基于BDI的地面无人体系多智能体仿真行为模型构建方法
By constructing a two-layer coupled architecture of BDI and Cousin models, the problem of the disconnect between cognition and behavior in ground-based unmanned systems is solved, enabling the natural movement and efficient task completion of intelligent agent clusters, and improving the realism of simulation scenarios and the robustness of task execution.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HUNAN SHUOQI TECH CO LTD
- Filing Date
- 2026-04-01
- Publication Date
- 2026-07-17
AI Technical Summary
In existing multi-agent simulation behavior models of ground-based unmanned systems, cognition and behavior are disconnected, resulting in scattered formations and rigid trajectories during agent swarm maneuvers, as well as a lack of high-level task planning capabilities, making it difficult to efficiently complete dynamic tasks.
A multi-agent simulation behavior model of a ground-based unmanned system based on BDI is constructed. A cognitive-behavioral dual-layer coupling architecture is established within the intelligent body. Intentions are generated through the BDI decision function and mapped to the dynamic parameter set of the Cousin model. Combined with the perception feedback loop, a decision-action closed loop is formed to realize the quantitative mapping between intentions and behaviors.
It improves the naturalness of movement and task efficiency of intelligent agent clusters, enhances the controllability and trustworthiness of unmanned clusters, enables rapid response and adaptive adjustment in complex environments, and significantly improves the robustness of task completion and the realism of simulation scenarios.
Smart Images
Figure CN121959970B_ABST