Agentic AI: Advancing Autonomous Decision-Making and Adaptive Intelligence in Complex Systems

Ekaksh Goyal

Abstract: Agentic AI represents a significant evolution beyond reactive or narrow AI, enabling systems to autonomously perceive, plan, and act within complex environments. Integrating technologies like multi-agent reinforcement learning, neuro-symbolic reasoning, and hierarchical planning, these agents demonstrate contextual understanding and adaptive behavior across domains such as healthcare, finance, defense, and smart cities. However, deployment poses challenges around alignment, explainability, cultural adaptation, and environmental costs. Empirical insights from India highlight both enthusiasm and concerns regarding trust and linguistic diversity. As Agentic AI advances, multidisciplinary collaboration is crucial to ensure ethical, transparent, and socially aligned integration.

Keywords: Agentic AI, autonomous systems, contextual reasoning, ethical AI, India survey

How to Cite?: Ekaksh Goyal, "Agentic AI: Advancing Autonomous Decision-Making and Adaptive Intelligence in Complex Systems", Volume 14 Issue 8, August 2025, International Journal of Science and Research (IJSR), Pages: 100-105, https://www.ijsr.net/getabstract.php?paperid=SR25713112356, DOI: https://dx.doi.org/10.21275/SR25713112356