Research Title: Agentic AI: Autonomous Decision-Making Systems for Next-Generation Intelligent Applications

Agentic Artificial Intelligence (Agentic AI) marks a transition from passive forms of artificial intelligence towards self-determining entities that are capable of making decisions, planning actions and executing them in an autonomous manner. Instead of reacting to programmed inputs like other forms of AI, Agentic AI uses reasoning, memory and multi-stage problem-solving to function independently in changing circumstances. Emergence of large language models, advances in reinforcement learning algorithms and tools-assisted AI designs have enabled scientists to design agentic systems that are capable of complex operations, such as software development, automation of research and decision-making in real-time environments. But with more autonomy comes the risk of reliability issues, alignment problems, safety concerns and regulation complications. In this paper, we discuss the fundamentals of Agentic AI, its structure and functionality, as well as some of its use-cases in various industries. We also consider the challenges posed by the autonomous nature of Agentic AI and discuss solutions to create safe and scalable agentic AI systems.