20 results about "Cognitive competence" patented technology

The invention relates to the technical field of data processing, and discloses an intelligent agent architecture-based education large model autonomous teaching planning method and system. The method comprises the following steps: inputting a cognitive ability matrix, a knowledge mastery degree vector and a learning preference vector into an improved Bayesian knowledge tracking algorithm, and adding an agent parameter consistency constraint term and a teaching planning coordination factor to obtain a learning track state vector; based on the learning track state vector, multiple agents cooperatively generate a recommendation content identification sequence, a difficulty level sequence and a time distribution sequence; and monitoring the knowledge mastery degree vector variation, and reordering the recommended content sequence when the knowledge mastery degree vector variation exceeds a preset threshold value to generate a teaching sequence. According to the invention, the Bayesian knowledge tracking algorithm is improved, the agent parameter consistency constraint term and the teaching planning coordination factor are fused, and coordination and unification of multi-agent teaching decisions in a communication-free environment are realized.

The invention relates to the technical field of computers, in particular to an intelligent error data management method and device, and the method comprises the steps: obtaining historical error data and historical answering behavior data of a student, and constructing a subject knowledge graph and a student cognitive ability portrait; the method comprises the following steps of: performing semantic coding on a wrong question text through a pre-trained Transform model; based on the encoded vector representation, associating the error questions to corresponding knowledge point nodes in the subject knowledge graph, and identifying error types corresponding to the error questions; according to the knowledge point node attributes of the subject knowledge graph associated with the error questions and the identified error types, the cognitive competence portrait of the student is updated, and the mastery degree weight of the associated knowledge point nodes in the subject knowledge graph is dynamically updated; and based on the updated student cognitive competence portrait and subject knowledge graph, optimizing a cognitive state through LEMMA type reflection training, and generating a personalized learning path. According to the invention, accurate and personalized learning guidance can be provided for students.

The invention relates to the technical field of data processing, and discloses a teaching content integration method and system based on a knowledge graph, and a storage medium. The method comprises the following steps: performing cognitive difficulty labeling on multi-source teaching resources, and constructing a concept ontology library; fusing the semantic similarity and the cognitive span through a pre-dependency matrix algorithm to generate a pre-dependency graph; carrying out six-layer cognitive layer coding to obtain a multi-layer semantic matrix; the cognitive competence of the learner and the semantic matrix are dynamically planned and recombined, and a self-adaptive content sequence is generated; and constructing a timestamp fusion space, and obtaining a dynamic personalized learning path through a relationship attenuation model evolution graph. According to the method, the problems that in an existing teaching content integration method based on the knowledge graph, cognitive load quantification is missing, concept dependency relation mining is inaccurate, static knowledge representation is limited, and dynamic updating is lagged are solved.

The application discloses a kind of fusion training method and system for multiple cognitive abilities.The fusion training method includes: obtaining the cognitive evaluation result of user for attention, inhibition and memory;Based on the cognitive evaluation result, obtain the first training parameter related to attention and inhibition;Based on the first training parameter, obtain the second training parameter related to memory;Based on the first training parameter and the second training parameter, configure the cognitive training task of corresponding difficulty level and training duration for user;Push the cognitive training task to user for cognitive training, for simultaneously training the attention, inhibition and memory of user;Obtain the cognitive training data of user, and feedback the current cognitive training result to user.The fusion training method can integrate multidimensional cognitive ability training into one, break the common single cognitive ability training form, and help to improve and transfer the comprehensive ability of user.

This invention provides a method and system for training and evaluating pilots' cognitive abilities, relating to the fields of cognitive science and computer-aided training technology. Based on a training and evaluation system integrating personnel management, evaluation management, and training management, it completes a phased cycle of initial assessment, competency training, periodic assessment, and targeted training. The system collects operational data and adaptively adjusts training difficulty based on difficulty parameters, allowing assessment results to directly drive training program configuration. Furthermore, through the fusion analysis of multiple rounds of assessment and training data, it generates a digital profile of cognitive competence, achieving precise quantification and continuous improvement of pilots' cognitive abilities. The training effects of this invention can be transferred to real-world mission scenarios, making it suitable for large-scale application.

