3 results about "Social collaboration" patented technology

The invention relates to the technical field of artificial intelligence education, and discloses a personalized English grammar learning system based on artificial intelligence. Comprising a multi-modal data acquisition module, a deep user portrait construction module, a dynamic association knowledge graph module, a multi-modal intelligent diagnosis module, a meta-cognitive guide type learning path planning module, a personalized content generation module, an emotional real-time feedback module, a meta-cognitive training module, a social cooperation module and a closed-loop optimization module. The multi-modal data acquisition module is used for acquiring multi-dimensional and multi-modal data of a learner, and covering related data such as basic information. According to the personalized English grammar learning system and method based on artificial intelligence, by setting a multi-modal data acquisition module and a deep user portrait construction module, basic information, cognitive features, meta-cognitive levels and emotional preferences of learners are captured in all directions; and constructing a dynamically updated deep user portrait by means of a multi-dimensional data fusion algorithm and a time sequence analysis algorithm.

The application discloses a kind of active behavior control system and method based on dynamic parameter hysteresis feedback.The system takes the feedback loop of dynamic parameter as one of main control mechanisms, optionally combined with hysteresis mapping to prevent state frequent switching, and can integrate multi-modal emotion adaptive cooling, explainability generation, compliance audit, positive feedback incentive and social collaboration, atomic ability management and value realization, etc. The whole link closed loop containing task execution and value realization is realized in optional embodiment. The application is helpful to improve at least one of response sensitivity, control stability and feedback attribution accuracy of the system by means of asymmetric response, hysteresis interval, causal reasoning, feedback attribution and event binding, safety fuse and autonomous authority boundary definition, intention safety pre-check, offline autonomy, resilience engineering and disaster recovery, cross-cultural adaptation and fairness protection, etc. It provides an active behavior control scheme that can be independently deployed and extended as needed.

This invention relates to a comprehensive growth navigation algorithm and its application system based on multi-agent reinforcement learning and causal inference, aiming to achieve precise matching between individual talents and macro-level development needs. The system consists of five core modules: a holographic profile encoder, a macro-strategy mapper, a multi-dimensional matching and path optimization engine, a dynamic execution and feedback loop, and a social collaboration interface, forming a closed-loop system. By integrating individual micro-data, family micro-environment, social meso-level trends, and macro-level development needs, and employing a combination of multi-agent reinforcement learning and causal inference, a dynamically adjusted growth trajectory is generated. This invention can improve the efficiency of individual potential development, promote the rational allocation of educational resources, support implementation, promote educational equity and social mobility, and make significant contributions to educational reform and talent cultivation.