Agentic AI: A Paradigm for Autonomous Decision-Making

Abstract

In this paper, we explore the paradigm of Agentic AI, where generative AI systems are not limited to generate responses but become the agent in autonomous and context aware decisions. It discusses defining characteristics, architectural components, and the ethical considerations; real world applications included in autonomous vehicles, collaborative robots and personalized services. Challenges such as scalability and interpretability, as well as future opportunities such as interdisciplinary research and general-purpose adaptability, are also identified in the paper. In emerging arche of Agentic AI, dynamic decision making is addressed by methodological needs in industries.