Which search method divides the search space in half to locate an answer more quickly?

Which search method divides the search space in half to locate an answer more quickly?

• A. Heuristic Search
• B. Adversarial Search
• C. Binary Search
• D. Frame Problem

Answer: (C)

Binary search halves the search space at each step to find an item quickly. This method works on a sorted collection: compare the target with the middle element, then discard the half that cannot contain the target and continue with the remaining half. Repeating this process reduces the search area dramatically, giving a time complexity of about O(log n), which is why it’s much faster than checking items one by one in large datasets. Other approaches don’t inherently cut the space in half. Heuristic search uses knowledge about the domain to guide exploration but doesn't guarantee halving the search space. Adversarial search looks at game trees to anticipate opponent moves and uses strategies like minimax, not a binary halving procedure. The frame problem concerns representing and reasoning about actions in an environment, not about efficient search.

Binary search halves the search space at each step to find an item quickly. This method works on a sorted collection: compare the target with the middle element, then discard the half that cannot contain the target and continue with the remaining half. Repeating this process reduces the search area dramatically, giving a time complexity of about O(log n), which is why it’s much faster than checking items one by one in large datasets.

Other approaches don’t inherently cut the space in half. Heuristic search uses knowledge about the domain to guide exploration but doesn't guarantee halving the search space. Adversarial search looks at game trees to anticipate opponent moves and uses strategies like minimax, not a binary halving procedure. The frame problem concerns representing and reasoning about actions in an environment, not about efficient search.