45 results about "Cooperative behavior" patented technology

The invention belongs to the technical field of converged ubiquitous network multi-terminal cooperation, and discloses a repeated game-based converged ubiquitous network multi-terminal cooperation trust mechanism. The mechanism combines the repeated game theory and comprises the following steps: firstly, establishing a single-phase game model for neighboring nodes of a ubiquitous network to obtain a corresponding payment strategy, then extending the model, and finally establishing an infinitely repeated game model to improve cooperation behavior of selfish nodes. The repeated game-based converged ubiquitous network multi-terminal cooperation trust mechanism can effectively promote the cooperation among the selfish nodes, improves the performances of a terminal organization in respects of perception, communication, calculation, service presence and the like, improves the handling capacity of a ubiquitous network environment, prolongs the service life of the network and increases the total prospective earnings of the network.

The invention relates to a preparation method of a modified compound filler filled breakdown-resisting epoxy composite. The preparation method comprises the following steps: through the modification of a silane coupling agent gamma-APS, amino groups are introduced on the surfaces of Al2O3 and h-BN; hyperwheworries branched polymers (HBP) are grafted on the surfaces of the primarily modified fillers through taking the grafted amino groups as active sites to obtain a modified filler Al2O3-HBP and a modified filler BN-HBP; the two modified fillers are fully mixed with an epoxy resin matrix in different proportions; the epoxy composite is prepared through a two-step stepped heating and curing method. The alternating-current breakdown strength of the prepared epoxy composite shows the obvious cooperative behavior, the system breakdown strength can be regulated through changing the proportion of the fillers; when the BN-HBP accounts for 80 wt% of the compound filler, the performance of the BN-HBP is optimized, only 10 wt% of compound filler is added, and the alternating current strength of the epoxy composite can be improved by 15.7% as compared with that of the epoxy matrix.

An autonomous and adaptive method and system for secure, policy-based control of remote and locally controlled computing devices. The invention uses a policy-based access control mechanism to achieve adaptive and dynamic behavior modification based on the context of the local operating environment of the computing device. The modification system assesses the desirability of actions or outcomes as determined by the policy rules and modifies them accordingly, thus altering the behavior of the computing device. The system can utilize a machine learning technique, pattern matching and heuristic evaluation. When applied to the control of robotic and autonomous devices, the system allows the robot to offload adjudication to a remote system and also facilitates cooperative behaviors between robots operating in dynamic environments.

The invention discloses a building disaster evacuation simulation method based on an evacuation object social force evolution game model, which comprises the following steps: establishing an evacuation object social force model; Based on game theory, dividing the behavior of people at the exit into two kinds: cooperative behavior and competitive behavior, then, establishimg an evolutionary game model based on evacuation object social force model, and reproducing the cooperative and competitive behaviors between people by cellular automata, obtaining and saving the resultant force of social forces received by all evacuated objects according to the received related parameters, obtaining a time step by utilizing the maximum resultant force value therein, and determining the expected speed ofthe evacuated objects in the time period and the expected position after the time period; When the evacuation object confirms the advance, updating the position of the evacuation object and the speedthereof; When not advancing, only updating the speed of the evacuated object is ed; finishing the process when the evacuation object completes the evacuation in the current building; Otherwise, executing the process in a loop.

The invention provides a swarm-robot mixed search method based on a biological feeding behavior and belongs to the technical field of robots. The invention aims at providing the swarm-robot mixed search method based on the biological feeding behavior, which utilizes swarm robots to search a target and promotes a swarm self-organization principle and cooperative behavior emerging principle. The swarm-robot mixed search method comprises the following steps: modeling a search environment by adopting a grid method; dividing a search region into a plurality of sub-regions and arranging a search sequence of each sub-region; and searching by adopting a mixed search method. According to the swarm-robot mixed search method, the robots are used for replacing people to finish a lot of work, such as searching of survivors of disasters including mine clearance and explosive handling, space detection and earthquakes, and mining accident searching and rescuing and so on.

The embodiment of the invention provides a virtual object control method, a virtual object control system, a virtual object control device, a computer readable medium and electronic equipment, and relates to the technical field of computers. The method comprises the steps of determining a target behavior used for representing cooperation between virtual objects; detecting whether the virtual object meets a preset cooperation condition or not in the current scene; if the preset cooperation condition is met, controlling the virtual object to execute the target behavior according to a preset common model control strategy; if the preset cooperation condition is not met, controlling the virtual object to execute the virtual behavior according to a preset object model control strategy; wherein the virtual behavior comprises a non-cooperative behavior of the virtual object. By implementing the technical scheme provided by the embodiment of the invention, the problem that effective matching isdifficult to generate between the virtual objects can be overcome to a certain extent, so that the matching degree between the virtual objects is improved, the game experience of a user is improved,and the user viscosity is improved.

