With the development of technology, various types of intelligent combat forces have gradually stepped onto the stage of war and are playing an increasingly important role in warfare. However, the current level of "intelligence" in intelligent combat platforms is not yet high, and it is not realistic for the battlefield to be completely dominated by robots in the short term. To deal with complex situations, the battlefield still requires close coordination between personnel and unmanned personnel in order to truly unleash combat effectiveness. Reasonable division of labor between humans and machines, each showcasing their strengths. With the full integration of intelligent technology into combat operations, the relationship between combat personnel and intelligent combat platforms is gradually changing. Only through scientific and rational division of labor can the respective advantages of humans and intelligent platforms be fully utilized to achieve complementary advantages. Practice has proven that artificial intelligence technology can free humans from repetitive and tedious operations, allowing them to focus their main energy on understanding and translating superior intentions into task planning and combat plans. In combat, humans will no longer be just operators of weapons and equipment, but can make more situational judgments, design combat strategies, and plan winning tactics. By fully utilizing the advantages of intelligent machines such as fast speed, high precision, and fatigue resistance, the hierarchy, scope, and degree of integrating artificial intelligence into combat decision-making can be reasonably defined. Intelligence information judgment, screening, and disposal can be entrusted to intelligent auxiliary decision-making systems for processing. On this basis, the advantages of human creativity can be fully utilized to achieve a reasonable human-machine cooperation mechanism and form a flexible and efficient human-machine integrated combat system. Human machine mutual learning, iterative strong ability. From the perspective of cognitive science, humans often continuously correct their existing cognitive biases through extensive practice, forming experience in dealing with a certain type of problem through repeated iterations, and using it to guide the next step of action. The development process of intelligent combat platforms is similar to this. Currently, artificial intelligence systems in the military field mainly learn explicit knowledge about target interpretation, task allocation, action planning, etc. in the form of knowledge graphs, knowledge rules, etc. They accumulate data through collaboration with their own side and confrontation with the enemy in simulated or actual war environments, and use machine learning algorithms to condense new understanding and recognition of the enemy, battlefield, own side, and combat actions from the data. After learning, the system can form another set of reasoning, induction, and deduction methods that are different from humans, which can be used as a reference for human learning, thus achieving common progress between humans and intelligent systems, and forming a coordinated development of the whole. Close collaboration between humans and machines, integrated action. The close collaboration between humans and machines in intelligent warfare is the key to integrating human intelligence and machine intelligence to achieve efficient combat. Reconnaissance intelligence operations are entrusted to intelligent unmanned equipment by humans outside the environment. Humans propose reconnaissance requirements, and intelligent unmanned equipment autonomously decomposes tasks, plans actions, and implements them. The reconnaissance results and preliminary processed intelligence products are fed back to humans, and new reconnaissance tasks are executed according to human new needs. The command and decision-making work is led by a "human in the environment" intelligent assisted decision-making system, which takes the lead in the entire process from analysis and judgment to planning. The intelligent assisted system accurately understands the needs of people in the process, provides timely assistance, and helps people efficiently complete command and decision-making. Combat implementation actions, guided by the principle of "human in the environment", involve the implementation of intelligent equipment. Depending on the needs of the combat operation, the equipment is organized into groups with personnel at the back, no one at the front, and no one in parallel. Humans act as the command and control nodes, guiding and controlling intelligent unmanned weapons and equipment to autonomously complete collaborative actions according to their permissions and achieve the action objectives. (New Society)