The invention discloses an agent task scheduling
planning method, and relates to the technical field of agent scheduling. The method comprises the steps of analyzing a task instruction to generate atomic tasks capable of being independently executed, constructing a subtask
dependency graph, and defining association constraints between the tasks; determining the real-time resource occupancy state of the
intelligent agent to obtain a resource state
tensor, completing resource-task association anchoring and dependency priority
ranking in combination with the sub-
task dependency graph, and generating a task priority sequence with resource constraint; performing dynamic capability matching and predictive load balancing calculation on the sequence through a task-agent
adaptation model, and determining a target execution agent of each atomic task; and based on the target execution agent and the subtask
dependency graph, performing
time sequence scheduling arrangement and conflict resolution, and generating a collaborative execution scheme. The method improves the reasonability and efficiency of agent task scheduling, reduces resource conflicts and execution
timeout risks, and is suitable for agent cluster collaborative scheduling in a complex scene.