63 results about "Social behavior" patented technology

Systems and computer-implemented methods are disclosed for providing social entertainment experiences in a moving vehicle via an apparatus that simulates human social behavior relevant to a journey undertaken by the vehicle, for displaying human-perceivable exterior communication on the moving vehicle to neighboring vehicles and / or pedestrians, and for providing a modular travel experience.

The invention discloses an SCRM customer intelligent portraying system and method based on multi-source data, and the system comprises a multi-source data collection and integration module which is used for collecting and cleaning the internal and external multi-source data of an enterprise; the client dynamic label engine is used for generating labels based on business rules and calculating dynamic weights based on data sources and recency; the client intelligent portrait generation and updating module generates a unified portrait through a multi-dimensional portrait model and a portrait fusion device and tracks version evolution; the interactive portrait application and feedback module provides visual display, intelligent early warning and strategy reaching functions and optimizes a label rule through a feedback closed loop; according to the method, internal and external multi-source data of an enterprise are integrated and uniformly coded, so that a data island phenomenon is broken, a multi-dimensional portrait model covering basic identities, transaction values, social behaviors and dynamic intentions is constructed, and a uniform customer panoramic view is formed.

The present application belongs to the technical field of unmanned aerial vehicle cluster control, and particularly relates to a multi-unmanned aerial vehicle cooperative target tracking path planning method based on a spider wasp optimization algorithm. The method comprises the following steps: (1) establishing a mathematical constraint model of a flight path; (2) constructing an evaluation function according to the mathematical constraint model, including a fitness function and a total distance length; (3) based on the spider peak optimization algorithm, solving the evaluation function, and constantly iterating, calculating and comparing to obtain an optimal solution or an approximate optimal solution, i.e. an optimal path; and (4) distributing the optimal path to each unmanned aerial vehicle for execution. The present application simulates the predatory behavior of spiders and the social behavior of bees, realizes efficient path planning of multi-unmanned aerial vehicles in cooperative target tracking in a complex three-dimensional environment, improves the flight efficiency and safety of unmanned aerial vehicle clusters, and enhances the adaptability of unmanned aerial vehicle clusters in complex environments.

The invention discloses an AI-based game material comment analysis method, system and device and a medium, and the method specifically comprises the steps: carrying out the multi-dimensional sentiment analysis of current material comment data based on a special game sentiment dictionary, and outputting a sentiment tendency analysis result; constructing a player clustering model according to the emotional tendency analysis result and the game behavior data, and establishing a social behavior and comment association model according to the emotional tendency analysis result and the social behavior data; extracting positive and negative feedback information for different player groups according to the player clustering model and the association model; and calculating an optimization priority of each material dimension according to the positive and negative feedback information and a preset player value evaluation model, associating the negative feedback information of the high-value player group with abnormal points in the game behavior data, and generating a material iteration suggestion. According to the method, accurate game material comment analysis is realized, customized iteration suggestions are generated, and the game material optimization efficiency and quality are improved.

The application discloses a robot social behavior control method based on comprehensive evaluation and optimal control principles, and the method comprises the following steps: collecting external multi-modal information, making a comprehensive decision on a social object, modeling a robot eye-head actuator, solving a motion trajectory with minimum nerve conduction noise, and performing optimal control by using an MPC controller to realize parallel interaction between the robot and multiple social objects. The optimal control is performed on the robot to generate human-like motion and gaze effects.

The invention relates to the technical field of telecommunication, in particular to an eSIM card security encryption data transmission system which comprises a social simulation management module, a social behavior learning and strategy evolution module, a self-adaptive encryption strategy module, a trust collaborative verification module and an anomaly detection and self-healing module. According to the method, historical experience is precipitated through a digital twin memory bank, an optimization strategy is generated through reinforcement learning training, and a closed-loop mechanism of real-time calling and dynamic adjustment is adopted, so that autonomous collaborative optimization of the concealment and the transmission efficiency in a specific social situation is realized, and comprehensive risk quantitative evaluation based on multi-dimensional situation awareness and dynamic weighting is realized. And the dynamic matching is adaptive to encryption algorithms of different risk levels, so that the accurate balance among the security strength, the communication efficiency and the equipment resource consumption is realized.

