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AI solves a randomly shuffled Rubik’s Cube by:
1. State Representation: Encoding the cube's configuration.
2. Search Algorithms: Using BFS, A*, or IDDFS to find the solution.
3. Human-Inspired Methods: Applying strategies like CFOP or layer-by-layer solving.
4. Optimization Algorithms: Using Kociemba's or Thistlethwaite's methods for fewer moves.
5. Machine Learning: Training neural networks or reinforcement learning to predict moves.
6. Precomputed Tables: Referring to solved states for optimal moves (God’s Algorithm).
Efficient algorithms and heuristics ensure fast and accurate solutions.
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