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.

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.

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.

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.

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.