The invention belongs to the technical field of
game design, and discloses a method for applying an AI agent generation task
system to a scenic spot script killer
system, which comprises the following steps: generating an evaluation mode according to the type of the script killer, evaluating the related ability of a player under the type, generating a player portrait, sensing the current environment state, and generating an environment portrait; an initial task is allocated for each player, multi-agent
simulation is performed by using an MARL model, narrative and scheduling targets are formulated through a strategic layer, the strategic layer is decomposed into specific tasks, personalized tasks are generated in combination with a reward function and a plot
security guard mechanism, and difficulty coefficients of the players are dynamically adjusted; and the execution module receives the output of the dynamic decision module, forms a final task through
assembly and rendering, and issues the final task to a player terminal, players receive the task and interact, automatically verify the
task completion state, and feed back the
task completion state to the multi-mode environment sensing module, so that circulation is formed, and dynamic generation of the scenic spot script killing task is realized.