Best first Search in artificial intelligence?

Best First Search is a search algorithm that explores a graph by expanding the most promising node based on a specified evaluation function. It utilizes a priority queue to prioritize nodes, typically using heuristics to estimate the cost from the current node to the goal. This approach is often more efficient than uninformed search methods, as it directs the search towards the most promising paths. However, its performance heavily depends on the quality of the heuristic used.