State Space Search is a problem-solving technique used in computer science and artificial intelligence. It involves exploring a set of possible states or configurations to find a solution to a specific problem. Each state represents a unique configuration, and the search process moves from one state to another through defined actions or transitions. In this approach, algorithms like Depth-First Search or Breadth-First Search systematically explore the state space. The goal is to reach a target state, which represents the solution. State space search is commonly applied in areas such as pathfinding, game playing, and automated planning.