#1. Alpha Beta Pruning Search Algorithm | Alpha Beta Cutoff Solved Example AI by Vidya Mahesh Huddar

#1. Alpha Beta Pruning Cutoff Search Algorithm Solved Example 1 Artificial Intelligence by Vidya Mahesh Huddar

Consider the two-player game tree in which the static scores are given from the first player's point of view.
Apply the alpha-beta pruning and compute the value of the root of the tree.
Also, find the most convenient path for MAX Node.

𝑨𝒍𝒑𝒉𝒂(𝜶)−𝑩𝒆𝒕𝒂(𝜷) proposes to find the optimal path without looking at every node in the game tree.
Max contains 𝑨𝒍𝒑𝒉𝒂(𝜶) and Min contains 𝑩𝒆𝒕𝒂(𝜷) bound during the calculation.
In both MIN and MAX nodes, we return when 𝜶≥𝜷 which compares with its parent node only.
Both minimax and 𝑨𝒍𝒑𝒉𝒂(𝜶)−𝑩𝒆𝒕𝒂(𝜷) cut-off give same path
𝑨𝒍𝒑𝒉𝒂(𝜶)−𝑩𝒆𝒕𝒂(𝜷) gives optimal solution as it takes less time to get the value for the root node.

The following concepts are discussed:
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