39 results about "Collaborative intelligence" patented technology

A communications network such as a Global Multi Service Network is provided with a management system which includes a distributed control system. The distributed control system is an open community of co-operation intelligent software agents which individually have control, or responsibility for managing, one or more nodes of the communications network. There are software agents of more than one type and the service management agents which have control over nodes of the network enter a negotiation process with customer agents in the provision of new services, so as to meet the constraints of both customer requirements and the interest of the relevant service provider. In the event of agent failure, the service management agents initiate a bidding process to reallocate the responsibilities of a failed agent.

The present teaching relates to method, system, and medium of automatic re-routing a chat user in a dialog. A request is first received for re-routing the chat user, currently engaged in a dialog involving a first agent, to a second agent. The request comprises relevant information and context of the dialog that gives rise to the re-routing request. Based on the relevant information and the context of the dialog, a re-routing strategy is automatically determined in accordance with re-routing configurations. A second agent to which the chat user is to be re-routed to is then selected based on the re-routing strategy. The chat user is then re-routed to the second agent to continue the dialog.

Systems and methods for user interfaces for use on a computing device of a real-time collaborative computing system. A collaborative application runs on the computing device and displays information and data regarding the collaboration system and also receives user input via the user interface. The display interface arrangement may vary based on a type of collaborative session. Graphical user interfaces include a user interface based on a magnetic force model.

An information technology (IT) system of interest is analyzed using collaborative, community-based sharing of expert knowledge, analysis and advice through user-submitted analysis rules and / or user-submitted report templates. Users may submit rules that have been found to be useful in analyzing or managing IT systems. A rule may analyze a particular item of configuration data or performance data according to a predetermined criterion. Other users may apply these rules to their own systems' data and, thereby, utilize the collective expertise of the people who submitted the rules. Performance and configuration data from IT systems or components of the systems in various enterprises is collected and then sanitized by removing or masking identifying information before storing the sanitized data in a data warehouse. An IT manager may compare data from his / her IT system to historical data from the system or to data from IT systems having similar workloads, configurations, problems or according to other matching criteria, without obtaining confidential information about the comparison systems. Such comparisons may use the user-submitted rules. Reports are generated from these analyses and comparisons according to predefined and / or user-submitted report templates and report component templates for items such as text blocks, tables, graphs, charts and block diagrams.

An apparatus for creating a radio map includes a radio signal acquiring unit that acquires information on radio signals between one or more cooperative intelligent robots, a radio environment modeling unit that estimates radio strength for each cell configuring the radio map from the information on radio signals acquired by the radio signal acquiring unit, and a radio map creating unit that classifies a communication region of each cell and models the radio map according to the radio strength for each cell estimated by the radio environment modeling unit.

Systems and methods for real-time collaborative computing and collective intelligence are disclosed. A collaborative application runs on a collaborative server connected to a plurality of computing devices. Collaborative sessions are run wherein a group of independent users, networked over the internet, collaboratively answer questions in real-time, thereby harnessing their collective intelligence. Systems and methods for determining a group intent vector from a plurality of user intent vectors in response to user input, the group intent vector including a bias restoring vector to correct positional bias resulting from a target layout.

Systems and methods for real-time collaborative computing and collective intelligence are disclosed. A collaborative application runs on a collaborative server connected to a plurality of computing devices. Collaborative sessions are run wherein a group of independent users, networked over the internet, collaboratively answer questions in real-time, thereby harnessing their collective intelligence. Systems and methods for selection among a set of user-input suggestions. The group is divided into subgroups, each subgroup selecting one suggestion from a subgroup of suggestions. The process is repeated with the remaining selected suggestions until one final target is selected, by the entire group, from the remaining suggestions.

An insurance claim processing system may include an insurance claim database, an event processor component, a task engine component and a collaborative intelligent task processor. The insurance claim database may be configured to store and provide access to data in a data record that is related to an insurance claim. The event processor component may be executable with a computer to iteratively monitor the data in the data record and identify events. The task engine component may be executable with a computer in response to one of the identified events to generate tasks indicative of information that needs to be acquired based on the contents of the data record. The collaborative intelligent task processor may be executable with a computer to analyze a task generated by the task engine component and select an action plan that is responsive to the task. The action plan may include a first procedure that enables the collaborative intelligent task processor to acquire information related to the insurance claim, and a second procedure that enables the collaborative intelligent task processor to process the information to yield a result responsive to the task.

Systems and methods for real-time collaborative computing and collective intelligence are disclosed. A collaborative application runs on a collaborative server connected to a plurality of computing devices. Collaborative sessions are run wherein a group of independent users, networked over the internet, collaboratively answer questions in real-time, thereby harnessing their collective intelligence. Systems and methods for iterative selection among a set of user-input suggestions.

