Resource Consumption Control System Calibration via Performance Feedback
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Solution Overview
Problem
Existing control systems for managing resource consumption by agents provide inaccurate estimates and struggle to adapt to variations, leading to poor communication of individual consumption needs and inconsistent measurement units.
Innovation Solution
The system compares performance feedback with the output of a performance model to calibrate resource consumption control, transforming predicted expenditure into specific and normalized units for resource distribution, and adjusts consumption instructions based on performance metrics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If typical control systems employ models to estimate individual consumption needs, then resource consumption can be controlled, but the estimates are inaccurate and the models fail to adapt to variations in agents
Solution Approach 1:
The system continuously compares actual agent performance metrics against predicted performance from the model, using the discrepancies to recalibrate model parameters. This feedback loop enables the system to improve estimation accuracy while adapting to individual agent variations over time.
Solution Approach 2:
The system dynamically adjusts model parameters based on observed agent behavior and performance data. By changing parameters in response to actual performance measurements, the model adapts to variations in agents while maintaining accurate consumption estimates.
2Adaptability or versatility
If control systems use inconsistent measurement units, then they can operate with diverse data, but communication of consumption needs becomes problematic and requires human intervention
Solution Approach 1:
The system automatically performs unit conversion and normalization, acting as an intermediary between diverse measurement units and the control decisions. This eliminates the need for human intervention to resolve unit discrepancies while maintaining the ability to handle diverse data formats.
3Device complexity
If control systems fail to account for poor consumption measurement or tracking by agents, then the system remains simple, but performance criteria cannot be accurately evaluated
Solution Approach 1:
The system automatically detects and adjusts for measurement quality issues without requiring complex external validation mechanisms. By monitoring the reliability of agent-reported consumption data and adjusting evaluations accordingly, the system maintains simplicity while improving performance evaluation accuracy.
Data Source
AI summary
Embodiments are directed to improving performance criterion in a control session. Information associated with an agent may be obtained. A predicted expenditure may be generated based on the information and a performance model. The predicted expenditure may be transformed into specific-units amounts of multiple resource types based on the characteristics information. Each specific-units amount may be transformed into a normalized-units amount based on one or more normalized-units amounts of one or more other resource types. An instruction may be provided to the agent based on the normalized-units amounts. Metrics based on monitoring the agent may be obtained. One or more portions of the metrics may be compared to one or more outputs of the performance model. One or more outputs of the model may be modified based on the comparison to increase a correlation between one or more outputs and the metrics.