Advantages of Alpha-Beta Pruning
- Efficiency: Alpha-beta pruning significantly reduces the number of nodes evaluated compared to the basic minimax algorithm, making the search process faster.
- Optimality: Despite pruning, alpha-beta pruning does not affect the final decision; it still guarantees finding the optimal move.
Alpha-Beta pruning in Adversarial Search Algorithms
In artificial intelligence, particularly in game playing and decision-making, adversarial search algorithms are used to model and solve problems where two or more players compete against each other. One of the most well-known techniques in this domain is alpha-beta pruning.
This article explores the concept of alpha-beta pruning, its implementation, and its advantages and limitations.