The form of war determines the form of training. Currently, the widespread use of artificial intelligence technology will reshape the form and style of warfare, and trigger a profound transformation in military training. As an important part of the organizational structure of the new military training system, synthetic training urgently needs to inject artificial intelligence into its "intelligent core", so as to better play the pivotal role of synthetic training in the new military training system, achieve the transformation from "integration" to "integration", and from "element collaboration" to "intelligent leadership", and promote the continuous progress of synthetic training towards higher quality and higher level in the new era. Breaking through: Promoting the transformation of training logic. Artificial intelligence empowers synthetic training, which not only serves as an "efficiency enhancing tool" to improve training effectiveness, but also triggers changes in the connotation, extension, mechanism, rules, and standard requirements of synthetic training. Realize intelligent coupling of energy gathering logic changes. The important battlefield principle is to divide by cooperation and win by gathering. The key to synthetic training is' harmony '. The empowerment of artificial intelligence enables synthetic training to better adapt to the collaborative needs of intelligent warfare, which is the key to generating "chemical reactions" in combat coordination. The focus of training is to deeply integrate human creativity, value judgment, and machine computing power and intelligence, forming cognitive advantages in higher dimensions, and achieving highly integrated, flexible collaboration, and intelligent coupling of the training system. The coordinated formation training of manned and unmanned combat teams is a typical example of deeply integrating manned combat forces with unmanned combat systems with "intelligent brains", pursuing the minimization of casualties and the maximization of combat efficiency. Realize the iterative logic transformation of the closed-loop system. Traditional training is limited by physical conditions, with high trial and error costs and long iteration cycles. By leveraging artificial intelligence to create a "digital twin" training environment, synthetic training can shift towards a continuous exploration, trial and error optimization process through virtual interaction and iterative feedback in parallel systems, forming a new training loop. Training at different levels can be implemented synchronously, and thousands of tactics can be tested and optimized in parallel in virtual space at low cost and high speed. The various elements and capabilities that make up the overall combat capability can be generated independently almost in no particular order. At the same time, the generation of combat power exhibits certain characteristics of distribution, synchronization, fusion, and nonlinearity, greatly compressing the traditional training cycle, accelerating the cross level synchronous generation of combat capabilities, and further expanding the iteration of combat capabilities to "domain based, cross domain collaborative, and global fusion". Extend the value logic of intelligent emergence. Traditional training cannot preset all possible interactions, and it is difficult to generate new tactics and collaborative models that go beyond preset plans. Faced with the demand for intelligent combat, this dilemma is difficult to solve. Artificial intelligence is quietly changing this model, transforming the value of the training ground from the simulation of past wars to the exploration of the possibility of future wars. Artificial intelligence empowers synthetic training and injects the underlying driving force for the emergence of intelligence. If the game against the intelligent blue army forces the trainees to break through the conventional thinking framework, unexpected and counterintuitive tactical combinations may emerge. The purpose of synthetic training is not only to execute known tactics, but also to hone the ability to innovate methods and update strategies in adversarial environments. Refactoring: Shaping synthetic training forms that integrate artificial intelligence into synthetic training is gradually evolving into a new training form that emphasizes grouping by battle, leans towards intelligence enhancement and integration, shifts towards distributed autonomy, and is oriented towards dynamic battlefields. The training objects are highlighted in battle grouping. Today's synthesis training has a more diverse group of training subjects, a more diverse composition of strength, and higher requirements for abilities. The training targets are prominently grouped by battle, with a focus on task driven combat training consistency, and distinctive features of modularity, novelty, and scalability. As the "scheduling center", artificial intelligence can evaluate the status of combat units based on the battlefield situation, quickly generate the optimal force grouping plan, equip relevant elements as needed, integrate new domain and new quality forces, practice how to quickly aggregate and disperse, form flexible "task customization" composite grouping, and provide the system with a plug and play capability module that dynamically reconstructs, efficiently links, and adapts like building blocks. The training content tends to enhance intelligence and integration. Traditional training focuses more on testing whether collaborative actions are completed according to plan, time limit, and