Overview of Game Decision Intelligence

Survival of the fittest is the law of nature. Game decision-making is ubiquitous in human society, ranging from personal salary negotiations and stock investments to national-level financial policies, international cooperation, and even national security, all comprising a game process. Given the broad application prospects of game decision-making, more and more researchers are devoting themselves to this field of study. Game decision intelligence belongs to the cognitive intelligence field of artificial intelligence. Game decision intelligence has always played an essential role in the development of artificial intelligence. Some milestones in the history of artificial intelligence are closely related to the study of game decision intelligence. The emergence of game decision-making artificial intelligence such as AlphaGO, AlphaZero, AlphaStar, DeepStack, Libratus, and Pluribus, which have surpassed human performance, has attracted numerous researchers to engage in research in this field, making it a gradually popular research hotspot. Research on game decision intelligence will have significant implications for our deep understanding of human decision-making behavior in society and for promoting the development of intelligent systems. This study will summarize the development process of game decision intelligence, analyze the advantages and disadvantages of various methods, and explore its potential application value.