From Textbooks to Real Labs: How Agentic AI & Adaptive A* Are Reshaping Intelligent Systems

👋 Introduction Hi! I'm Yasir Ali, a CS student at FAST-NUCES. This blog is part of my AI course assignment where I analyzed two cutting-edge research papers and connected them to core course concepts — Search Algorithms, Intelligent Agents, and CSPs. The two papers I chose: •Paper 1: "The Rise of Agentic AI: A Review of Definitions, Frameworks, and Challenges" (2025) •Paper 2: "Research on the A* Algorithm Based on Adaptive Weights" (2025) I used Google NotebookLM alongside manual reading — a workflow I now recommend to every AI student. Here's what I found. 📄 Paper 1: The Rise of Agentic AI (2025) What Is It About? This paper surveys over 80 definitions of 'AI agents' and proposes a unified framework for Agentic AI — systems that autonomously plan, act, and adapt to achieve long-horizon goals. The authors classify agents along four dimensions: Autonomy, Reactivity, Proactiveness, and Social Ability. 🔗 Course Connection In our AI course, we classify agents from Simple Reflex → Model-Ba