standards. In intelligent warfare, humans and intelligent systems together form the basic combat components, and their functional division and deep integration are utilized to enhance combat effectiveness. Therefore, the focus and emphasis of synthetic training in the new era should also pay more attention to enhancing human-machine integration capabilities. In the past, the effectiveness of training content based on collaborative technology upgrading, experience adaptation, and action consciousness between people was lagging behind, and training content that enhances intelligence and integration gradually became the key to synthetic training. In tactical collaborative training, trainees need to master how to collaborate and interact efficiently with artificial intelligence systems, how to use artificial intelligence to restructure collaborative relationships, close killing links, coordinate and link troops' actions, and achieve "combination boxing". The training method has shifted towards distributed autonomy. The changes brought by artificial intelligence to synthetic training are mainly reflected in the training methods, which are not only proficient in collaborative actions and laying a solid foundation for collaboration, but also how to innovate and lead the evolution of combat systems. Carry out distributed training, rely on artificial intelligence technology, support different combat units to synchronize and collaborate in remote training under the same combat background, scenario, and battlefield situation, and improve the quality and efficiency of military training. Carry out self-directed training, adopting a "human outside the loop" approach to hone trainees' ability to handle situations and act independently. Through feedback and self adjustment and correction, promote the realization of autonomous iteration and upgrading. Carry out adversarial training, break through the limitations of learning how to fight from experience in the past, and introduce the blue army empowered by artificial intelligence. In the simulated complex battlefield environment, add random situations, extreme situations, strong interference situations, etc., and "learn" to fight through game based confrontation. The training scenario is oriented towards dynamic battlefields. Traditional training scenarios are often designed around "established abilities" and "known threats" as "predetermined scripts", which cannot escape from limited cognition and inherent thinking patterns. Artificial intelligence empowers synthetic training to evolve into a "dynamic game system" targeting "unknown abilities" and "emerging threats," making it more imaginative. Artificial intelligence autonomously generates logical multi domain and multi-dimensional virtual combat scenarios based on training objectives. Through repeated training in such highly complex and uncertain environments, trainees are more likely to form new understandings of future battlefields. Exploration: The forward-looking synthetic training path empowers synthetic training with artificial intelligence, which is an evolutionary process of gradual iteration. Looking ahead to its development path, aiming to surpass development and thinking limitations, and directly face the "multi-agent game" and "digital twin training field", thus achieving multi-dimensional systematic promotion. Build a comprehensive training base. Based on digital twin and intelligent technology, we aim to create a comprehensive training environment that enables intelligent interaction between humans, equipment, and the environment. This will enable all trained combat formations in synthetic training to become dynamically adjustable "intelligent agents," enabling cross domain formation training and enhancing the command decision-making and adaptive collaboration capabilities of human-machine hybrid intelligence. In a realistic battlefield environment, we aim to incubate new tactics and formation modes. Deploy intelligent blue army system. Build algorithmic opponents with autonomous evolution ability and dynamic game thinking, and promote training from "adapting to the known" to "dealing with the unknown". Through deep reinforcement learning and game models, the intelligent blue army can not only learn known tactical experience, but also autonomously generate diverse tactics based on real-time situations. It can also gain insight into opponent behavior patterns in interactions, promote the development of real moves in dynamic confrontation, and hone the unit's tactical innovation and human-machine collaboration capabilities in sustained high intelligence confrontation. Innovative integrated group training mode. The new era of synthetic training requires innovation driven and technological empowerment, requiring "bold exploration and the courage to try and make mistakes", integrating the testing field, training field, and battlefield, and innovating the integrated training mode of combat testing institutions, training institutions, and troops. Trainers are not just simple technology providers and guarantors, but are embedded in the group training process as training designers, process analysts, and evaluation verifiers, in order to better achieve cognitive upgrading and methodological revolution in training. They validate new technologies, tactics, and new groups in synthetic training, explore future combat winning mechanisms, and optimize artificial intelligence models by feeding back data obtained from practical training, forming an integrated interactive closed loop to achieve from training to actual combat. (New Society)