Search Algorithm in AI

In artificial intelligence, search algorithms are techniques used to traverse a problem space to find a solution. These algorithms systematically explore possible states, applying rules or actions to move from one state to another until a goal state is reached. Common search algorithms include breadth-first search (BFS), depth-first search (DFS), uniform-cost search (UCS), and A* search. They differ in their strategies for selecting which states to explore next, such as prioritizing nodes based on cost or heuristic estimates. Search algorithms are fundamental in various AI applications, including pathfinding, puzzle-solving, and game playing.