Research on system dynamics combat decision based on StarCraft II

The StarCraft II game has become the main experimental environment in the field of intelligent combat decision-making, and system dynamics is suitable for macro modeling and simulation of complex systems. This paper proposes a general model of "unified planning-delayed output" supplemented by C language extended external functions to solve the difficulty of system dynamics modeling in the field of combat decision-making, and realize the refined modeling and simulation of StarCraft II, which verified the effectiveness of this method. This paper can lay the foundation for the research of intelligent combat decision-making based on deep reinforcement learning.