In online search, it will first take action and then observes the environment.
The correct answer for the question “For online search in ‘Artificial Intelligence’, which search agent operates by interleaving computation and action?” would be “Real-time search agent.”
Real-time search agents continuously interleave computation with action, making decisions based on the current state of the environment and updating their search as new information becomes available. These agents are often used in domains where decisions must be made quickly and adaptively, such as in robotics or real-time strategy games. They differ from traditional offline search algorithms by not waiting for the entire search space to be explored before taking action, but rather making decisions incrementally based on partial information.