30 results about "Adaptive behavior" patented technology

Methods for operating robotic devices (i.e., “robots”) that employ adaptive behavior relative to neighboring robots and external (e.g., environmental) conditions. Each robot is capable of receiving, processing, and acting on one or more multi-device primitive commands that describe a task the robot will perform in response to other robots and the external conditions. The commands facilitate a distributed command and control structure, relieving a central apparatus or operator from the need to monitor the progress of each robot. This virtually eliminates the corresponding constraint on the maximum number of robots that can be deployed to perform a task (e.g., data collection, mapping, searching). By increasing the number of robots, the efficiency in completing the task is also increased.

A flexible, intelligent electronic procurement method and system that emulates and learns from the adaptive behavior of a user trying to find a product in an electronic catalog. The invention allows for searching heterogeneous catalogs in virtually any format, and does not require pre-defined hierarchies, nor the pre-loading of vendor catalog contents, nor the scrubbing of vendor data. It does not impose fixed structures on the user, and it does not force the user to think like someone else. Instead, the invention allows the user to choose their own way to navigate a catalog of items, and then by recording successful search scenarios and storing that knowledge in a dynamic collection of search paths, the invention organically evolves. As the collection of search paths can be accessed by other users, the utility of the invention increases over time once implemented in a given environment.

Methods for operating, such as methods for dispersing and clustering, robotic devices (i.e., “robots”) employ adaptive behavior relative to neighboring robots and external (e.g., environmental) conditions. Each robot is capable of receiving, processing, and acting on one or more multi-device primitive commands that describe a task the robot will perform in response to other robots and the external conditions. The commands facilitate a distributed command and control structure, relieving a central apparatus or operator from the need to monitor the progress of each robot. This virtually eliminates the corresponding constraint on the maximum number of robots that can be deployed to perform a task (e.g., data collection, mapping, searching, dispersion, and retrieval). By increasing the number of robots, the efficiency in completing the task is also increased.

The present invention features methods for operating, such as methods for dispersing and clustering, robotic devices (i.e., “robots”) that employ adaptive behavior relative to neighboring robots and external (e.g., environmental) conditions. Each robot is capable of receiving, processing, and acting on one or more multi-device primitive commands that describe a task the robot will perform in response to other robots and the external conditions. The commands facilitate a distributed command and control structure, relieving a central apparatus or operator from the need to monitor the progress of each robot. This virtually eliminates the corresponding constraint on the maximum number of robots that can be deployed to perform a task (e.g., data collection, mapping, searching, dispersion, and retrieval). By increasing the number of robots, the efficiency in completing the task is also increased.

A system and method for behavior modification through dynamic identification of behavior patterns, assistance in finding and implementing healthy alternatives to undesirable behavior patterns, preparation of dynamically variable user-specific programs, monitoring of current user activities, and presenting feedback and information to the user. The system and method further support incorporation of professional and other information into a user-specific package from which the user-specific program is determined, and synchronization and data integrity across the platforms of the system.

A system and method for behavior modification through dynamic identification of behavior patterns, assistance in finding and implementing healthy alternatives to undesirable behavior patterns, preparation of dynamically variable user-specific programs, monitoring of current user activities, and presenting feedback and information to the user. The system and method further support incorporation of professional and other information into a user-specific package from which the user-specific program is determined, and synchronization and data integrity across the platforms of the system.

Methods for operating robotic devices (i.e., “robots”) that employ adaptive behavior relative to neighboring robots and external (e.g., environmental) conditions. Each robot is capable of receiving, processing, and acting on one or more multi-device primitive commands that describe a task the robot will perform in response to other robots and the external conditions. The commands facilitate a distributed command and control structure, relieving a central apparatus or operator from the need to monitor the progress of each robot. This virtually eliminates the corresponding constraint on the maximum number of robots that can be deployed to perform a task (e.g., data collection, mapping, searching). By increasing the number of robots, the efficiency in completing the task is also increased.

