Parent State ID: 109
State Depth: 9
Action Taken: (move-curb-to-car car_2 curb_0 car_1)
Action Reasoning: car2 is currently in curb_0 but needs to be in curb_2 according to the goal state. By moving car2 from curb_0 to be double parked behind car1 in curb_2, I position car2 close to its final curb while still freeing up curb_0.
State Description: Curb_0: empty and clear.Curb_1: car_0 is parked and clear.Curb_2: car_1 is parked, and car_2 is double parked behind car_1; car_1 is not clear, car_2 is clear.Curb_3: car_3 is parked and clear.
Action Path: ['(move-curb-to-curb car_3 curb_2 curb_3)', '(move-car-to-curb car_1 car_2 curb_2)', '(move-curb-to-car car_0 curb_1 car_2)', '(move-car-to-curb car_0 car_2 curb_1)', '(move-curb-to-car car_0 curb_1 car_2)', '(move-car-to-curb car_0 car_2 curb_1)', '(move-curb-to-car car_0 curb_1 car_3)', '(move-car-to-curb car_0 car_3 curb_1)', '(move-curb-to-car car_2 curb_0 car_1)']

successfully verified the action of new state 124 with the path: The last action `(move-curb-to-car car_2 curb_0 car_1)` is valid because all preconditions are met in the parent state, and the effects are correctly reflected in the current state. The natural language description and visualization of the current state are accurate, with all objects from the initial state present and correctly represented.