This invention relates to the field of cognitive health companionship technology, specifically to a multimodal companionship system for patients with cognitive impairment based on AI technology. The invention receives memory materials from a family member's terminal, constructs an interactive virtual scene, configures guiding questions, records the patient's answers to all guiding questions, sets the initial difficulty level of cognitive training based on an assessed memory recall integrity score, and collects performance data after the patient completes cognitive training tasks to determine if the initial difficulty level needs adjustment. This achieves precise matching of cognitive training difficulty to the patient's current cognitive level. Simultaneously, based on the performance data of cognitive training tasks within a subsequently set training period, a cognitive ability report is generated and compared with historical cognitive ability reports in multiple dimensions to assess the patient's cognitive ability improvement. This reflects the dynamic changes and improvement trajectory of the patient's cognitive ability, effectively improving the targeting and effectiveness of cognitive training.

The invention relates to the technical field of artificial intelligence, in particular to an extensible large language model driven cognitive competence assessment system and method.One or more large language models are adjusted and optimized by using an example data set with a label, and questions in a project question bank are automatically classified by using the adjusted and optimized large language models, so that the accuracy of cognitive competence assessment is improved. Obtaining a classification result; constructing a cognitive competence test based on the classification result, generating a structured evaluation result, and storing the evaluation result in a historical record of the user; the method comprises the steps of obtaining an evaluation result of a user, based on historical records of the user and the evaluation result, activating a dialogue agent driven by a large language model, converting recommended items into a structured query request, integrating retrieval results and generating a customized course scheme exclusive to the user, and according to the method, the large language model (LLM) is deeply integrated into an education evaluation and course generation closed loop; and full-process automation of automatic question classification, dynamic cognitive competence diagnosis, continuous model optimization and personalized course delivery is realized.

The invention provides a personnel cognitive competence training evaluation method and device based on multi-modal interaction, edge computing equipment and a medium, and relates to the technical field of human factor intelligence. The multi-modal interaction-based personnel cognitive competence training evaluation method comprises the following steps: receiving configuration information, and generating a multi-modal stimulation scheme for performing personnel cognitive competence training according to the configuration information; based on the multi-modal stimulation scheme, cognitive training is carried out on the user, cognitive ability training results generated by interaction of the user according to the multi-modal stimulation scheme are determined, and the cognitive ability training results at least comprise the correct rate, the error rate and the missing report rate; and determining a cognitive ability evaluation result of the user based on the cognitive ability training result. Through the method, the training effect and the evaluation accuracy of cognitive training can be improved.

The invention discloses a fusion type training method and system for multiple cognitive competence. The fusion type training method comprises the following steps: acquiring cognitive evaluation results of a user for attention, suppression force and memory; based on the cognitive evaluation result, obtaining a first training parameter related to attention and suppression force; acquiring a second training parameter related to memory based on the first training parameter; based on the first training parameter and the second training parameter, jointly configuring a cognitive training task with a corresponding difficulty level and training duration for the user; pushing the cognitive training task to the user for cognitive training so as to train the attention, inhibition ability and memory of the user at the same time; and obtaining cognitive training data of the user, and feeding back a current cognitive training result to the user. According to the fusion type training method, multi-dimensional cognitive ability training can be fused into a whole, a common single cognitive ability training form is broken through, and comprehensive ability improvement and migration application of the user are facilitated.

The application relates to the technical field of intelligent education management, in particular to an information-based teaching test system with adaptive learning progress, which comprises the following contents: a knowledge node construction module, a learning state recognition module, a test task generation module, a path scheduling adjustment module and a feedback data backtracking module.In the application, the knowledge point fine numbering management is realized through the construction of a directed edge numbering set, the dependence direction is set in combination with a label propagation algorithm, the semantic expression capability of the node relationship is enhanced, the state weight sequence is formed based on the matching of the answer behavior matching weight and the stability coefficient, the stability of the classification recognition is improved, the cognitive ability coding and the time consumption median value linkage state weight are introduced, the questions are filtered and a priority queue is constructed, the precision of the task pushing is improved, the path chain is constructed by fusing the numbering and the sorting weight, the path branch is expanded by calculating the dependence strength, and the individual adaptability and the task rhythm coordination capability of the path scheduling are enhanced.

