AP BIOLOGY

Detailed explanation-1: -1. Which search is equal to minimax search but eliminates the branches that can’t influence the final decision? Explanation: The alpha-beta search computes the same optimal moves as minimax, but eliminates the branches that can’t influence the final decision.

Detailed explanation-2: -1 Answer. The explanation is: The minimax search is depth-first search, So at one time we just have to consider the nodes along a single path in the tree.

Detailed explanation-3: -The min max algorithm in AI, popularly known as the minimax, is a backtracking algorithm used in decision making, game theory and artificial intelligence (AI). It is used to find the optimal move for a player, assuming that the opponent is also playing optimally.

Detailed explanation-4: -Under the minimax heuristic, the computer further assumes that its adversary will use the same evaluation function as it does, and will make the best move possible for it, resulting in the worst possible position for the computer.

Detailed explanation-5: -The correct answer is option 3. Statement (A): Minimax search is breadth-first: it processes all the nodes at a level before moving to a node in the next level. But it is a depth-first search.