Parent State ID: 142
State Depth: 17
Action Taken: (move-curb-to-curb car_1 curb_3 curb_2)
Action Reasoning: Car 3 is clear and positioned behind car 2, which is not clear. To move closer to the goal state, we need to return car 3 to its correct parking spot on curb_3. First, clear curb_3 by moving car 1 to curb_2.We'll do this move-curb-to-curb of car 1 from curb_3 to curb_2 not used before.
State Description: Curb_0 contains car_0, clear. Curb_1 contains car_2, not clear, with car_3 double parked behind it. Curb_2 contains car_1, clear. Curb_3 is clear. Car_0 is parked and clear. Car_1 is parked and clear. Car_2 is parked and not clear. Car_3 is double parked and clear.
Action Path: ['(move-curb-to-car car_3 curb_0 car_1)', '(move-curb-to-curb car_0 curb_2 curb_0)', '(move-car-to-curb car_3 car_1 curb_2)', '(move-curb-to-car car_1 curb_3 car_2)', '(move-car-to-curb car_1 car_2 curb_3)', '(move-curb-to-car car_2 curb_1 car_3)', '(move-car-to-curb car_2 car_3 curb_1)', '(move-curb-to-car car_3 curb_2 car_1)', '(move-car-to-car car_3 car_1 car_2)', '(move-car-to-curb car_3 car_2 curb_2)', '(move-curb-to-car car_2 curb_1 car_3)', '(move-car-to-curb car_2 car_3 curb_1)', '(move-curb-to-car car_2 curb_1 car_3)', '(move-car-to-curb car_2 car_3 curb_1)', '(move-curb-to-car car_3 curb_2 car_1)', '(move-car-to-car car_3 car_1 car_2)', '(move-curb-to-curb car_1 curb_3 curb_2)']

successfully verified the action of new state 153 with the path: The last action `(move-curb-to-curb car_1 curb_3 curb_2)` is valid as all preconditions are met, and the effects are correctly reflected in the current state. The natural language description and visualization of the current state are accurate and consistent with the sequence of actions taken.
