Artificial Intelligence is evolving rapidly, especially in the fields of autonomous agents and intelligent search systems. As part of my AI coursework, I explored two recent research papers that connect strongly with the concepts we studied in class such as intelligent agents, search algorithms, optimization, and decision making. The two papers I selected were: “The Rise of Agentic AI: A Review of Definitions, Frameworks, and Challenges” (2025) “Research on the A* Algorithm Based on Adaptive Weights” (2025) To better understand these papers, I used Google NotebookLM to summarize difficult sections, explain technical terminology, and compare the papers with classroom concepts. This experience helped me realize how theoretical AI concepts are directly connected to real-world intelligent systems. Paper 1 — The Rise of Agentic AI The first paper focuses on Agentic AI, which refers to AI systems capable of acting autonomously with minimal human supervision.…