This invention relates to the field of artificial intelligence technology and discloses a multi-agent social network simulation method and system based on a cognitive reasoning chain. The method includes: initializing a multi-agent system comprising a social environment engine, a user profile engine, and a cognitive reasoning engine; executing a multi-agent social network simulation loop with a preset number of iterations; in each iteration, the social environment engine pushes social information to the agents as external stimuli and activates the agents to make independent decisions; updating the cognitive states of each dimension in the cognitive reasoning chain and generating corresponding social behaviors through reasoning using a large-scale language model; recording the social behaviors and their corresponding cognitive state trajectories; periodically analyzing historical records to optimize the influence coefficients between the cognitive dimensions of the cognitive reasoning chain; and adjusting the reasoning strategy of the preset large-scale language model. This makes the simulation of the agent's cognitive process a transparent and traceable evolutionary process, achieving a complete and understandable simulation of the "observation-cognition-behavior" cycle.

The invention belongs to the technical field of computers, and discloses an electronic coupon recommendation obtaining method and system based on social network behaviors, and the method comprises the following steps: S1, obtaining multi-dimensional behavior data of a target user and a social associated user from a social network platform, the behavior data comprises consumption preference data, social interaction data and content generation data of the user; s2, performing cleaning and structured processing on the multi-dimensional behavior data, and extracting user social behavior feature vectors; according to the method, consumption preference, social interaction, original content and other multi-source data are fused, the constructed dynamic interest preference graph can deeply and prospectively insight into user interests, the problems of data sparseness and cold start are effectively relieved, the recommendation result is more accurate, and surprise can be brought; by quantifying the social influence index, key opinion leaders or users with high propagation potential can be identified, and coupons which are more attractive or have sharing incentive attributes can be recommended for the key opinion leaders or users with high propagation potential.

Embodiments of the methods of the disclosure and compositions related to managing the microbiota in an individual having at least one social behavior deficit. In particular embodiments, an individual has at least one social behavior deficit and was born to a mother who was obese, overweight, or consumed a high-fat diet during pregnancy or carries mutations associated with neurodevelopmental behaviors. In particular embodiments, an effective amount of Lactobacillus reuteri is provided to the individual having at least one social behavior deficit to improve at least one symptom of a social behavior deficit.

The application discloses a data mining method and system for a social robot. The method comprises the following steps: determining an interactive object currently communicating with the social robot and collecting social media data; performing word segmentation and vectorization processing on the text through a natural language processing algorithm, and extracting an emotional tendency value through an emotional analysis model, and dividing the data into multiple emotional grades according to a preset critical value; extracting keywords and topic fields based on word frequency statistics and topic clustering, and deleting the data if the number of keywords is lower than a threshold value; constructing time series data according to social behaviors and time stamps, predicting an active period and a behavior trend by using an LSTM model, and adjusting the model through a sliding window mechanism; and combining multi-dimensional feature vectors, and assigning personalized labels to the interactive object through clustering results. The application realizes accurate analysis of behavior and emotional characteristics of the interactive object, and provides an effective personalized interaction strategy for the social robot.

The invention discloses a method for improving autism behaviors through Npas4 expression and overexpression in a cat chat syndrome model, and belongs to the technical field of animal model construction. Selecting SD wild rats and CdCS model rats, and normally feeding and breeding the rats; the method comprises the following steps: measuring the protein concentration by adopting a BCA method, then carrying out Western Blot, then carrying out brain stereotactic injection, and finally carrying out behavioral testing. According to the invention, a CdCS rat model is established by using a CRISPR-Cas9 technology, and the model shows cognitive and social behavior disorders and medial prefrontal cortex (mPFC) neuron dendritic abnormality; in addition, an abnormally expressed gene is found in the model mouse, the research focuses on Npas4, and a new insight is possibly provided for disease treatment.

