Task self-generation is a process to complete task execution process formulation based on preset business workflow.Task execution process formulation mainly includes task execution step selection and task execution step corresponding solution selection.This paper proposes a task self-generation method based on Agent to solve the process formulation mechanism based on traditional business workflow.When faced on tasks with different requirements,because it can not make adaptive changes to task execution process formulation,problems such as slow processing speed and inaccurate results appear in processing tasks.The Agent's environment awareness ability is used to realize the awareness of task demand information and task self-generated system environment.The Agent's autonomous behavior decision-making ability is combined with the perceived information to realize the autonomous management of task execution process development.In the real application scenario test,a series of comparative experiments are designed to verify that this method has obvious advantages in processing speed and accuracy.
task self-generationAgentbusiness algorithm libraryknowledge base and inference engine
万方数据
维普
