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: 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: An artificial intelligence system is encapsulated in a conductor/orchestrator network. The artificial intelligence system is observed to determine whether the artificial intelligence system is creating a negative side effect.

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: One or more objectives, one or more algorithms, and one or more constraints of an orchestrator with which a processor is associated is implemented. The orchestrator is associated with an AI-based algorithm. Based on one or more policies to improve a performance of the orchestrator, the orchestrator is moved to a different part of a system via a communication interface.

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: 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.