79 results about "Collective intelligence" patented technology

A collective intelligence convergence system based on a required reading opinion and a method thereof which calculates a result using the required reading opinion which necessarily includes opinions of experts in a corresponding field and includes opinions of ordinary persons when a public opinion or questionnaire survey is conducted.

Systems and methods to leverage and manage data and knowledge in a M2M or Internet of Things (IoT) network are provided. More particularly, a cognitive intelligence platform for an IoT network that provides autonomic decision support system at or near real-time and executes a dynamic runtime is provided. The hardware, software and communication design of the platform replicates the structural and operational model of the human nervous system to achieve cognitive intelligence through adaptation, collaborative learning, knowledge sharing and self-adjustment. Further, in one embodiment, the cognitive intelligence platform has three logical processing layers of increasing complexity, each of which has agents that use statistical and machine learning techniques and algorithms to resolve situational needs and update knowledge. Furthermore, each processing layer of the platform has a basic level of intelligence and additionally the hierarchy of layers aggregates the learning and intelligence at each layer.

The invention provides a traffic jam avoiding prompting system based on a collective intelligence network. The traffic jam avoiding prompting system consists of a webpage traffic hot spot digging module, a microblog traffic hot spot digging module, a road condition rule predicting module, a jam hot spot verification and management module, a real-time traffic hot spot server, a traveling route planning module based on hot spot avoiding, a traffic hot spot and avoiding route display module and intelligent mobile phone end application software. The traffic jam avoiding prompting system faces the collective intelligence sensing network, is combined with the traditional traffic information sources, carries out digging and prediction on the urban traffic hot spots on the basis of the data activation technology, and further provides the traffic jam hot spot display and avoiding prompt service for intelligent terminal users. The traffic jam avoiding prompting system has the advantages that the data is from the multi-source collective intelligence network, the accuracy is good, the checking comprehensive rate is high, the hot spots are captured and fed back in real time, high efficiency and practicability are realized, the design is good, the operation is stable, the installation is convenient, the traffic jam avoiding prompting system can become a tool capable of providing wide and practical intelligent traffic information for urban residents, and the efficient information prompt is provided for the users to realize the smooth traveling.

A method for generating collective intelligence in order to automate resource recommendations for improving a computer is disclosed. In one embodiment, the method for generating, using at least one processor, collective intelligence in memory in order to recommend a resource for improving a computer comprises accessing configuration data associated with various resources at a plurality of computers, identifying usage patterns, based on the configuration data, associated with the various resources, wherein the identified usage patterns indicate at least one related resource for at least one resource of the various resources and determining a resource of the at least one related resource to utilize at a computer based on the identified usage patterns.

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. Methods for collaborative selection of a target point on an image displayed on the computing devices. Methods for collaborative zooming and panning of an image displayed on the computing devices.

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.

The invention discloses a detecting method for zombie users of social networks, comprising the following steps of: extracting items and information distributed by detected users in a predetermined time period; analyzing the items and the information according to behavior properties and characteristics of the zombie users, and classifying the users according with the behavior properties and the characteristics of the zombie users as suspected zombie users; and performing the semantic analysis for the suspected zombie users according to the items and the information, and classifying the users according with the semantic features of the zombie users as the zombie users. The effectively automatic detecting method for the zombie users of the social networks provided by the invention can conveniently and accurately detect the zombie users in the social networks to guarantee the original service intention of the social networks, so that network communities and information distribution communication platforms capable of reflecting collective intelligence and group hotspots are built.

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. Methods are disclosed for assigning users to factions during a collaborative decision process, wherein the collaborative server repeatedly checks the input of each user with respect to a plurality of proposed answers and assigns the user to the faction associated with the answer the user is trying to select. Furthermore, user assessments are made based on a stored time-history of faction associations for that user during a decision period. Such assessments include, but are not limited to, determining which users were entrenched, which were flexible, and which were fickle, during the collective intelligence decision making process.

The invention discloses a cooperative editing method and a system thereof based on Hall for Workshop of Metasynthetic Engineering. The method mainly comprises the steps of forming initial cooperative editing file and conducting synthetic integration cooperative edit. The system adopts the manner of C / S or B / S. Each client terminal is linked with a server through LAN or internet; the server comprises a message server, a database server, a streaming media server and a file server; and the system provides a series of qualitative and quantitative study and discussion tools. The method and the system in the invention solve the problems in the cooperative edit process, when a single editor confronts a relatively complex condition and can not determine how to edit, a plurality of cooperative editors and collective intelligence are needed to conduct cooperative edit; and different opinions of editors are coordinated by using the method of Hall for Workshop of Metasynthetic Engineering from the qualitative view to the quantitative view. The method and the system can provide convenience for a plurality of persons who conduct file edit cooperatively.

