Abstract: Collaborative computing and electronic records are disclosed. An entity that may be able to help achieve an objective is discovered and a connection to the entity established. A meta-language is used to exchange with the entity a description of the objective and a description of the entity. The meta-language is used to negotiate with the entity a contract to help achieve the objective. In the event a contract to help achieve the objective is reached, performing a self-configuration in accordance with the contract.

Abstract: An alert that is generated by a first orchestrator associated with a first subsystem or received from one or more distributed orchestrators that are associated with one or more corresponding subsystems is analyzed. The alert is triggered by a change in behavior determined by a behavioral analysis algorithm associated with the first orchestrator or corresponding behavior analysis algorithms associated with the one or more distributed orchestrators. It is determined whether an alert is indicative of a false positive based on an objective associated with the first orchestrator, an algorithm associated with the first orchestrator and one or more constraints associated with the first orchestrator. The alert is filtered in response to determining that the alert is indicative of the false positive.

Abstract: Collaborative computing and electronic records are disclosed. An entity that may be able to help achieve an objective is discovered and a connection to the entity established. A meta-language is used to exchange with the entity a description of the objective and a description of the entity. The meta-language is used to negotiate with the entity a contract to help achieve the objective. In the event a contract to help achieve the objective is reached, performing a self-configuration in accordance with the contract.

Abstract: An alert that is generated by a first orchestrator associated with a first subsystem or received from one or more distributed orchestrators that are associated with one or more corresponding subsystems is analyzed. The alert is triggered by a change in behavior determined by a behavioral analysis algorithm associated with the first orchestrator or corresponding behavior analysis algorithms associated with the one or more distributed orchestrators. It is determined whether an alert is indicative of a false positive based on an objective associated with the first orchestrator, an algorithm associated with the first orchestrator and one or more constraints associated with the first orchestrator. The alert is filtered in response to determining that the alert is indicative of the false positive.

Abstract: An alert that is generated by a first orchestrator associated with a first subsystem or received from one or more distributed orchestrators that are associated with one or more corresponding subsystems is analyzed. The alert is triggered by a change in behavior determined by a behavioral analysis algorithm associated with the first orchestrator or corresponding behavior analysis algorithms associated with the one or more distributed orchestrators. It is determined whether an alert is indicative of a false positive based on an objective associated with the first orchestrator, an algorithm associated with the first orchestrator and one or more constraints associated with the first orchestrator. The alert is filtered in response to determining that the alert is indicative of the false positive.

Abstract: In an intelligent system for providing and recording personalized context-specific financial advice, a method may comprise receiving, from a client device, a request for advice regarding a hierarchical portfolio of assets owned by an investor. The method may further comprise generating, based on the output of a neural network machine learning model, artificial intelligence suggestions for changing the hierarchical portfolio, assembling the AI suggestions and suggestion locations into an actionable artificial intelligence view of the hierarchical portfolio, and transmitting the AI view to the client device. The method may further comprise making a cryptocurrency payment related to service fees associated with the AI view via a blockchain network.

Abstract: An alert that is generated by a first orchestrator associated with a first subsystem or received from one or more distributed orchestrators that are associated with one or more corresponding subsystems is analyzed. The alert is triggered by a change in behavior determined by a behavioral analysis algorithm associated with the first orchestrator or corresponding behavior analysis algorithms associated with the one or more distributed orchestrators. It is determined whether an alert is indicative of a false positive based on an objective associated with the first orchestrator, an algorithm associated with the first orchestrator and one or more constraints associated with the first orchestrator. The alert is filtered in response to determining that the alert is indicative of the false positive.

Abstract: In an intelligent system for providing and recording personalized context-specific financial advice, a method may comprise receiving, from a client device, a request for advice regarding a hierarchical portfolio of assets owned by an investor. The method may further comprise generating, based on the output of a neural network machine learning model, artificial intelligence suggestions for changing the hierarchical portfolio, assembling the AI suggestions and suggestion locations into an actionable artificial intelligence view of the hierarchical portfolio, and transmitting the AI view to the client device. The method may further comprise making a cryptocurrency payment related to service fees associated with the AI view via a blockchain network.

Abstract: An alert that is generated by a first orchestrator associated with a first subsystem or received from one or more distributed orchestrators that are associated with one or more corresponding subsystems is analyzed. The alert is triggered by a change in behavior determined by a behavioral analysis algorithm associated with the first orchestrator or corresponding behavior analysis algorithms associated with the one or more distributed orchestrators. It is determined whether an alert is indicative of a false positive based on an objective associated with the first orchestrator, an algorithm associated with the first orchestrator and one or more constraints associated with the first orchestrator. The alert is filtered in response to determining that the alert is indicative of the false positive.

