Autonomous Action Strategy Hierarchies for Dynamic Objective Execution
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Solution Overview
Problem
Autonomous systems face challenges in adapting their strategies to dynamic environments, leading to inappropriate behavior, long computation times, and the unsuitability of static action strategies in changing situations.
Innovation Solution
The implementation of a method and system that allows autonomous systems to identify and prioritize active objectives, generate and execute action strategies based on real-time conditions, and adjust actions dynamically by using a processor to manage a hierarchy of actions, prioritize tasks, and update objectives based on environmental data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If static action strategies are used in autonomous systems, then the system structure is simple and easy to implement, but the system cannot adapt to dynamic environments and changes
Solution Approach 1:
The patent implements dynamic action strategies where the autonomous system continuously monitors environmental conditions and adjusts its action hierarchy in real-time. The system transitions from static pre-programmed behaviors to dynamic decision-making processes that adapt to changing environments, resolving the contradiction between adaptability and complexity by making the system structure itself dynamic rather than static
Solution Approach 2:
The patent incorporates feedback mechanisms where the autonomous system evaluates the outcomes of executed actions and uses this information to refine future decision-making. The system receives feedback from environmental sensors and system state monitors, processes this information through updated action hierarchies, and adjusts its behavior accordingly, enabling adaptation without requiring complete system redesign
2Reliability
If comprehensive action strategies are generated to handle all possible situations, then the system can respond to any abnormal event, but the computation time becomes excessively long
Solution Approach 1:
The patent segments the action strategy into a hierarchical structure with multiple levels of abstraction. Instead of generating one comprehensive action plan for all possible situations, the system divides actions into primary objectives, sub-objectives, and specific executable actions. This segmentation allows the system to process only the relevant portion of the action hierarchy needed for the current situation, reducing computation time while maintaining reliability
Solution Approach 2:
The patent pre-establishes action hierarchies and decision frameworks before the autonomous system operates in the environment. Common action patterns and response protocols are prepared in advance, allowing the system to quickly retrieve and execute appropriate responses during abnormal events without performing extensive real-time computation, thus reducing loss of time while maintaining comprehensive coverage
3Ease of operation
If the autonomous system continuously monitors and updates action strategies in real-time, then the system behavior is appropriate for current conditions, but the computational resources and processing time increase
Solution Approach 1:
The patent implements partial monitoring and updating by selectively processing only those environmental changes and system states that require action strategy adjustments. Instead of continuously analyzing all possible parameters, the system focuses on critical thresholds and significant deviations from normal operation, performing computational updates only when necessary to maintain appropriate behavior while reducing energy consumption
Data Source
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AI summary
Systems and methods for managing an execution of an action strategy by an autonomous system are disclosed. The action strategy comprises a series of actions to be performed by the autonomous system to accomplish a corresponding active objective. The method comprises identifying, by a processor of the autonomous system, an active objective to be accomplished by the autonomous system, the active objective describing a hierarchy of actions to be performed to accomplish the corresponding active objective. The method comprises generating, by the processor, an action strategy from the hierarchy of actions of the active objective, the actions of the action strategy corresponding to the actions of the hierarchy of actions of the active objective and executing the action strategy. Upon completion of an execution of an action, the processor provides data comprising information relating to a state of completion of the action strategy.