一种语义行为冲突驱动的社交机器人自适应检测方法、电子设备及储存介质
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- 湖南工商大学
- Filing Date
- 2026-04-27
- Publication Date
- 2026-07-17
AI Technical Summary
Existing social robot detection methods suffer from unstable detection performance when faced with diverse camouflage strategies, limited data sources, and inconsistencies between semantics and behavior. Furthermore, they struggle to adaptively adjust the decision-making process, especially when social relationship graph data is lacking, leading to performance degradation.
A semantic-behavioral conflict-driven detection method that does not rely on social relationship graphs is adopted. By constructing a text semantic expert module, a behavioral temporal expert module, a conflict calculation unit, and a decision strategy module, the semantic-behavioral conflict index is explicitly characterized, the detection decision path is dynamically selected, and the corresponding detection results are output.
It improves detection robustness and stability in complex camouflage and distribution change scenarios, reduces the complexity of data acquisition and deployment, enhances the ability to identify camouflaged samples and cross-scenario adaptability, and outputs interpretable detection results.
Smart Images
Figure CN122087597B_ABST