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Agentic AI’s OODA Loop Problem
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PRE
AI
DOI：10.1109/MSEC.2025.3604105.png)
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Abstract
En 中文
The OODA loop—for observe, orient, decide, act—is a framework to understand decision-making in adversarial situations. We apply the same framework to artificial intelligence agents, who have to make their decisions with untrustworthy observations and orientation. To solve this problem, we need new systems of input, processing, and output integrity.
Keywords:
Decision making
Training data
Application programming interfaces
Adversarial machine learning
Journal
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IF:
3
Papers:
47
Citations:
2.3K