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.

A prediction processing system, method, and method for doing business is disclosed. The prediction processing system can collect, process, and publish event-outcome information. The prediction processing system can dynamically filter participants into groupings and iteratively optimize odds calculations over time. A proposal framework consisting of a various abstract proposal types can model and settle propositions. Game propositions can be automatically generated based on event categorization relationships, and users can themselves automatically establish their own game proposition and programs. The prediction processing system can provide game players or others with access to collective intelligence, including prediction information and information derived from prediction information. The prediction processing system can create groupings of better-performing predictors and provide them with information not generally available or additional stakes to increase the weight of their predictions in odds calculations. The prediction processing system can provide access to event-outcome information on a for-fee subscription basis.

Systems and methods are described that facilitate using end-user feedback to automatically distinguish between a normal behavior and a device failure which can be a hard failure (e.g., a device malfunction) or a soft failure. For instance, upon detection of a usage switch from a first device to a second device by a user, a survey message is sent to the user to solicit information regarding the reasons for the switch. If the switch was triggered by a device malfunction, the detected device failure is verified and an alert is sent to an administrator and / or potentially impacted users. If the switch was triggered by the user's need for functionality (e.g., color printing, collation, etc.) not provided by the first device, which is otherwise functioning properly, then the detected failure is determined to be a failure and the failure detection algorithm is updated accordingly.

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 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. Methods are disclosed for, during a collaborative session, real-time changing of the amount of influence the user has on determining the collaborative answer.

A method and system for a plurality of reporters to collectively self-organize, for the purpose of identifying, measuring and recording team-member activity that is causal to team achievement. The method includes steps of role selection, information discovery, information reporting and information aggregation of team-member activity that is causal to team achievement. It includes means for creating a common perspective among reporters, a common means to judge the value of team-members' contributions, means for collective self-organizing and self-training by reporters, and means for valuing reporters' contributions to the reporting process. One preferred embodiment is a game that enables a large group of humans to determine the critical few actions and collaborations that lead to winning a basketball game viewed live, via TV or internet broadcast. Another preferred embodiment is a game for maximizing the selling activity of a commercial sales group.

A method and system of teaching success, comprising: instructing student(s) 1) to select at least one Creative Ambition(s) or compelling personal goal (CA′); 2) to identify at least one Thought (T) as in a STARS roadmap for achieving CA′; 3) to ascertain in which thought awareness stage their T for achieving CA′ is; and 4) to adjust their pleasure index so that the at least one T that is in a thought awareness stage other than a Willed Action or Willed Inaction is displaced to the Willed Action or Willed Inaction thought awareness stage. CA′ may be derived from a Supreme Collective Intelligence (SCI′) or from a collective group of people (SCI). A method and a system, comprising: teaching that a higher Success Ratio may be achieved by de-compartmentalizing success and offsetting intensification of resistance from the Ego by tagging or attaching an intense pleasure or displeasure to achieving the CA′.

The present invention relates to the field of collective intelligence. More specifically, to the collaborative acquisition of knowledge and the relationships among said knowledge and the application of acquired knowledge and relationships to solving problems. The present invention presents an interface to a community of users that will create nodes and relationships in an artificial neural network and then weight each node and relationship through votes from one or more users.

Systems and methods are for enabling a group of individuals, each using an individual computing device, to collaboratively answer questions in real time as a unified swarm-based intelligence. 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 moderates the closed-loop system, enabling convergence upon a unified group intent. In some embodiments the group is divided into sub-groups, wherein each sub-group responds to a different sub-factor of a main prompt.

A method for user collaboration in a business intelligence software tool includes executing a computing server in an operating system of a computing device including a processing unit and system memory. The computing server comprises a business intelligence tool application adapted for rendering data to a group of users for business intelligence. Using a client computer, users access the business intelligence tool application made available by the computing server. Collaborative user notes are added to a representation of data presented by the business intelligence tool application to the group of users. The user collaborative notes are saved on a data page for subsequent retrieval. The data page and user collaborative notes are shared with the group of users for collective intelligence.

