieving calibration of different platforms in the time domain, connection in the air domain, and nesting in the frequency domain, achieving conflict free path planning, interference free spectrum use, and no accidental fire use. This collaborative mechanism that combines order and flexibility avoids mutual interference while maintaining tactical flexibility, providing a spatiotemporal benchmark for combat operations in complex battlefield environments. Task driven logical collaboration. Logical collaboration refers to the autonomous task decomposition, resource allocation, and action planning based on operational tasks, achieving intelligent organization and scheduling. The intelligent combat system is based on task parsing, capability matching, and planning generation algorithms, which automatically decompose combat objectives into specific action sequences and intelligently dispatch corresponding combat units to achieve "dispatching". Based on their understanding of global tasks, real-time situational awareness, and their own capabilities, each intelligent node autonomously decides on action plans through multi-agent negotiation mechanisms and dynamically negotiates and cooperates with relevant units to achieve "order taking". This task-based command greatly liberates higher-level commanders, enabling the system to have agility and flexibility in responding to unexpected situations, significantly enhancing the system's ability to adapt to tasks. Collaborative awareness of goal alignment. Consciousness collaboration refers to the autonomous decision-making and action of combat units based on a common understanding of the target and environment, forming synergy in terms of effectiveness. The intelligent combat system consists of systems or nodes with predictive and reasoning capabilities, which can predict the actions of friendly neighbors and the direction of the battlefield under the driving force of combat objectives. Through local perception and independent decision-making, it can carry out self-organizing and self inspired collaboration to coordinate and supplement positions. This synergistic effect, driven by efficiency, breaks free from communication constraints and goes beyond preset procedures, enabling the system to exhibit strong adaptability and creativity when facing strong enemies. The evolutionary advantage of learning iteration is the key to forming lasting competitiveness in the combat system and seizing the initiative on the battlefield. The intelligent combat system relies on real-time adversarial data to promote global optimization, accelerates capability diffusion through cross domain experience transfer, and leverages virtual game environments to generate disruptive tactics, thereby achieving autonomous evolution and intergenerational leap of combat effectiveness in the adversarial process. The system evolution of experience accumulation. The intelligent combat system will gather perception, decision-making, and action data obtained from complex adversarial environments in real-time to the knowledge center. Advanced algorithms such as reinforcement learning will be used for deep analysis and mining. Through closed-loop evaluation and dynamic adjustment of system level operational logic such as command processes, collaborative rules, and resource allocation strategies, reusable and verifiable structured knowledge units will be formed to enhance the understanding and autonomous adaptability of the combat system environment. This will enable the entire system to form a shared "collective memory" and achieve adaptive radiation from single point intelligence to overall operational efficiency, achieving the individual evolution of "Vietnam War becoming more refined". Cross domain empowerment of knowledge transfer. The intelligent combat system relies on a unified semantic space and feature alignment framework to quickly embed local experiences extracted and summarized from a certain battlefield or field into other combat domains or task scenarios, breaking down information barriers between combat units and achieving lossless transformation and cross domain application of combat experience. Its essence is to promote the safe flow and collaborative efficiency of knowledge within the system, complete the sublimation and reconstruction from "concrete experience" to "abstract knowledge", achieve "gains from the first battle, benefits from the whole domain", and accelerate the synchronous evolution of combat capabilities in various fields. This not only significantly improves the overall learning efficiency of the combat system, avoids repeated trial and error, but also achieves intensive improvement and systematic inheritance of combat capabilities. The subversion of game confrontation has emerged. The system intelligence game aims to break through the boundaries of human cognition and generate disruptive combat capabilities beyond traditional experience. Its essence is to achieve active creation and self transcendence of knowledge at the system level. By constructing a high-intensity and long-term "red blue" realistic adversarial environment in the digital twin battlefield, and using generative adversarial networks and multi-agent reinforcement learning frameworks, the intelligent combat system is able to explore unknown boundaries of the strategy space in the constantly evolving game. Based on game theory and complex systems theory, systems can spontaneously form better strategies in adversarial evolution, leading to the emergence of combat modes and organizational forms that go beyond conventional cognition. This makes the intelligent combat system a "super think tank" capable of continuously producing disruptive tactics. (New Society)