Informed Search and Exploration MCQs of Artificial Intelligence(Questions Answers).
1. Select the space complexity of Greedy search?
(A). O((B).
(B). O(bl)
(C). O(m)
(D). O(bm)
(E). None of these
MCQ Answer: d
2. Which of the following is the evaluation function in A* method?
(A). Heuristic function
(B). Path cost from starting node to the present node
(C). Path cost from starting node to the present node and Heuristic cost
(D). Average of Path cost from starting node to the present node and Heuristic cost
(E). None of these MCQ Answer: c
3. A* is optimal if h(n) is an admissible heuristic-that is, provided that h(n) never undervalues the cost to reach the goal.
(A). True
(B). False
(C). Partially true
MCQ Answer: a
4. Best-First search can be coded with the help of which of the following data structure.
(A). Queue
(B). Stack
(C). Priority Queue
(D). Circular Queue
(E). None of these
MCQ Answer: c
5. The name “best-first search” is a good algorithm but an inaccurate one. After all, if we could actually enlarge the best node first, it would not be a search at all; it would be a straight march to the goal. All we can do is to select the node that seems to be best according to the evaluation function.
(A). True
(B). False
(C). Partially true
MCQ Answer: a
6. A* algorithm is based on which of the following?
(A). Breadth-First-Search
(B). Depth-First –Search
(C). Best-First-Search
(D). Hill climbing
(E). None of these
MCQ Answer: c
7. Which of the following is the search strategy the uses a problem specific knowledge?
(A). Informed Search
(B). Best First Search
(C). Heuristic Search
(D). All of these
(E). None of these
MCQ Answer: d
8. Uninformed search strategies are healthier than informed search strategies.
(A). True
(B). False
(C). Partially true
MCQ Answer: a
9. Greedy search strategy chooses the node for expansion in which of the following?
(A). Shallowest
(B). Deepest
(C). The one closest to the goal node
(D). Minimum heuristic cost
(E). None of these
MCQ Answer: c
10.Best-First search is a type of informed search, which uses evaluation function ………. to choose the best next node for expansion.
(A). returning lowest evaluation
(B). returning highest evaluation
(C). returning lowest and highest evaluation
(D). None of these
MCQ Answer: a
11. The heuristic function h(n) is which of the following?
(A). Lowest path cost
(B). The cheapest path from the root to the goal node
(C). The estimated cost of the cheapest path from the root node to the goal node
(D). Average path cost
(E). None of these MCQ Answer: c
12. A heuristic is a method of trying to discover/search or compare?
(A). To discover something or an idea embedded in a program
(B). To search and measure how far a node in a search tree seems to be from a goal
(C). To compare two nodes in a search tree to see if one is better than another
(D). All of these
(E). None of these
MCQ Answer: d
13. Which of the following is the evaluation function in the greedy technique?
(A). Heuristic function
(B). Path cost from starting node to the current node
(C). Path cost from starting to current node and Heuristic cost
(D). Average of Path cost from starting node to the current node and Heuristic cost
(E). None of these
MCQ Answer: a
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