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Understanding Modern AI: Adaptive A* Search and Agentic Ai
How-ToMachine Learning

Understanding Modern AI: Adaptive A* Search and Agentic Ai

via Dev.to24P-0578 Fatima Zoalfqar12h ago

Introduction: Artificial Intelligence is developing very quickly. Researchers are constantly improving AI algorithms and systems. In our AI course we studied topics like search algorithms and intelligent agents. In this blog, I explored two research papers related to these topics. The first paper improves the A* search algorithm and the second paper explains the concept of Agentic AI. ** Paper 1: Adaptive A* Search Algorithm: ** The A* algorithm is one of the most common search algorithms used in artificial intelligence. It is used to find the best or shortest path between two points. The algorithm uses two values: the actual cost from the start node and the estimated distance to the goal. Sometimes the algorithm explores many unnecessary paths which can make the search slower. The research paper “Research on the A Algorithm Based on Adaptive Weights (2025)”* improves the algorithm by introducing adaptive weights. This means the importance of the heuristic value can change during the s

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