An agent self-correction method and system based on trajectory comparison and positioning

Abstract

This invention proposes a self-correction method and system for intelligent agents based on trajectory comparison and localization, belonging to the fields of artificial intelligence and general intelligent agents. The method includes: in response to the intelligent agent executing a task, monitoring and recording the state of the agent's interaction with the external environment according to a preset time strategy, generating execution state data; determining the final state after the task is completed, and if the determination fails, diagnosing and analyzing the cause of failure to generate error diagnosis information; generating a structured correction strategy based on the error diagnosis information; the intelligent agent responding to the correction strategy by executing correction operations to restore the correct state; and verifying the correction operation based on the consistency comparison of the state representation. If the verification passes, execution continues; otherwise, a retry mechanism is triggered. A corresponding system is also proposed based on this method. This invention achieves precise localization and safe correction of intelligent agent execution errors through structured state monitoring, step-level error localization, and closed-loop correction verification.

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