This invention relates to the intersection of cognitive training intervention and artificial intelligence, specifically to a method for matching optimal parameters for cognitive training based on an LSTM model. The method includes: designing features and methods for collecting user cognitive training log data; automatically evaluating user cognitive abilities based on a cognitive unit scoring method; and constructing a dataset based on the above design. The dataset is preprocessed to reconstruct a sequence dataset of cognitive training interventions as training samples. These training samples are then input into a depth-optimal difficulty prediction model designed based on an LSTM framework for training. Finally, the trained prediction model is used to predict the difficulty coefficient of cognitive training and to evaluate model performance. This invention, by training an LSTM prediction model to determine the difficulty of the next training session based on historical data from user cognitive training, ensures that users consistently undergo cognitive training at a challenging level of difficulty and intensity.

An apparatus and a method for providing a user-customized program for improving cognitive ability are provided. The method comprises the steps of: providing a first questionnaire for a cognitive test to a terminal of a user; upon receiving a first response to the first questionnaire from the user terminal, calculating dementia risk of the user on the basis of the first response; providing a first training program for a preset first period to the user terminal on the basis of the dementia risk; providing, to the user terminal at the end time point of the first period, a second questionnaire for a lifestyle assessment based on the first response; upon receiving a second response to the second questionnaire from the user terminal, calculating a first lifestyle score of the user on the basis of the second response; and providing a second training program for a preset second period to the user terminal on the basis of the first lifestyle score.

The invention provides a cognitive ability evaluation system and method suitable for a plateau hypoxia environment, and relates to the technical field of cognitive and psychological testing. Comprising a cloud server, an APP test unit, an external portable monitor and a user client. The cloud server is used for generating a cognitive competence assessment task and a questionnaire according to the personal information of each tested user, the altitude environment information and a seven-point scale subjective evaluation method; the APP test unit is used for receiving the cognitive competence assessment task and the questionnaire, obtaining a first test result and a second test result, and obtaining the heart rate and the blood oxygen saturation of each tested user by using an external portable monitor; the cloud server is further used for performing analysis according to the first test result, the second test result, the heart rate and the oxyhemoglobin saturation and generating a test report; and the user client is used for displaying the test report. The special requirements of the plateau anoxic condition can be effectively met, and the oxygen supply strategy in the plateau anoxic environment is further optimized.

The present invention discloses an interactive game apparatus and method that combines physical construction with strategic gameplay, designed to enhance both motor and cognitive skills. The game merges elements of traditional block-stacking with action-based card play and a wrecking device that adds competition and unpredictability. The wrecking device and an action-dictating element are adapted to various forms such as elements, dice, a wheel, or different impact devices. Players take turns building one tower with stacking blocks on a base block, following instructions dictated by action elements. The wrecking device, triggered by specific card actions, allows players to disrupt the tower, creating a dynamic and engaging experience. The game is adaptable, with components that can vary in size, material, and design, making it suitable for different age groups and skill levels.

The invention provides mixed structure grease for improving brain cognition as well as a preparation method and application thereof, and the mixed structure grease for improving brain cognition comprises the following components in percentage by mass: 2-20% of 1, 2-dipalmitic acid-3-oleic acid triglyceride (PPO). The method is beneficial for improving the cognitive competence of the brain.

This invention provides a method for testing personnel's basic cognitive abilities and operational skills, a portable device, an edge computing device, and a storage medium. The portable device for testing personnel's basic cognitive abilities and operational skills improves integration and deployment efficiency through modular integration of hardware components, customized design of the enclosure structure, and seamless integration of software and hardware. It enables rapid switching from transportation to working status and meets the stringent requirements of users in special industries for deployment speed and ease of operation.

In an approach to assessment of cognitive performance, a method includes attaching a plurality of portable physiological sensors to a body of a user; collecting data from the plurality of portable physiological sensors; processing the data using a cognitive performance algorithm and a pre-trained subject-specific model; and reporting a results of the cognitive performance algorithm.

We provide the system. [Solution] A means of collecting and analyzing learners' cognitive abilities, interests, learning styles, and potential talents, A means for generating a dynamic curriculum optimized for learners based on the analysis results, A means of providing an immersive learning environment based on the generated curriculum, A means of tracking learners' progress in real time and generating feedback, Means for adjusting learning content in feedback, A system that includes this.