Alpha-beta pruning is a modified version of the?a.maximax algorithmb.minimax algorithmc.minimin algorithmd.maximin algorithm

To determine which algorithm alpha-beta pruning is a modified version of, let's analyze the options:

1. Maximax Algorithm: This algorithm is used in decision-making under uncertainty, where the maximization strategy is applied to maximize the potential maximum outcome. However, it does not align with the minimization aspects needed for pruning.

2. Minimax Algorithm: This is a decision-making algorithm primarily used in two-player games. It involves minimizing the possible loss for a worst-case scenario. Alpha-beta pruning is an optimization technique for the minimax algorithm that eliminates branches that don't need to be examined. This allows the algorithm to run faster while still guaranteeing the same results.

3. Minimin Algorithm: This is not a commonly referenced algorithm in the context of game theory or AI, and does not relate directly to the minimax functionality.

4. Maximin Algorithm: This is similar to the minimax, focusing on maximizing the minimum gain. While it shares some similarities, it is not the primary focus for alpha-beta pruning.

Based on this analysis, the correct answer is:

Final Answer

b. minimax algorithm