System and method for an intelligent framework, flow, and agent
AssigneeNewo.Ai
InventorsDavid Yan, Aleksandr Mertvetsov, Viacheslav Seledkin
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Abstract
The present invention relates to a system and a method implemented by an intelligent module. The system comprises an interface, an artificial intelligence module, and an intelligent flow framework module. The intelligent flow framework module is communicatively coupled to the interface and the artificial intelligence module. The intelligent flow framework module is configured to define at least one task based on an event and contextual data for completing a mission. The system provides the ability to adapt quickly to changing circumstances and make intelligent decisions to ensure the successful completion of missions/objectives.
Claims29
A system comprising:
- an interface;
- an artificial intelligence module;
- and
- an intelligent flow framework module communicatively coupled to the interface and the artificial intelligence module, wherein the intelligent flow framework module comprises a knowledgebase;
- a contextual unit and a flow control engine, and is configured to generate a task flow based on an event and contextual data, wherein the contextual data includes a current state of an actor and environment, wherein the contextual unit is configured to monitor and update the contextual data during execution of the task flow based on changes in the current state of the actor and the environment, and wherein the flow control engine is configured to control execution of the task flow during execution by dynamically selecting or altering subsequent actions of the task flow based on the updated contextual data, and to reconfigure the task flow during execution.
A method implemented by an intelligent flow framework module comprising:
- receiving an event;
- embedding a contextual data to the event, including a current state of an actor and environment;
- defining at least one task based on the event and the embedded contextual data;
- assigning the at least one task to at least one intelligent flow agent;
- and
- monitoring and updating the current state of the contextual data during execution to control the task flow by dynamically selecting or altering subsequent actions of the task flow based on the updated contextual data, and to reconfigure the task flow during execution based on changes in the current state of the actor and the environment.
A method implemented by an intelligent flow framework module comprising:
- receiving at least one threshold-grade contextual data, including a current state of an actor and environment;
- generating an event based on the at least one contextual data;
- and
- relaying the event and the contextual data to a generative learning model for determining an execution of a task flow, wherein relaying of the event and the contextual data is routed through an intelligent flow agent, wherein the contextual data is monitored and updated during execution of the task flow based on changes in the current state of the actor and the environment, and wherein the execution of the task flow includes dynamically selecting or altering subsequent actions of the task flow based on the updated contextual data, and reconfiguring the task flow during execution.
Dependencies are inferred from the claim text.