The application provides a social behavior prediction method, device and equipment and medium, and relates to the technical field of artificial intelligence. The method comprises the following steps: obtaining social behavior initial data; wherein the social behavior initial data at least comprises a character portrait and a social behavior prediction task; inputting the character portrait and the social behavior prediction task into a trained social behavior prediction model to output an initial social behavior prediction result; the social behavior prediction model is obtained by supervising and fine-tuning a pre-trained large language model based on a social behavior reasoning data sample set. By using the prediction model fine-tuned based on the social behavior reasoning data, the explainable reasoning process and the corresponding behavior selection can be output simultaneously when the social behavior prediction is performed, so that the explainability of the decision-making process and the reliability of the behavior result are ensured simultaneously in a single prediction framework.

The invention provides a social disorder animal model construction method based on a basal lateral amygdaloid nucleus-screen nucleus neural circuit and application thereof, and belongs to the technical field of animal model construction. The method comprises the following steps: injecting a viral vector carrying a photosensitive protein gene or a photosuppressive protein gene into amygdaloid nucleus on the outer side of an animal basal to express neurons of cholecystokinin or neurons of CaMKII alpha; embedding an optical fiber above the screen-shaped core; first light stimulation is applied through an optical fiber to activate nerve projection from amygdaloid nucleus on the outer side of the substrate to the screen nucleus, and a social disorder animal model is obtained; or applying a second photostimulus to inhibit the projection, resulting in a social disorder relief animal model. According to the invention, specific photogenetic regulation and control of the BLACCK +-CLA neural circuit is realized for the first time, social behaviors can be accurately regulated and controlled without interfering with movement and anxiety levels, and a reliable experimental tool is provided for mechanism research and drug screening of social obstacles.

The embodiment of the invention provides an article recommendation method and device, equipment and a storage medium. The method comprises the steps of obtaining a to-be-processed account for article recommendation of a user, first social behavior data of at least one first account having an association relationship with the to-be-processed account, and first article preference data of at least one first account; determining a first weight coefficient of the at least one first account according to the first social behavior data of the at least one first account having an association relationship with the to-be-processed account; and if the first data scores of all the first accounts are greater than or equal to the preset data score, determining a to-be-recommended target article according to the first weight coefficient of the at least one first account and the first article preference data of the at least one first account. The method is used for improving the recommendation quality of new users or cold start accounts.

The invention discloses a smart traffic adaptive regulation and control system and method based on social perception, and belongs to the technical field of traffic Internet of Things. Comprising a multi-modal social perception layer module, an edge intelligent preprocessing node module, a dynamic social flow modeling engine module, a space-time social prediction engine module, an adaptive signal lamp optimization module, an Internet of Vehicles collaborative pushing module and a traffic closed-loop feedback module. A social event factor is dynamically injected through an LSTM-Transform hybrid model, and self-adaptive adjustment of space-time prediction is achieved; the accuracy and robustness of traffic prediction are remarkably improved, and the congestion risk can be accurately recognized in advance in the social event high-incidence period; and prediction misjudgment caused by neglecting social behaviors is avoided, so that the system can dynamically respond to traffic flow changes, the congestion pressure is effectively relieved, and the road traffic efficiency and the overall traffic smoothness are improved.