The architecture and the method of operation of a receiver core are described. The core performs clock and data recovery on an incoming serial data stream transmitted across a wired media, such as a chip-to-chip or card-to-card interconnect. The bit error rate and accuracy of the recovery are optimized without centering of oversampling. Further, random errors due to edge mis-tracking are minimized. The receiver utilizes a phase rotator to detect the edge position of the bits of the data stream, select the optimum data sample and generate early and late signals if the detected edge is not in the expected position. A phase locked loop provides a frequency source for the phase rotator. At least three evenly spaced samples are detected for each bit. A sample processing algorithm, preferably an adaptive behavior algorithm, is used for centering the bit edge between two of the samples.

A system, method and program product for providing measure the completeness of a task in a web based environment and for providing dynamic marketing and other adaptive behavior based on how far a user has completed the task. A system is provided that includes: a task definition system for associating subsets of documents available via a content delivery system with a plurality of tasks; a tracking system for tracking which documents have been viewed by a user; a task determination system for determining which of the plurality of tasks the user is engaged in performing; and a progress analysis system for analyzing a progress the user has achieved towards completing the task.

The invention discloses an adaptive behavior identification method based on physical properties. The method comprises the following steps that: collecting acceleration data in a movement process as a training sample, filtering the training sample by a Kalman filter, calculating the physical property of one integral period of each category of action as a sample feature value, adopting a dynamic sliding window of which the size is changeable to process a real-time data stream, selecting the average value and the attraction of each feature value as a voting basis, carrying out classification through voting, and finally, dynamically updating a sample feature value through an incremental learning process to enable the sample feature value to gradually approach to the behavior habits of the user to achieve a better behavior identification purpose. The method exhibits flexible adaptation and a high identification rate for individual users.

A synthetic nervous system (10) capable of rudimental learning and self-organization for robotic applications having a control circuit (190) and servo actuators (224) using oscillating continuously variable analog voltages to mimic natural bio-neural processes. Simple oscillators (1-8) capable of being modulated in frequency, phase, amplitude, and DC offset act as analog processing elements or oscillating infinite state machines. A central pattern generator (140) utilizing periodic, quasi-periodic, or chaotic oscillators or phase shifters, or a combination thereof, along with a basic motor neuron circuit (314) enables multiple servos to coordinate their behavior to enable bio-inspired locomotion such as walking, swimming, flapping, crawling, and the like. Sensors (200) interfaced to the control circuit (190) provide a wide range of adaptive behavior such as following a light source, avoiding an obstacle, and shifting balance point. Overlapping or concurrent sensor input can provide complex behavior with minimal circuitry.

The system and method of the present invention process clarified emotional response data in order to guide next step adaptive behavior. Emotional responses with predetermined clarified intensities are sorted. The best quality clarified intensity or intensities are then selected as the ‘heart of the matter’, which is then shown to a user to reveal how the user is most uniquely responding to a particular subject or issue. The user is then given guidance on how to respond to the particular subject or issue thereby guiding the user's behavior in response to such subject or issue.

A micro-traffic simulation system based on multi-intelligent body and non-adaptive behavior comprises simulation environment module, traffic entity agent parameter configuration boundary module, traffic entity agent generator module, region management module, communication module, concept presentation module, faith and desire as well as object inference module, scare-behavior description module, anxiety behavior description module, self-wish module, plan and execution module.

The acceptance of hearing systems is to be improved. To this end there is provision for the control circuit for controlling a directional microphone circuit and / or a noise reduction circuit to feature a timer with which a parameter of the relevant circuit is able to be changed as a function of the time. Time-adaptive withdrawal of the effect of these circuits can for example enable an ear supplied with a new hearing aid to be slowly trained to localization and noise suppression.

