State space search in Artificial Intelligence refers to the systematic exploration of all possible states and transitions within a problem to find a solution. It involves navigating through a problem's state space, which represents the set of all possible states, using various search algorithms such as breadth-first search, depth-first search, uniform cost search, and A* search. The goal is to find an optimal or satisfactory solution by evaluating different paths and transitions in the state space.
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