The invention discloses a complex system reliability simulation method based on self-adaptive intelligent bodies, wherein the method utilizes intelligent self-adaptive intelligent body objects to construct the basic working unit of a complex system. Through the communication mechanism between the self-adaptive intelligent body objects and the intelligent decision behavior of the self-adaptive intelligent bodies, the multi self-adaptive intelligent body cooperative network describing the internal function relation and the reliability behavior of the complex system is constructed. Through the cooperative behavior between the self-adaptive bodies, the change of the external working environment, and the working activity and the fault state of each functional unit of the system are simulated, and the working data of each unit of the system and the whole system is recorded, so as to realize the analysis and evaluation of the whole system reliability behavior and the characteristics. Due to the utilization of the self-adaptive intelligent bodies to define the basic working unit of the system, the factors such as the life characteristic, the function characteristic, the working state and the reliability degradation of the complex system can be described, and the accuracy of the reliability analysis is improved.

The invention relates to a behavior test platform for detecting animal cooperation behaviors. The test platform which is a behavior detector for evaluating the cooperation ability of different animalscomprises a central control module, a photoelectric detecting module, a cooperation reward module and a shell device for fixing the modules above. The test platform has the advantages that the advanced cooperation behaviors of the animals can be standardized and quantified, the cooperation behaviors of to-be-tested animals can be detected in a certain period of time, the dynamic motion images ofthe to-be-tested animals can be collected through a camera, and the captured video signal is connected with a computer through an image collecting card and displayed and recorded in a computer window;simple and convenient equipment is provided for the researches of the animal cooperation behaviors, and the researches of related neurobiology can also be benefited.

The invention relates to the field of human-computer interaction, provides a multi-modal interaction-based multi-human-computer cooperative behavior monitoring system and aims to solve the technical problems of how to obtain interactive behavior data of all users and apply the data to a multi-human cooperative command behavior. The multi-modal interaction-based multi-human cooperative behavior monitoring system provided by the invention comprises a cloud server and a plurality of subsystems, wherein the subsystems comprise image collecting devices for collecting current spatial images, controldevices for recognizing faces and carrying out semantic analysis, wake-up recognition and sound source positioning, power amplifying devices and a plurality of sound receiving devices for collectingsounds in space and judging sound source positions according to the collected sounds; the cloud server is used for obtaining recognition results and analysis results according to the subsystems and sending control instructions to the control devices of the subsystems; and the control devices are used for controlling the corresponding power amplifying devices to play response voices according to the control instructions. Through the system provided by the invention, the interaction behaviors of all the users can be obtained and the multi-human cooperative operation can be realized.

The invention relates to a maintenance system based on the security and the reliability of cooperative UAVs. The maintenance system comprises multiple airborne system networks and a ground station system; each UAV has an airborne system network; and the airborne system network comprises a state monitoring sub-system, a cooperative UAV link transmission sub-system and an air-to-ground transmissionsub-system. The invention further relates to a maintenance method based on the security and the reliability of the cooperative UAVs. The system can monitor the health state of each UAV in the cooperative UAVs online in real time, and also can make a reasonable maintenance safeguard according to the health state of the UAV. Simultaneously, due to use of an ATG technology, transmission of maintenance safeguard system information does not influence communication between the UAV and the ground.

The invention discloses an office building thermal comfort control system and method based on deep reinforcement learning. The system comprises a deep reinforcement learning intelligent agent module which is connected with a heating, ventilation and air conditioning subsystem and a personal comfort subsystem, and comprises a control strategy sub-module and an online learning sub-module; the control strategy sub-module can output cooperative behaviors of the heating, ventilating and air conditioning subsystem and the personal comfort subsystem based on the environment state information and sendthe cooperative behavior information to the heating, ventilating and air conditioning subsystem and the personal comfort subsystem to be executed; and the online learning sub-module and the control strategy sub-module work in parallel, the deep neural network is trained online by using the environment state information and the cooperative behavior information, and the trained deep neural networkmodel is copied to the control strategy sub-module regularly for decision making. Personalized user thermal comfort experience can be provided, and the total electric charge/energy consumption of thesystem can be optimized.

The invention discloses a multi-aircraft air assault cooperative behavior simulation method under the cooperation of a jammer, and the method comprises the steps: carrying out the modeling of battlefield situation information, carrying out the modeling of a blue-party target threat degree, and carrying out the simulation of air assault cooperative combat based on a behavior tree. The threat of blue water surface ships and ground air defense units faced by our jammer mixed formation can be accurately evaluated, and the matching degree of blue targets and red weapons in threat processing actions can be improved; the behavior tree-based jammer formation air assault cooperative combat behavior is established, the shielding capability of the jammer can be efficiently utilized, so that the bomber and the fighter plane achieve the maximum combat benefit, and the problem of combat cooperation of multiple types and a large number of red-party combat aircrafts under shielding cooperation of the jammer is effectively solved; and the survival rate of the red jammer and the completion rate of the air assault combat task are effectively improved.

