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AI Summary: Introduces a temporal grounding mechanism that gives autonomous systems an internal sense of time allowing them to break out of infinite execution loops.
AI Summary: Introduces a temporal grounding mechanism that gives autonomous systems an internal sense of time allowing them to break out of infinite execution loops.
One of the most persistent failure modes in autonomous systems is the infinite loop where a process becomes stuck continuously re executing a failed call. We introduce temporal grounding a novel cognitive framework that grants systems an internal sense of computational time and execution history. By implementing a frustration metric that scales non linearly with repeated state visits the system is forced to autonomously break out of loops and escalate the issue. Empirical results show a massive reduction in stalled executions across open ended tasks.
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