How Alpha Beta Pruning in Artificial Intelligence Works
Pickl AI
FEBRUARY 10, 2025
Summary : Alpha beta pruning in Artificial Intelligence optimizes decision-making by skipping branches that cannot improve outcomes. It maintains the same result as minimax but significantly reduces computation time. By combining it with heuristics and Machine Learning, developers achieve faster, deeper searches, enabling robust, real-time AI performance across complex game and planning scenarios.
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