Agentic AI for autonomous anomaly management in complex systems
Fuente:
arXiv
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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | |
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| _version_ | 1866918100044087296 |
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| author | Barenji, Reza Vatankhah Khoshgoftar, Sina |
| author_facet | Barenji, Reza Vatankhah Khoshgoftar, Sina |
| contents | This paper explores the potential of agentic AI in autonomously detecting and responding to anomalies within complex systems, emphasizing its ability to transform traditional, human-dependent anomaly management methods. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_15676 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Agentic AI for autonomous anomaly management in complex systems Barenji, Reza Vatankhah Khoshgoftar, Sina Artificial Intelligence Emerging Technologies This paper explores the potential of agentic AI in autonomously detecting and responding to anomalies within complex systems, emphasizing its ability to transform traditional, human-dependent anomaly management methods. |
| title | Agentic AI for autonomous anomaly management in complex systems |
| topic | Artificial Intelligence Emerging Technologies |
| url | https://arxiv.org/abs/2507.15676 |