The application discloses an autism child social interaction behavior video image analysis method and system, belongs to the technical field of computer vision and medical image analysis, and comprises the following steps: a video acquisition step, wherein video images of a child and an assessor performing a structured social interaction task are acquired through a multi-angle camera; a human body posture estimation step, wherein two-person skeleton key point detection is performed and posture parameter sequences are calculated; a social signal detection step, wherein key social behavior events such as eye contact, social smile, directional gesture and body orientation response are identified; an interaction synchronism analysis step, wherein the time coupling degree of posture changes of both parties is calculated through cross-correlation analysis; and an evaluation report generation step, wherein a social interaction ability evaluation report is generated in the form of a radar chart by comprehensively considering multi-dimensional features. The application realizes objective quantitative evaluation of the social interaction ability of an autism child and improves the consistency and repeatability of evaluation.

The invention discloses a method for constructing a social anomaly mouse model, relates to the technical field of animal model construction, and constructs a social anomaly model of a filial generation mouse by performing bisphenol S exposure on a female mouse in a pregnancy and nursing period. According to the mouse model constructed by the invention, in the pregnancy and nursing period, BPS is exposed, and the development of left secondary motor cortex neurons is damaged, so that progeny is induced to have social behavior disorder; the activity of neurons in the left M2 brain region is activated, so that social behavior disorders can be effectively relieved. The invention not only clarifies the neural development mechanism of the environmental endocrine disrupter-induced autism-like social disorder, but also provides a new thought of activating left M2 neurons as a potential intervention means, and can be used for developing drugs for treating the social behavior disorder induced by the environmental endocrine disrupter; the invention provides a new direction for etiological research and treatment strategy exploration of neurodevelopment disorder diseases taking social defects as core symptoms, and is beneficial to promoting deep development of related medical research.

The invention belongs to the technical field of dog training, and particularly relates to a group behavior regulation and control method and system based on multi-dog cooperative training, and the method comprises the following steps: collecting the spatial position and social behavior data of dogs through an intelligent necklace; on the basis, constructing a group behavior map fusing the physical space relationship and the social influence; dynamically identifying a real-time role of each dog by utilizing a graph theory centrality index; according to the role and the current behavior state, a differential control instruction is generated through a state-role-behavior multi-dimensional instruction mapping model; and finally, executing an instruction and monitoring response data so as to optimize the model and realize closed-loop adaptive adjustment. According to the method, through accurate role identification and differentiated instruction distribution, the problem of group behavior conflict caused by unified instructions is effectively solved, the instruction conflict rate is remarkably reduced, and the efficiency and adaptability of group cooperative training are continuously improved by using a closed-loop learning mechanism.

The invention relates to the technical field of child social ability cultivation and man-machine interaction, and particularly discloses a game interaction method oriented to child social behavior guidance, which comprises the following steps: collecting child multi-modal behavior data, generating a social behavior event stream through structured processing, and matching with a social behavior atom library to obtain a behavior instance sequence with a label; calculating social activity, reciprocity response rate and emotion synchronization index based on the behavior instance sequence, dynamically judging the ability level of the child by adopting a clustering algorithm, and matching an adaptive task in combination with a social task knowledge graph; interactive guidance is realized through forward feedback and progressive prompt, the long-term ability evolution trend of children is predicted by using a three-layer stacked LSTM model, and initialization parameters are provided for the next round of interaction. According to the method, accurate perception, dynamic adaptation and sustainable development guidance of the social behaviors of the children are realized, and the scientificity and effectiveness of social training are effectively improved.

The embodiment of the invention provides an animal social analysis method and device, electronic equipment and a medium, and belongs to the technical field of artificial intelligence. The method comprises the following steps: extracting a global video frame sequence from a real-time multi-view video of an animal group; performing real-time group behavior recognition, individual behavior recognition and animal posture recognition on the global video frame sequence, and performing social contact pointing analysis on the animal group according to group social contact behavior categories, single animal behavior categories and target animal posture data obtained through real-time recognition to obtain group social contact pointing data; and according to the group social behavior category, the single animal behavior category and the group social pointing data, social information integration is carried out to obtain target animal social data. According to the embodiment of the invention, the social directivity analysis is carried out according to the group social behavior category, the single animal behavior category and the target animal posture data, so that the social directivity of the animal group social behavior can be accurately judged in real time, and the efficiency and precision of animal social analysis are improved.

