It has been observed that the system occasionally misses IDLE states in scenarios that should clearly be recognized as such. This suggests a need for an improved detection mechanism within the AI algorithms that monitor and interpret system states.
Expected Behavior
The AI should accurately detect all instances of IDLE states, even in edge cases or scenarios where the indicators are not immediately obvious based on current detection logic.
Suggested Solution
Implement an additional check within the AI's state detection logic to better identify IDLE states. This could involve analyzing additional metrics or patterns that are indicative of an IDLE state but are currently overlooked.
Impact
Improving IDLE detection accuracy will enhance system reliability by ensuring that all relevant states are correctly identified and handled, thereby reducing the risk of errors or oversights in system monitoring and control.
System Info:
Description
It has been observed that the system occasionally misses IDLE states in scenarios that should clearly be recognized as such. This suggests a need for an improved detection mechanism within the AI algorithms that monitor and interpret system states.
Expected Behavior
The AI should accurately detect all instances of IDLE states, even in edge cases or scenarios where the indicators are not immediately obvious based on current detection logic.
Suggested Solution
Implement an additional check within the AI's state detection logic to better identify IDLE states. This could involve analyzing additional metrics or patterns that are indicative of an IDLE state but are currently overlooked.
Impact
Improving IDLE detection accuracy will enhance system reliability by ensuring that all relevant states are correctly identified and handled, thereby reducing the risk of errors or oversights in system monitoring and control.