Agentic AI for autonomous anomaly management in complex systems

2025/07/21 by Barenji, Reza Vatankhah, Khoshgoftar, Sina · 1 citation
#Artificial Intelligence (cs.AI) #Emerging Technologies (cs.ET) #FOS: Computer and information sciences

paper · doi:10.48550/arxiv.2507.15676

Abstract

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.

Citations

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• A Multi-AI Agent System for Autonomous Optimization of Agentic AI Solutions via Iterative Refinement and LLM-Driven Feedback Loops
• On Limitations of LLM as Annotator for Low Resource Languages
• KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks
• Agent-as-a-Judge: Evaluate Agents with Agents
• Agent S: An Open Agentic Framework that Uses Computers Like a Human
• LLM With Tools: A Survey
• AI Agents That Matter
• LogiCode: an LLM-Driven Framework for Logical Anomaly Detection
• Improve Temporal Awareness of LLMs for Sequential Recommendation
• LogSD: Detecting Anomalies from System Logs through Self-supervised Learning and Frequency-based Masking
• LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction
• Determinants of LLM-assisted Decision-Making
• Large Language Models for Mathematical Reasoning: Progresses and Challenges
• Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models
• HuntGPT: Integrating Machine Learning-Based Anomaly Detection and Explainable AI with Large Language Models (LLMs)
• Hypothesis Search: Inductive Reasoning with Language Models
• ALGAN: Time Series Anomaly Detection with Adjusted-LSTM GAN
• Enabling Intelligent Interactions between an Agent and an LLM: A Reinforcement Learning Approach
• Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via Prompt Augmented by ChatGPT
• OpenAGI: When LLM Meets Domain Experts
• From Explanation to Action: An End-to-End Human-in-the-loop Framework for Anomaly Reasoning and Management
• Toolformer: Language Models Can Teach Themselves to Use Tools
• A Survey on Self-supervised Learning: Algorithms, Applications, and Future Trends
• A Survey on Explainable Anomaly Detection
• Deep Unsupervised Image Anomaly Detection: An Information Theoretic Framework
• A Unifying Review of Deep and Shallow Anomaly Detection
• Parametric versus Semi and Nonparametric Regression Models
• HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face

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