The invention provides a community recommendation method based on interest induction propagation. According to the method, the accuracy and reliability of group recommendation are improved. The method comprises the following steps: firstly, carrying out preprocessing, interest intensity calculation and interest stability calculation on interest tags of community users, and then carrying out social behavior analysis; thirdly, calculating the self-sensing trust degree and mutual sensing trust degree of the user, obtaining the interest sensing trust degree through fusion calculation, building a trust degree network according to the interest sensing trust degree, calculating the interest influence, simulating the influence of behavior interaction in the community on the interest of the user by utilizing a sorting algorithm, and in the trust degree network, calculating the interest sensing trust degree of the user; and simulating a transmission process of interest influence by adopting a PageRank algorithm, calculating group interestingness in the community, and realizing community information recommendation through the group interestingness. According to the method, individual selection and group influence factors of community user interest decision making are innovatively combined, and the accuracy and reliability of group recommendation are remarkably improved.

The invention relates to the technical field of biological medicine, in particular to a medicine for targeting cathepsin B and application of the medicine in autism treatment. The medicine is prepared into an oral or injection preparation by synthesizing a small-molecule inhibitor with high selectivity and combining with pharmaceutic adjuvants, so that the activity of cathepsin B can be effectively inhibited, neuroinflammation can be relieved, and synaptic function balance can be recovered. Experiments show that the medicine remarkably improves social behavior defects and repetitive behaviors of BTBR T + Itpr3tf / J mice, and meanwhile, the activity of cathepsin B and the level of inflammatory factors in brain tissue are reduced. The dosage of the composition is 0.1-10 milligrams per kilogram of body weight, the administration route comprises oral administration or injection, and the storage condition is that the composition is stored in a dark place at the temperature of 2-8 DEG C. The invention provides a clear action mechanism and a remarkable treatment effect.

The application relates to the technical field of intelligent processing and reasoning of judicial documents, and discloses an interactive analysis system and method for case-related semantic deconstruction and dynamic reasoning, wherein the interactive analysis method for case-related semantic deconstruction and dynamic reasoning comprises the following steps: obtaining social platform data flow of known case-related personnel, and generating a multidimensional social behavior data set; using a coded language evolution sequence analysis algorithm to analyze the multidimensional social behavior data set, and outputting a coded language-behavior correlation characteristic matrix; processing the coded language-behavior correlation characteristic matrix through a psychometric mapping algorithm, and calculating a latent accomplice probability distribution; and using a multi-hop path search strategy to analyze a hidden contact chain through multiple intermediaries by using an indirect correlation mining algorithm. The application overcomes the monitoring failure problem caused by the continuous evolution of coded language semantics, solves the limitation of direct correlation analysis, and can effectively discover deep hidden criminal network members.

This invention discloses a system for detecting social behavior in laboratory animals, comprising implantable sensors, multiple receivers, and a host computer. The system, through the collaborative data acquisition of the implantable sensors and multiple receivers, simultaneously obtains co-occurrence information and behavioral category information of multiple observed laboratory animals, and judges their social behavior accordingly. This invention employs implantable telemetry technology to achieve long-term, continuous, and synchronous monitoring of physiological signals such as body temperature and movement in a multi-animal environment under low-interference conditions. It cleverly utilizes the multi-receiver deployment and receiver selection mechanism during wireless data transmission to achieve large-scale co-occurrence judgment, and further combines this with animal behavior category recognition to detect social behaviors in multiple observed animals.