A system, method and apparatus for network security monitoring, information sharing and collective intelligence between and among at least a first central processing unit and at least a second central processing unit connected together by a network. The system includes a network interface device with hardware-based logic for recognizing and cataloging individual sessions, wherein the network interface card is in communication with the network. The network interface device includes onboard cryptographic key management components with symmetric key algorithms, an onboard packet encryption software module using derived keys to encrypt network packets, and software for storing encrypted copies of network packets as blocks. Third party analyst hardware and software derive keys necessary to retrieve encrypted network packets.

Systems and methods for real-time collaborative computing and collective intelligence are disclosed. A hybrid swarm intelligence system includes a central collaboration server, a plurality of computing devices in communication with the central server, and an agent application in communication with the central server. In response to information sent from the central server during a group collaboration session, user input is sent to the central server via the computing devices, and machine input is given to the server via the agent application, which determines input based on rules, additional data, and / or machine learning techniques. The central server uses the user input and the machine input to repeatedly provide feedback to the agent application and users during the group collaboration session.

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. Methods are disclosed for assigning users to factions during a collaborative decision process, wherein the collaborative server repeatedly checks the input of each user with respect to a plurality of proposed answers and assigns the user to the faction associated with the answer the user is trying to select. Furthermore, user assessments are made based on a stored time-history of faction associations for that user during a decision period. Such assessments include, but are not limited to, determining which users were entrenched, which were flexible, and which were fickle, during the collective intelligence decision making process.

Systems and methods for eliciting from a user a probabilistic indication of the likelihood of two possible outcomes of a future event. During a session a user manipulates a wager marker on a graphical user interface displayed on a display, where the wager marker is moveable between two limits. Probabilities for each of the two limits are determined based on the position of the marker. Values representing the probabilities are updated on the interface in real time.

A method and system of teaching success, comprising: instructing student(s) 1) to select at least one Creative Ambition(s) or compelling personal goal (CA′); 2) to identify at least one Thought (T) as in a STARS roadmap for achieving CA′; 3) to ascertain in which thought awareness stage their T for achieving CA′ is; and 4) to adjust their pleasure index so that the at least one T that is in a thought awareness stage other than a Willed Action or Willed Inaction is displaced to the Willed Action or Willed Inaction thought awareness stage. CA′ may be derived from a Supreme Collective Intelligence (SCI′) or from a collective group of people (SCI). A method and a system, comprising: teaching that a higher Success Ratio may be achieved by de-compartmentalizing success and offsetting intensification of resistance from the Ego by tagging or attaching an intense pleasure or displeasure to achieving the CA′.

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. Methods are disclosed for, during a collaborative session, real-time changing of the amount of influence the user has on determining the collaborative answer.

Systems and methods for real-time collaborative computing and collective intelligence are disclosed. A hybrid swarm intelligence system includes a central collaboration server, a plurality of computing devices in communication with the central server, and an agent application in communication with the central server. In response to information sent from the central server during a group collaboration session, user input is sent to the central server via the computing devices, and machine input is given to the server via the agent application, which determines input based on rules, additional data, and / or machine learning techniques. The central server uses the user input and the machine input to repeatedly provide feedback to the agent application and users during the group collaboration session.

The present invention relates to a system for sharing emotion data and a method of sharing emotion data using the same, which are capable of obtaining collective intelligence through an emotion data set for specific video data, etc. The system for sharing emotion data comprises a plurality of clients each configured to comprise input means for inputting emotion data, storage means for storing the inputted emotion data, and a display unit for displaying integrated data received to input the emotion data; a sharing server configured to comprise formation means for receiving a plurality of the emotion data from the plurality of clients and forming an emotion data set and to transmit the integrated data to the clients; and a main database coupled to the sharing server and configured to store at least any one of the integrated data or the emotion data set formed in the sharing server.

A method is disclosed for a search engine or part of a search engine which utilizes collective intelligence, evaluation, and judgment, including web intelligence, to create and adapt the content of a generalized index hierarchy for digital resources to be searched. Digital resources to be searched can be stored and managed as a localized or distributed repository of images, video, audio, graphical or other multimedia data objects, as well as structured composite items, services, programs, modules, files, documents, systems, applications, networked peers, and agents, which may be difficult or costly to be indexed. In particular embodiments the claimed invention focuses on the indexing of semantic contents and / or pragmatic characteristics of such digital resources. By tracking and analyzing the searching behavior of users, proxies, and / or meta-search-engines, a search index can be created, tuned, improved and optimized. The claimed method in certain embodiments also incorporates an adaptive and evolution mechanism which allows relevant digital resources that may otherwise be overlooked to be found. The claimed invention can be applied to databases, web searching, personal / local search, community search, and broad-based or vertical search engines for internet, intranet, extranet or other uses.