Systems and methods are for enabling a group of individuals, each using an individual computing device, to collaboratively answer questions or otherwise express a collaborative will / intent in real-time. The collaboration system comprises a plurality of computing devices, each of the devices being used by an individual user, each of the computing devices enabling its user to contribute to the emerging real-time group-wise intent. A collaboration server is disclosed that communicates remotely to the plurality of individual computing devices. Herein, a variety of inventive methods are disclosed for implementing a credit economy for the collaboration system. A credit amount is associated with each user. Credits are awarded to one or more users for certain events, such as successful completion of a collaborative session. Credits are decremented to one or more users for other events, such as for asking a question to be answered by the group.

An apparatus for creating a radio map includes a radio signal acquiring unit that acquires information on radio signals between one or more cooperative intelligent robots, a radio environment modeling unit that estimates radio strength for each cell configuring the radio map from the information on radio signals acquired by the radio signal acquiring unit, and a radio map creating unit that classifies a communication region of each cell and models the radio map according to the radio strength for each cell estimated by the radio environment modeling unit.

A computer implemented method for process data management displays a set of natural language questions and provides an organizational framework for passively and actively collecting natural language information so users can coordinate problem-solving and project development. It addresses the application domain of collaborative group process and / or collaborative intelligence among humans and / or intelligent agents. In one embodiment, the method collects responses to the trigger questions; displays natural language reaction questions relating to collection of reactions to the triggers and receiving responses to the reaction questions; receives inputs of action steps to address the problem based on the triggers and reactions; guides the user to identify conflicts based on the triggers, reactions, and actions steps; generates a navigable map based on the triggers, reactions, actions steps, and conflicts for use to support and track the problem-solving process; and displays prompts for evaluating the problem based on the map.

Systems and methods for user interfaces for use on a computing device of a real-time collaborative computing system. A collaborative application runs on the computing device and displays information and data regarding the collaboration system and also receives user input via the user interface. The display interface arrangement may vary based on a type of collaborative session. Graphical user interfaces include a user interface based on a magnetic force model.

A system for providing collaborative intelligent media playlists, comprising a playlist server that stores and operates an ordered list of media identifiers, a media indexing server that stores media identifiers and media resource locators, and an integration server that operates software-based interfaces for communication with electronic devices via a network, and a method for providing collaborative intelligent media playlists.

Systems and methods are for enabling a group of individuals, each using an individual computing device, to collaboratively answer questions or otherwise express a collaborative will / intent in real-time. The collaboration system comprises a plurality of computing devices, each of the devices being used by an individual user, each of the computing devices enabling its user to contribute to the emerging real-time group-wise intent. A collaboration server is disclosed that communicates remotely to the plurality of individual computing devices. Herein, a variety of inventive methods are disclosed for interfacing users in a real-time synchronized group-wise experience, and for deriving a convergent group intent from the collective user input.

Systems and methods for real-time collaborative computing and collective intelligence are disclosed. A collaborative application runs on a collaborative server connected to a plurality of computing devices. Collaborative sessions are run wherein a group of independent users, networked over the internet, collaboratively answer questions in real-time, thereby harnessing their collective intelligence. A user performance value is determined for each of a plurality of independent users in the group based on each user's participation as compared to other users in the collaborative group. A group cohesiveness score is determined that quantifies the group's overall collaborative effectiveness. In some embodiments, the group cohesiveness score and user performance values are used to adjust weighting factors that affect the relative impact of each of the plurality of users in the collaborative group. In some embodiments, adjusting the weighting factors is performed with the objective of increasing the effectiveness of the resulting collective intelligence.

The invention discloses a platform management system and method for realizing side-cloud collaborative intelligent instant service. The system is characterized in that the system comprises an interface service module, a controller, an orchestrator, MQTT message middleware, a node agent, a mirror image warehouse, a database, and a user interface; wherein the user interface, the database, the controller and the orchestrator are connected to the interface service module, the controller is further connected with MQTT message middleware, the MQTT message middleware is connected with the node agent,and the MQTT message middleware is connected with the interface service module. The platform management system for realizing side-cloud collaborative intelligent instant service provides an application description mode suitable for a universal side-cloud collaborative intelligent application, and further provides a platform management system for realizing side-cloud collaborative intelligence asa service through a data processing logic and a deployment scheme which contain the information and completely represent a complex cross-side-cloud artificial intelligence application in the description mode; a convenient interface is provided through the platform assembly to support efficient control of infrastructure and application life cycles.

An information technology (IT) system of interest is analyzed using collaborative, community-based sharing of expert knowledge, analysis and advice through user-submitted analysis rules and / or user-submitted report templates. Users may submit rules that have been found to be useful in analyzing or managing IT systems. A rule may analyze a particular item of configuration data or performance data according to a predetermined criterion. Other users may apply these rules to their own systems' data and, thereby, utilize the collective expertise of the people who submitted the rules. Performance and configuration data from IT systems or components of the systems in various enterprises is collected and then sanitized by removing or masking identifying information before storing the sanitized data in a data warehouse. An IT manager may compare data from his / her IT system to historical data from the system or to data from IT systems having similar workloads, configurations, problems or according to other matching criteria, without obtaining confidential information about the comparison systems. Such comparisons may use the user-submitted rules. Reports are generated from these analyses and comparisons according to predefined and / or user-submitted report templates and report component templates for items such as text blocks, tables, graphs, charts and block diagrams.