Abstract: In an intelligent system for providing and recording personalized context-specific financial advice, a method may comprise receiving, from a client device, a request for advice regarding a hierarchical portfolio of assets owned by an investor. The method may further comprise generating, based on the output of a neural network machine learning model, artificial intelligence suggestions for changing the hierarchical portfolio, assembling the AI suggestions and suggestion locations into an actionable artificial intelligence view of the hierarchical portfolio, and transmitting the AI view to the client device. The method may further comprise making a cryptocurrency payment related to service fees associated with the AI view via a blockchain network.

Abstract: Collaborative computing and electronic records are disclosed. An entity that may be able to help achieve an objective is discovered and a connection to the entity established. A meta-language is used to exchange with the entity a description of the objective and a description of the entity. The meta-language is used to negotiate with the entity a contract to help achieve the objective. In the event a contract to help achieve the objective is reached, performing a self-configuration in accordance with the contract.

Abstract: Collaborative computing and electronic records are disclosed. An entity that may be able to help achieve an objective is discovered and a connection to the entity established. A meta-language is used to exchange with the entity a description of the objective and a description of the entity. The meta-language is used to negotiate with the entity a contract to help achieve the objective. In the event a contract to help achieve the objective is reached, performing a self-configuration in accordance with the contract.

Abstract: Image data of a node with which an orchestration module is associated is received. The node is an electronic device and the image data of the node is received in a language associated with the node. The image data of the node with which the orchestration module is associated is translated into a meta-language associated with an orchestrator network comprising the orchestration module and one or more other orchestration modules associated one or more corresponding nodes. A scope of information to provide from the orchestration module to the one or more other orchestration modules associated with one or more corresponding nodes is determined. The determined information is communicated to the one or more other orchestration modules in the meta-language understood by the orchestration module and the one or more other orchestration modules associated with one or more corresponding nodes.

Abstract: Mobile base station information is exchanged with an other base station. One or more parameters are exchanged with the other base station based on the base station information. A mobile base station is configured based at least in part on the negotiated one or more parameters. The configured mobile base station is used to provide cellular coverage to one or more user devices.

Abstract: A wireless communication system is disclosed. A data store stores for each of a plurality of nodes, each node comprising a wireless communication system element, a node image data comprising metadata about or otherwise associated with the node. In various embodiments, the data store has the capability to create and support an organically changing schema, and provides a mechanism to propagate changes to the schema or data, but only as necessary. A processor receives an indication of an objective and uses node image data stored in the data store to identify programmatically from among the plurality of nodes a node to help achieve the objective and to determine the configuration of the node.

Abstract: An indication of an application-related objective is received at a first agent associated with a first device. One or more meta-language based descriptions comprising device data stored in a data store are used to identify a second device from a plurality of devices to help the first device to achieve the application-related objective. At least in part by exchanging with a second agent associated with the second device one or more programmatically determined bids and responses to bids, a mutually compatible set of configurations for the first device and the second device to cooperate with each other are determined to help achieve the application-related objective. The mutually compatible set of configurations comprising parameters are agreed upon by the first device and the second device. The first device and the second device are configured based at least in part on the mutually compatible set of configurations.

Abstract: Mobile base station information is exchanged with an other base station. One or more parameters are exchanged with the other base station based on the base station information. A mobile base station is configured based at least in part on the negotiated one or more parameters. The configured mobile base station is used to provide cellular coverage to one or more user devices.

Abstract: Mobile base station information is exchanged with an other base station. One or more parameters are exchanged with the other base station based on the base station information. A mobile base station is configured based at least in part on the negotiated one or more parameters. The configured mobile base station is used to provide cellular coverage to one or more user devices.

Abstract: A wireless communication system is disclosed. A data store stores for each of a plurality of nodes, each node comprising a wireless communication system element, a node image data comprising metadata about or otherwise associated with the node. In various embodiments, the data store has the capability to create and support an organically changing schema, and provides a mechanism to propagate changes to the schema or data, but only as necessary. A processor receives an indication of an objective and uses node image data stored in the data store to identify programmatically from among the plurality of nodes a node to help achieve the objective and to determine the configuration of the node.

Abstract: Collaborative computing and electronic records are disclosed. An entity that may be able to help achieve an objective is discovered and a connection to the entity established. A meta-language is used to exchange with the entity a description of the objective and a description of the entity. The meta-language is used to negotiate with the entity a contract to help achieve the objective. In the event a contract to help achieve the objective is reached, performing a self-configuration in accordance with the contract.