Posted on by Rafael Scapin

AI Agents vs. Agentic AI: A Conceptual Taxonomy, Applications and Challenge

This study distinguishes AI Agents—modular, LLM-driven tools for narrow tasks—from Agentic AI, which enables autonomous, multi-agent collaboration with dynamic memory and task decomposition. It offers a comparative taxonomy, explores application domains, and addresses challenges with proposed solutions to guide scalable, explainable AI development.

https://arxiv.org/abs/2505.10468

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