Systems and methods for real-time collaborative computing and collective intelligence are disclosed. A collaborative application runs on a collaborative server connected to a plurality of computing devices. Collaborative sessions are run wherein a group of independent users, networked over the internet, collaboratively answer questions in real-time, thereby harnessing their collective intelligence. Systems and methods for selection among a set of user-input suggestions. The group is divided into subgroups, each subgroup selecting one suggestion from a subgroup of suggestions. The process is repeated with the remaining selected suggestions until one final target is selected, by the entire group, from the remaining suggestions.

The invention relates to an expression recognition method based on brain-computer collaborative intelligence. The method mainly adopts a two-layer convolutional neural network to extract image visualfeatures of human face expressions, adopts a plurality of gating circulation units to extract electroencephalogram emotion features induced when the expressions are watched, establishes a mapping relation between the two features through a random forest regression model, and finally adopts K-neighbor classifier to carry out expression classification on the predicted electroencephalogram emotion features obtained by the regression model. The method comprises the steps of data acquisition, data preprocessing, image visual feature extraction, electroencephalogram emotion feature extraction, feature mapping and expression classification. Expression classification results show that a good classification result is obtained by adopting the predicted electroencephalogram emotion features. Comparedwith a traditional image vision method, the expression recognition method based on brain-computer collaborative intelligence is a promising emotion calculation method.

The invention discloses an emotion recognition method based on brain-computer generative adversarial. For an emotion recognition task, cognitive representation with emotions is obtained after the human brain processes information, while a machine only learns representation in an image form. If a generation relation between the cognitive representation with emotions and the representation in an image form can be established, a machine can be guided to learn through the human brain and endowed with the emotion cognitive ability of the human brain. In order to give information perceived by a human brain to a machine, a generation model from image visual features to electroencephalogram emotion features needs to be established, so that generation from formal representation to cognitive representation is realized. According to the method, the relation between electroencephalogram emotion features and image visual features is explored, the relation between formal representation and cognitive representation is established, and brain-computer collaborative intelligence is achieved. In order to reduce the difference between cognitive representation and formal representation and enable the formal representation to infinitely approach the cognitive representation, the invention designs an emotion recognition method based on brain-computer generative adversarial.

A global digital framework integrated by methods, systems, processes, and new thinking technologies focused on the development of secure, sustainable, collaborative, intelligent, resilient, and economically competitive municipalities. The frameworks intends to provide high quality knowledge, multimedia information, and municipal / city strategies in sectors such as education, security, energy, water, health, information technologies (IT), transportation, construction, food, environment, waste, and fmance; through the use of virtual reality technologies, algorithms, personal computer technology, big-data technologies, smart-phone technology, GPS technology, artificial intelligence systems, digital videos, behavioral change technologies, augmented reality systems, and digital advisory systems among other technologies.

The invention discloses a distributed multi-agent task cooperation method based on linear sequential logic, and solves the problem of multi-agent task decoupling. Each intelligent agent constructs a decoupling product Buchi automatic machine of the intelligent agent by detecting a coupling edge, and constructs an action sequence of the intelligent agent through the decoupling product Buchi automatic machine; the endpoints of the coupling edges correspond to actions needing cooperation; when each intelligent agent independently executes an action sequence of the intelligent agent by utilizing the decoupling product Buchi automaton, whether a currently executed action and a corresponding triggering condition are in the coupling set or not is judged, and if so, it is determined that the currently executed action is an action needing cooperation, and the cooperative intelligent agent is asked to cooperatively make an action; and when the agent fails, the task that the agent responsible forinheritance inherits the failed agent is elected.

The invention discloses an emotion recognition method based on brain-computer cross-modal migration. For an emotion recognition task, cognitive representation with emotions is obtained after a human brain processes information, what is obtained by machine learning is only the formal representation of an image, and if a migration relation between the cognitive representation and the formal representation can be established, machine learning is guided through the human brain, and the machine is endowed with the emotion cognitive ability of the human brain; in order to give information perceived by the human brain to the machine, a cross-modal migration model of an image mode and an electroencephalogram mode needs to be established, so that the migration relation between the formal representation and cognitive representation is obtained. According to the method, the migration relation between the electroencephalogram mode and the image mode is explored, the relation between formal representation and cognitive representation is established, and brain-computer collaborative intelligence is achieved. In order to reduce the difference between the cognitive representation and formal representation and enable the formal representation to infinitely approach the cognitive representation, the invention designs the emotion recognition method based the brain-computer cross-modal migration.