Applications of Alpha-Beta Pruning
Alpha-Beta pruning is widely used in AI applications for two-player games such as:
- Chess: Enhances the efficiency of chess engines, allowing them to evaluate deeper moves within time constraints.
- Checkers: Optimizes move evaluation in checkers, making AI opponents more challenging.
- Othello: Improves decision-making processes in Othello, leading to stronger AI strategies.
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.