Lesson Backtracking algorithms
Backtracking algorithms
- Backtracking is an algorithmic technique used to solve constrained problems, like puzzles or board games, by incrementally building potential solutions. If a partial solution fails, it backtracks to a previous step, attempting different options. It explores all potential paths in a 'tree of choices' until it finds a solution or exhausts all options. The key applications include abstract games like Go or peg solitaire.
- Recommended reading:
- Backtracking: An algorithmic technique that incrementally builds solutions and abandons paths that fail to meet criteria.
- Tree of Choices: A conceptual tree where each node represents a possible move or decision in a problem.
- Peg Solitaire: A single-player board game used here to demonstrate backtracking, where pegs jump over each other to empty holes.
- AlphaGo: An AI by Google DeepMind that uses tree search and backtracking principles to play the board game Go.
- Leaf Nodes: In backtracking, leaf nodes represent potential end states, which can be winning or losing configurations.
- Recursive Step: The part of backtracking where the algorithm explores potential moves or decisions from the current state.