The main condition which required for alpha-beta pruning is?a.alpha<=betab.alpha!=betac.alpha=betad.alpha>=beta

Understanding Alpha-Beta Pruning

Alpha-beta pruning is an optimization technique for minimax algorithms typically used in two-player games. It helps to reduce the number of nodes evaluated in the search tree.

Key Condition

The main condition required for alpha-beta pruning to be effective is related to the bounds in the minimax algorithm:

• Alpha (α) represents the minimum score that the maximizing player is assured of at that level or above.
• Beta (β) represents the maximum score that the minimizing player is assured of at that level or above.

Verification of Conditions

The condition required for alpha-beta pruning is that: $\alpha \leq \beta$ This means that:

• If at any point during the evaluation of the game tree, α becomes greater than β, it indicates that the current path can be pruned (i.e., skipped) because the maximizing player would not choose this path.

Final Answer

The main condition required for alpha-beta pruning is: a. $\alpha \leq \beta$.