Command decision agent construction system and method, electronic equipment and storage medium
By constructing a command and decision-making intelligent agent system, utilizing heterogeneous computing power collaborative scheduling and cognitive enhancement knowledge system, optimizing model architecture and autonomous planning, the system solves the problems of insufficient intelligence and model generalization ability in traditional command and decision-making, and achieves efficient and accurate command and decision support.
Patent Information
- Application Number
- CN202511414189.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-09-29
- Publication Date
- 2026-02-03
AI Technical Summary
Traditional command and decision-making relies on the subjective experience of commanders and lacks intelligence, resulting in inconsistent simulation results. Existing generalized large models lack the ability to generalize and understand the business in command and decision-making operations, making it difficult to support practical applications.
A command and decision-making intelligent agent system is constructed, including a computing power scheduling component, a cognitive enhancement component, a large model training and promotion component, and an intelligent agent autonomous planning component. Through heterogeneous computing power collaborative scheduling, environmental coupling modeling, and knowledge graphs, the model architecture is optimized, and the construction and optimization of the command and decision-making intelligent agent are realized by combining autonomous planning and knowledge transfer.
It improves the generalization ability and business understanding ability of the command and decision-making intelligent agent, realizes efficient, accurate and intelligent command and decision-making, supports intelligent management of the whole process, and solves the problems of insufficient model generalization ability and insufficient business understanding.