The invention relates to the technical field of emotion regulation, in particular to a method and system for regulating emotion and social behaviors based on terahertz radiation. According to the technical scheme, the method comprises the following steps: directionally irradiating a head target region of a mammal object with terahertz waves; according to the method, by establishing the clear corresponding relation between the specific terahertz frequency and the emotional behavior regulation effect, the long-standing core problems of parameter chaos and unpredictable effect in the field are solved; based on the characteristics of non-ionizing radiation, a safe novel intervention way capable of avoiding side effects of drugs is provided, and the effectiveness and biological safety of operation are ensured through a safety parameter window verified by experiments; the method provided by the invention can generate a stable and repeatable behavior regulation effect.

Embodiments of the present application provide a rat social behavior recognition method and device, computer equipment and a storage medium, relating to the technical field of animal behavior recognition, wherein the method comprises: acquiring a video comprising two rats, and determining key points of each rat in each frame of the video; in each frame of the image, according to the key points of each rat, determining the coordinate information and the skeletal posture of the key points of each rat; in each frame of the image, according to the coordinate information and the skeletal posture of the key points of each rat, extracting the behavior features of the two rats; inputting the behavior features of the two rats in each frame of the image into a behavior recognition model, and the behavior recognition model outputs the social behavior type of the two rats in each frame of the image, and the behavior recognition model is obtained by training a machine learning component with historical behavior features and corresponding social behavior types as samples. The scheme can improve the efficiency and accuracy of rat social behavior recognition.

The invention relates to a social network subject simulation system and method based on a large language model, and belongs to the technical field of cognitive social simulation. In order to fill up evolvable psychological and action mechanisms existing in the cognitive social simulation field, the social network subject simulation system and method are provided, virtual subjects with dynamic memory, reflection and social behavior capabilities are constructed, and interaction and information spreading of multiple subjects in a virtual social environment are realized. Therefore, the public opinion forming and spreading process in a real social network is simulated.

The invention discloses an infant development assessment method and device, electronic equipment and a storage medium. The method comprises the steps of obtaining a target interaction video between a to-be-evaluated infant and a caregiver in response to triggering of an infant development evaluation event; for multiple frames of images in the target interaction video, determining a feature vector of each feature key point of the face image of the infant to be evaluated in the multiple frames of images in a face coordinate system; determining feature vector discrete coefficients of the multiple frames of images according to the feature vectors; and evaluating the social behavior development condition of the to-be-evaluated infant according to the feature vector discrete coefficient. Through the scheme, the social behavior development condition of the infant can be quickly, efficiently and accurately evaluated.

The invention discloses a drug delivery system for relieving autism cell exosome as well as a preparation method and application of the drug delivery system. The system takes a hybrid nano-vesicle and hedyotis diffusa exosome compound as a carrier to load a dopamine drug. The hybrid nano-vesicles are formed by fusing mesenchymal stem cell exosomes and lipidosome; the hedyotis diffusa exosome compound is prepared from a hedyotis diffusa exosome and chitosan. The invention further provides a preparation method of the delivery system. The preparation method comprises the steps of carrier construction, drug loading and purification. The delivery system has excellent biocompatibility, stability and blood brain barrier penetrating ability, and can realize targeted delivery and slow release of dopamine. Animal experiments show that the system can significantly improve social behaviors of autism model mice, reduce engraving behaviors and relieve anxiety mood, and shows a good treatment effect. The invention provides an efficient, safe and industrialized novel delivery strategy for drug treatment of autism.

The application provides a device for detecting prosocial behavior in mouse social behavior and a use method, relates to the technical field of animal behavior detection, and solves the technical problems of a small space of a behavior test device, inconvenient movement of a mouse, a long period, and the like in the prior art, which are not conducive to movement of the mouse after wearing a fiber and other facilities on the head; the technical scheme is that: a main test box body is provided, a larger test space is provided for the mouse, and an animal placing enclosure and a blank placing enclosure are symmetrically arranged on the left and right sides; the application can quickly obtain behavior comparison of the mouse in different environments, the required period is shorter, the behavior of the mouse can be observed and recorded from the top of the device as a whole, and image tracking and fiber recording are facilitated.