A microscopic traffic simulation system based on multi-agent and non-adaptive behavior in the field of computer application technology, comprising: a simulation environment module, a traffic entity Agent parameter configuration interface module, a traffic entity Agent generator module, an area management module, a communication module, Concept representation module, belief, expectation and goal reasoning module, panic behavior description module, anxiety behavior description module, self-desire module, planning and execution module. The present invention can provide accurate behavior description and efficient behavior calculation model of traffic entities in the simulation environment, so that the simulation system can effectively reflect that the traffic entities rush to the same exit when encountering the emergency situation of traffic disaster, The phenomenon of squeezing and peering between entities provides a basis for the formulation of the diversion command plan.

The invention discloses a method for establishing a multi-agent model for residential area selection. The method comprises the following steps: establishing an adaptive behavior model of a household agent in a residential site selection process, and setting the household agent, wherein each household agent has the following attributes: age, marriage status, members, deposit, income and vehicles; wherein each household intelligent agent has seven life cycle stages: birth, marriage, child tending, child leaving home, retirement, elderly people alone and death; judging the satisfaction degree ofthe home agent to the current address. For each family agent, when a family is moved, the family agent must be based on the necessity of a new life stage. Different facilities of the residential areaare compared to adapt to new places to input city information and family information. Parameters are adjusted, and the selection of resident living site selection is judged. The model can simulate theresident residence relocation process under the influence of urban central area residence lifting policies.

An adaptive self-centering device (ASCD) which uses one or more ratchet-pawl mechanisms. The hysteretic slip force of the ASCD preferably comes from a friction mechanism. The self-centering originates from the ratcheting of the pawl over the ratchet wheel and a self-centering device, in response to a force from an apparatus such as a spring. The nonlinear hardening of the apparatus, which conforms to the favorable adaptive behavior sought in modern day passive devices, stems from the mechanism of the lever within the apparatus that transforms the linear motion into rotatory motion.

The invention discloses an indoor environment monitoring system and method based on group adaptive behavior recognition. The indoor environment monitoring system comprises an indoor environment monitoring system, a user environment demand feedback system based on group action recognition, a server and an indoor environment control system. The indoor environment monitoring method comprises the following steps of: monitoring an indoor environment in real time to obtain indoor environment data; carrying out real-time monitoring on the indoor user environment adaptive behavior, and acquiring indoor real-time user environment demand feedback information; and generating an equipment control instruction according to the indoor environment data and the user environment demand feedback information so as to control the indoor equipment. According to the indoor environment monitoring system and the indoor environment monitoring method, the real environment demand fed back by the user group unconsciously and adaptively in real time is combined with the objective indoor environment data, so that the indoor environment is optimized and adjusted more effectively, the feeling and satisfaction of the user to the indoor environment are improved, zero disturbance to the user is realized, and meanwhile, energy conservation is realized.

A manifestation of user frustration associated with an action currently being performed by an apparatus is detected. The action is modified so as to alleviate the user frustration. The apparatus determines whether the modification to the action results in alleviating the user frustration, and may store data that causes the modification to the action to be subsequently performed.

An adaptive behavior recognition method based on physical attributes, by collecting the acceleration data of the motion process as training samples, using the Kalman filter to filter the training samples, and calculating the physical attributes of a complete cycle of each type of action as the sample feature value, A variable-sized dynamic sliding window is used to process real-time data streams, and the average value and gravity of each feature value are selected as the basis for voting, and classification is performed by voting. Finally, through the incremental learning process, the sample feature value is dynamically updated, so that it gradually tends to the user's behavior habits, and achieves better behavior recognition purposes. The invention has good flexibility and adaptability to individual users, and has a high recognition rate.

