Parent State ID: 220
State Depth: 25
Action Taken: (move-curb-to-car car_1 curb_2 car_3)
Action Reasoning: To achieve the goal state, we should continue rearranging cars based on their current and desired positions. The next logical step is to place car_2 into its proper position on curb_2 from curb_1. Since curb_2 contains car_1, which should be placed at curb_1, a swap between these two cars seems appropriate. We have to move car_1 to an empty curb for an intermediary step via double parking.
State Description: Curb_0 contains car_0, clear. Curb_1 contains car_2, clear. Curb_2 is empty. Curb_3 contains car_3 with car_1 double parked behind it; car_3 is not clear, car_1 is clear. Car_0 is parked and clear. Car_1 is double parked and clear. Car_2 is parked and clear. Car_3 is parked and not 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)', '(move-car-to-curb car_3 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_2 curb_1 car_3)', '(move-car-to-curb car_2 car_3 curb_1)', '(move-curb-to-car car_2 curb_1 car_1)', '(move-car-to-curb car_2 car_1 curb_1)', '(move-curb-to-car car_1 curb_2 car_3)']

successfully verified the action of new state 228 with the path: The last action `(move-curb-to-car car_1 curb_2 car_3)` is valid as all preconditions are met, and the effects are correctly reflected in the current state. The natural language description, diagram encoding, and visualization of the current state are accurate and consistent with the sequence of actions taken.
