American Media: The PLA is exploring how to turn information warfare into intelligent warfare

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 American Media: The PLA is exploring how to turn information warfare into intelligent warfare

China Bulletin of Jameston Foundation, USA, April 9. The original topic is: Learning without War - the new trend of AI combat simulation of PLA. In recent years, Chinas military strength has improved significantly, but there are still obvious shortcomings in the software such as military training and readiness level, combat willingness and morale. Lack of practical experience is regarded as a major shortcoming and potential disadvantage in dealing with future conflicts. At the same time, the PLA has steadily increased its military innovation and made rapid use of emerging technologies, especially artificial intelligence.

Chinese leaders demand that the army win the battle in future wars. For the PLA, this may be a daunting task. How to overcome the challenge? On the one hand, they seek to increase the authenticity and complexity of practical exercises; on the other hand, they adopt new technologies in exercises and training, including the use of virtual reality and the creation of actual combat psychological state. The PLA is exploring the direction of military innovation. Specifically, AI is regarded as a key strategic technology, which is transforming the current information war into the future intelligent war.

At present, the PLA is exploring the form of future war and seeking to prepare for future war training. In this case, the application of AI to exercises is a valuable tool. This is not only a means of training, but also a way to study and even actively design future intelligent warfare. In fact, the history of AI application in the Chinese army is not short. In recent years, the PLA has taken the lead in developing more advanced exercise technology.

In September 2017, the Chinese Command and Control Society jointly held the first China Artificial Intelligence and Chess Presentation Forum at the National Defense University of the PLA. A set of artificial intelligence system called CASIA-Prophet 1.0 was first introduced. The system defeated the human team in the exercises and won again in the human-machine confrontation in another round of the competition in December of the same year. Such AI activities are expanding in Chinese military and civilian research and education institutions, from simpler land warfare scenarios to more complex air-sea and cyber battlefields.

The PLA attaches great importance to the use of new technologies to provide decision support for future battlefield commanders. For example, in April last year, the China Academy of Launch Vehicle Technology held a decisive thousands of miles intelligent man-machine confrontation competition. The competition has an AI Commander Program to compete with human athletes from well-known universities in China. It is said that the AI commander won in the end.

Obviously, the learning Chinese army intends to apply artificial intelligence to military exercises, which is a significant trend in the future. The PLA seems to be expanding its use of simulation and virtual reality to support more realistic war training. Compared with the U.S. military, the PLA has so far participated in such activities in a larger scope and scale. The data generated by these activities are of great value to the promotion of new technologies in military exercises decision-making. At present, the PLA is still in the exploratory and experimental stage before its full implementation. In this process, the use of artificial intelligence to remedy the weakness of self-diagnosis may still be an important factor affecting the future direction. In the absence of the opportunity to learn from war in war, the use of technological innovation in military exercises may be an important factor affecting the future combat effectiveness of the PLA. (Translated by Elsa Kania, Qiao Heng)

Source: Global Times - Global Network. More exciting, please log on to the World Wide Web responsible editor: Wang Xu_NBJS8023