The invention provides an advantage estimation method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring a current environment state; inputting the current environment state into the advantage estimation model to obtain an advantage action obtained by carrying out advantage estimation on the basis of the current environment state by the advantage estimation model, wherein the advantage estimation model is obtained by training based on a teaching data set and a behavior cloning model, the teaching data set comprises a sample environment state and a sample action corresponding to the sample environment state, and the behavior clone model is obtained based on training of the teaching data set. According to the invention, the advantage estimation model is trained based on the teaching data set and the behavior clone model, through the self-adaptive behavior clone model, the teaching data are fully utilized, expert experience in the historical teaching data is automatically mined, adverse effects possibly brought by incomplete teaching data are avoided, the advantage estimation performance of the advantage estimation model is enhanced, and the advantage estimation accuracy in a complex scene is improved.

The invention discloses a self-adaptive software UML modeling and a formal verification method thereof, which are mainly used to deal with the problems of modeling and verification of self-adaptive software, and the specific steps include: (1) establishing a conceptual model of self-adaptive software; (2) By extending UML to introduce new stereotypes, tagged values ​​and constraints, establish a visual model of adaptive software, including adaptive software structural model adaptive class diagram and behavioral model adaptive sequence diagram; (3) design model conversion algorithm will The behavior model of the adaptive software is converted into a timed automaton network, and the formal model of the adaptive software is established; (4) The TCTL temporal logic specification describing the nature of the adaptive software is given, and the model checking tool UPPAAL is used to verify the validity of the adaptive software model Reliability, and further optimize the UML model of the adaptive software according to the feedback results. The invention can effectively reduce the complexity of software self-adaptive modeling and verification, and improve the modeling efficiency and model reliability of software self-adaptive.

The present invention relates to the technical field of automobile driving behavior analysis, in particular to an adaptive driving behavior analysis method and its device. Firstly, the vehicle driving state parameters such as rotational speed, acceleration and vehicle speed are collected, calculated, and the transmission ratio is obtained; the rotational speed is divided into m rotational speed intervals , divide the transmission ratio into n gear intervals, calculate the average value of the transmission ratio and acceleration of each speed interval and gear interval, and obtain the average value of the transmission ratio and the average acceleration, and obtain comparative data; collect real-time driving state parameters of the car and Compare with the comparison data to analyze whether the car is bad driving. The invention continuously collects the driving data of the car, and can fully establish the benchmark for the driver's driving behavior analysis. The more data, the more it can reflect the driver's normal driving behavior, and it can accurately compare the driver's bad driving behavior. It is the standard for judging step-shift vehicles and step-change cars, and the judgment accuracy is high.

A design method of an air-pollution-responding plant agent model comprises a dosage-reaction model and parametric defining step, wherein reaction trend of a plant agent is simulated to obtain an S-shaped dosage response curve that depicts a relation between exogeneous pollutants and plant physiological reaction, and four parameters required to define the curve are defined; a plant agent internal state set step, wherein four attributes are used to abstractly express individual damage differences for plants based on a first portion dosage-reaction plant responding mode, defining state attributeinformation of the plant agent; a plant agent adaptive behavior rule step, wherein response intensity index that a plant for atmospheric pollutants, rules for plant agent damage degree are detailed and judged; based on plant agent adaptive modeling, the dynamic change of a plant to a response environment is achieved through changes in rule parameters, and a plant agent operating step is built. Thedesign method has good applicable prospect and applicable value.

The invention belongs to computer vision pattern recognition and video image processing methods, including: establishing a three-dimensional space-time sub-frame cube in the model of establishing video human behavior recognition, establishing human behavior feature space, clustering processing, updating labels, and establishing video human behavior recognition In the recognition of models and human behaviors, extract three-dimensional space-time sub-frame cubes from surveillance videos, extract human behavior features, determine the categories of human sub-behaviors in each video, and classify and merge videos with sub-category labels; and the current international understanding of Hollywood2 human behavior Compared with the highest recognition accuracy of the database, it has increased by 16.5%. Therefore, the invention has the ability to automatically extract more discriminative, adaptive, universal and invariant human behavior characteristics, reduces the over-fitting phenomenon and gradient diffusion problems in the neural network, and effectively improves human behavior in complex environments. The accuracy of recognition can be widely used in on-site video surveillance and video content retrieval.