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Generative AI for Self-Adaptive Systems: State of the Art and Research Roadmap

A paper exploring the potential of generative artificial intelligence to enhance self-adaptive systems.

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Generative AI for Self-Adaptive Systems: State of the Art and Research Roadmap

By Jialong Li, Mingyue Zhang, Nianyu Li
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The authors discuss the alignment between generative AI and self-adaptive system functionalities, highlighting opportunities for improvement. They present a state-of-the-art review and research roadmap for integrating GenAI into SASs.

The paper focuses on the capabilities of large language models in data comprehension and logical reasoning.

Abstract

The authors discuss the alignment between generative AI and self-adaptive system functionalities, highlighting opportunities for improvement. They present a state-of-the-art review and research roadmap for integrating GenAI into SASs. The paper focuses on the capabilities of large language models in data comprehension and logical reasoning.

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generative aiself-adaptive systemslarge language modelsdata comprehensionlogical reasoningAI AgentsLarge Language ModelsContent EngineeringSemantic Interoperability
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Generative AI for Self-Adaptive Systems: State of the Art and Research Roadmap | Aramai