Intelligent agent decision-making responsibility management and control method and system based on declarative primitive state machine

By parsing agent decision-making task requests using a declarative primitive state machine, generating authorized state responsibility records, and reconstructing judgment access and verification elements, the problem of unclear responsibility boundaries in the agent decision-making process in existing technologies is solved, realizing the continuous association between task requests and decision results and the complete expression of permission termination.

CN122134490APending Publication Date: 2026-06-02BEIJING COGNITIVE EMERGENCE TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202610598664.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-30
Publication Date
2026-06-02

AI Technical Summary

Technical Problem

Existing intelligent agent operation and control schemes are unable to form a continuous state-based association between task requests, authorization triggers, decision access, evidence sources, verification feedback, and task termination. This results in unclear boundaries of authority and responsibility in the intelligent agent decision-making process, and the evidence storage report has low completeness in expressing the status of responsibility assumption and authority revocation.

Method used

A method for controlling the decision-making authority and responsibility of an agent based on a declarative primitive state machine is adopted. By parsing the agent's decision-making task request with declarative primitives, an authorization primitive instruction unit is generated. Based on the authorization primitive instruction unit, an authorization state authority and responsibility record is generated. Further analysis of the judgment admission elements, evidence binding judgment record, and verification state authority and responsibility record are performed to finally generate an agent decision-making authority and responsibility control evidence storage report.

Benefits of technology

It achieves clear correlation between decision-making tasks of intelligent agents at each stage, reduces the risk of judgment primitive instruction units going out of authorization constraints, improves the evidentiary relevance of judgment processing results and the completeness of the expression of the authorization termination state, and forms a continuous control link between authorization, judgment, verification and termination.

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Abstract

The invention provides an agent decision-making responsibility management and control method and system based on a declarative primitive state machine, and the method comprises the steps: carrying out the declarative primitive analysis processing of an agent decision-making task request, generating an authorization primitive instruction unit, and generating an authorization state responsibility record according to the authorization primitive instruction unit; performing judgment admission factor analysis on the authorized state responsibility record to obtain a judgment admission factor description, and performing admission matching on a judgment primitive instruction unit and the judgment admission factor description to generate an evidence binding judgment record; performing verification element reconstruction on the evidence binding judgment record to obtain verification comparison element description, and generating a verification state right and responsibility record according to the verification comparison element description and the determined verification primitive instruction unit to be verified; and performing end element reconstruction on the check state right and responsibility record to generate an end constraint element description, and generating an agent decision right and responsibility management and control evidence storage report according to the end constraint element description.
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