The invention provides an artificial intelligence decision-making method and system based on a game theory and Nash equilibrium. The artificial intelligence decision-making method comprises the steps:S1, dividing cards into different buckets according to hand card strength; s2, initializing an average strategy; s3, sampling states in the game tree, sampling actions, and calculating a counter-factincome value and an expected income value of each state in the information set I; s4, calculating a counter-fact regret value, and updating a strategy value to perform neural network training; and S5, judging whether iteration of the player is finished or not, if so, outputting a current average strategy value, and if not, returning to the step S3. According to the method, the purpose of reducingthe calculation amount and the calculation time can be well achieved, updating of the strategy value is achieved through a series of steps, whether iteration is completed or not is judged, and then the calculation accuracy can be well improved.
Artificial intelligence decision-making method and system based on game theory and Nash equilibrium