Multi-agent platforms are able to perform interactive improvisational scripts and/or interactive cooperative behaviors. The platforms can autonomously recognize their situation. Once the platforms discover their situation, they are able to configure themselves accordingly, such as by reacting to motion and proximity. Each of the platforms is embedded with a unique ID.

The invention discloses a multi-machine air combat cooperative behavior simulation method under electronic interference shielding. The method comprises the following steps: modeling battlefield situation information, modeling a blue target threat degree, and simulating multi-machine air assault cooperation based on a behavior tree. According to the blue party threat assessment model provided by the invention, the blue party air fighter plane and jammer formation threat faced by our jammer mixed formation can be accurately assessed, and the matching degree of blue party targets and red party weapons in threat processing actions can be improved; a behavior tree-based jammer formation multi-aircraft air combat cooperative combat behavior is established, and the shielding capability of jammers can be efficiently utilized, so that efficient cooperation of electronic jammers and fighter plane groups in air hybrid formation can be simulated and deduced by typical air combat; through comprehensive application, the survival rate of the red jammer and the completion rate of an air multi-aircraft air combat cooperative combat task can be effectively improved.

The invention relates to a method for cooperative behavior measurement aiming at open source software. Traditional methods depend on experience and lack specific quantitative standards; and most methods are based on correlations in one cooperation and neglect the situation that two developers may conduct cooperation for many times, but the multiple times of cooperation between the developers will generate different effects on the open source software quality, so analysis results of cooperative behaviors cannot obey actual project development situations. According to the invention, open source data is acquired at first, the cooperation amount between the project developers is extracted, and a project cooperative matrix can be established; according to the project cooperative matrix, a point weight mean value of a network of the project developers as well as a mean value of weight cluster coefficients in the development network are computed; and linear weighting summation is conducted on the point weight mean value and the weight cluster coefficient mean value, so a cooperative behavior measurement value of an open source project can be obtained. According to the invention, though numerical measurement of the developers' cooperative behaviors in the open source software, a quantified value of the developers' cooperation of the whole software can be obtained, so that quality assessment of the open source software can be supported.

The invention discloses a team construction method based on an academic network, which takes a paper co-authoring behavior of a scholar as a concrete expression of a cooperative behavior, and establishes a academic team construction model by utilizing the cooperative behavior among scholars. Firstly, the invention proposes a cooperative distance to more comprehensively measure the cooperative behavior among scholars, and establishes a new cooperative relationship network. In order to enrich the network characteristics and improve the clustering effect, the invention maps the network to geodesic space, combines density gradient transfer and K. The means clustering method yields the final team partition. Experimental results show that the model proposed by the invention is suitable for dealing with complex academic network structure, and has higher accuracy and reliability than other team identification methods. The experimental results of the invention also verify the universality of the team science phenomenon in the academic network, and can well reflect the composition and structure of the academic team in the network. The invention provides a new method of team construction in an academic network.

The invention discloses a workflow management technique based on trans-regional and trans-company flow cooperation, and relates to a trans-regional and trans-company workflow cooperation process, a cooperation metal model and a cooperation level model of workflow view technology, a workflow view generating method of a cooperation scene and a workflow prototype system supporting flow service cooperation and workflow views. The technique realizes a workflow view function in the system, supports trans-regional and trans-company flow, realizes separated internal flow execution, view management and external service execution, and fulfills the purposes of improving the cooperation capability and hiding information. The embodiments of the invention provide a workflow view generating method based on a cooperation scene and a workflow prototype system supporting flow service cooperation and workflow views for solving the problems how trans-regional and trans-company activities communicate, workflow engines of different regions and companies understand the service flow definition of the opposite party, trans-regional and trans-company processes are controlled and restrained, cooperative behaviors of all parties are specified and the like.

The invention discloses a public product investment experiment simulation system and an implementation method, which comprises an input module, an output module and a modeling module with a simulation program, wherein, relevant experiment parameters are input in the input module, the modeling module performs the demonstration operation in the simulation environment, the final result is output by the output module, the experimental procedure designs four groups of different information conditions, collects subjects to do the experiment, the collected data is divided into four large groups according to information display conditions, traditional linear regression analysis and nerve network algorithm are respectively adopted to analyze the experiment data, the investment probability of a forecasting function is obtained according to nerve network learning, the forecasting function is adopted in the simulation experiment, and the implementation method verifies which information display condition has the maximum stimulation for condition cooperation behaviors, and verifies which information display condition is favorable to obtain the maximum public resources theoretically and practically; therefore, the invention has important realistic significance.