On the integration of intelligence in military command and decision-making ■ zhouguohui, liuwenshu, Zhang Jian With the wide application of advanced technologies such as big data, neural network and cloud computing, artificial intelligence is driving the transformation of decision-making thinking, modes and methods with unprecedented power. The decision-making based on intuition and experience in the small data era will give way to the decision-making based on full sample data in the intelligent era, and the latter will become a new paradigm leading to victory in the battlefield. Only by accelerating the integration of artificial intelligence into modern command and decision-making and better realizing the complementary advantages of human brain thinking and machine computing can we promote the overall improvement of military command and decision-making. Clarify the advantages of intelligent integration The intelligent attribute of the future war will continue to strengthen, and it is necessary to make the best decision quickly according to the changes of the enemy's situation, our situation and the battlefield environment. Simple human brain decision-making has been difficult to adapt to the rhythm of modern war. It is necessary to actively use artificial intelligence to achieve rapid and efficient military command decision-making through man-machine coordination and complementarity. Data driven decision-making focuses on big data resources for data mining and comprehensive analysis, from which data association and unknown laws can be found and used to assist commanders in decision-making. Independent decision-making relies on the big data analysis platform and combines perception, cognition and decision support to accurately generate and optimize decision-making schemes on the basis of ensuring timeliness. Pre practical decision-making: by using the decision simulation system, the operational scheme is tested, tested, demonstrated and optimized before the operational decision-making results are transformed into operational actions, so as to extract the best operational scheme. From this point of view, artificial intelligence will become the "full source analyst" of the battlefield. With its powerful data and algorithm advantages, it can expand the breadth and depth of the commander's cognition of the battlefield, and can achieve more accurate situation awareness, more credible war situation research and judgment, and more rapid command and control. Focus on integrating quasi intelligence Algorithm, computing power and data are not only the internal driving force of the development of artificial intelligence, but also the core support. They should be integrated into the key links of the whole command and control process. It is necessary to enhance situational awareness and provide information basis for command and decision-making. The perception system in multi-dimensional battlefield shall be networked connected. With the help of data mining, deep learning and other technologies, a large number of heterogeneous data streams obtained from multiple sources shall be processed and utilized to extract useful battlefield intelligence and master the changes of battlefield situation, so as to realize the effective transformation from information advantage to decision-making advantage. It is necessary to strengthen the ability of cognitive decision-making and provide important support for command and decision-making. We should focus on the objective reality that the battlefield situation is changing rapidly and the weight of time elements is rising. Based on data information technology and artificial intelligence technology, we should organically combine new technologies, new tactics and empirical decision-making, so as to combine qualitative and quantitative methods, improve the speed of our own OODA loop single loop decision-making, expand the breadth of parallel decision-making, and take the cognitive lead by controlling the slow with the fast, so as to form the effect of approximate dimension reduction strike. It is necessary to optimize the coordination and control capability and provide a solid guarantee for command and decision-making. With the help of big data analysis technology, we should mine and compare the abnormal phenomena in the enemy's situation data, quickly capture the enemy's chaos, errors, weaknesses and other fighters, change the previous command mode of determining the next action according to the action results, adjust the decision in advance, dynamically deploy the troops, simulate and calculate the action effects, and coordinate and control the troops to carry out troop mobility. Avoiding the risk and challenge of intelligent integration Artificial intelligence is easily affected by defective data input, and there are problems such as "garbage in and garbage out". At the same time, the black box nature of artificial intelligence makes it difficult for people to understand why and how the machine makes decisions, and it is difficult to identify whether the data is damaged and produce wrong results. Therefore, we should work hard at the input of artificial intelligence. Focus on artificial intelligence application scenarios, identify false, forged and inferior data, deeply mine data relationships, and improve the integrity of information required for decision-making. Eliminate the false and retain the true, and increase the accuracy of training data. We should work hard at the interactive end of human-computer collaboration. The biggest dilemma of man-machine collaborative decision-making lies in the interaction between man and machine. There is uncertainty in man-machine interaction and poor information communication, which may produce unpredictable and unexplainable results. It is necessary to accelerate the development of intelligent mode of man-machine interaction. Work hard at the running end of the machine inference. The current "machine learning", "supervised learning" and "reinforcement learning" have been realized, but we should continue to seek breakthroughs, fully absorb various technical means, optimize model design and improve database construction. We should work hard at the distribution end of man-machine decision-making. Human brain and machine have their own advantages. We should pay attention to strengthening the artificial intelligence under "human participation", reasonably define the level, scope and degree of artificial intelligence integrated into command and decision-making, intervene in human brain judgment when it is critical, and control the safety and reliability of human-computer cooperation as a whole. Realize efficient and orderly integration of intelligence At present, military intelligence with intelligence as the core, informatization as the foundation and networking as the symbol is developing rapidly. Major countries in the world are actively exploring the advantages of artificial intelligence, hoping to make faster and better military decisions than their opponents, and create more decision-making difficulties for their opponents. We must closely follow the world trend, focus on top-level design, fully understand and give full play to the auxiliary support role of intelligent technology for command and decision-making, explore the man-machine collaborative decision-making mode that conforms to the characteristics of our army, and guide the construction of command capability system. We should adhere to the system guidance and optimize the man-machine coordination path of structural design. According to the decision-making thrust and capacity requirements of the strategic, campaign and tactical battle command, distinguish the command, control, communication and other mission areas, take into account the respective advantages and characteristics of "manned and unmanned", fully demonstrate the adaptability and possible problems of the application of artificial intelligence in the military command decision-making field, and the field, mode and integration degree of artificial intelligence in the system design. We should adhere to the principle of division of labor, which is dominated by people, supplemented by machines, learning from each other's strengths, and cooperating with each other. We should design our own exploration boundaries, and realize the transformation from auxiliary decision-making to intelligent decision-making. (outlook new era)