17. Greedy Best First Search Algorithm | Artificial Intelligence | CSE

This lecture is a part of a lecture series given by Ms Ishika on Artificial intelligence for Computer Science Engineering students at Binary Institute. Description Greedy Best First Search Algorithm is an important search technique in Artificial Intelligence that focuses on selecting the most promising node based on a heuristic function. In this video, we explore how this algorithm works by always choosing the path that appears closest to the goal, making it faster in many scenarios. You will learn about how the heuristic function h(n) guides the search, the working process of node expansion, and how this approach differs from algorithms like A*. We also discuss its advantages, such as speed and simplicity, along with limitations like lack of optimality and the possibility of getting stuck in suboptimal paths. This topic is especially important for Computer Science Engineering (CSE) students, as it helps build a clear understanding of heuristic-based search strategies and their applications in real-world problem-solving. #GreedyBestFirstSearch #ArtificialIntelligence #CSE #SearchAlgorithms #AI #HeuristicSearch #Pathfinding