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Dear candidates you will find MCQ questions of Artificial Intelligence and Robotics (AIR) here. Learn these questions and prepare yourself for coming examinations and interviews. You can check the right answer of any question by clicking on any option or by clicking view answer button.

Q. 61) The start node for search in plan space planning is______

(A) bfs
(B) dfs
(C) both dfs and bfs
(D) a*
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Q. 62) In which chaining, the Left-Hand side is used to match the rules and Right-Hand side is used to check the effect of using the rule.

(A) forward chaining
(B) backward chaining
(C) reverse chaining
(D) both b & c
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Q. 63) The components of Expert system are?

(A) a set of rules, the inference engine (ie), forward chaining
(B) a set of rules, backward chaining, a working memory (wm)
(C) a set of rules, the inference engine (ie), a working memory (wm)
(D) a set of rules, forward chaining, backward chaining
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Q. 64) What is true about Artificial Intelligence?

(A) the ability to solve problems”.
(B) the ability to act rationally.
(C) the ability to act like humans
(D) all of the above
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Q. 65) Which of the following are Informed search algorithms?

(A) best first search
(B) a* search
(C) iterative deeping search
(D) both a & b
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Q. 66) If there is a solution, breadth first search is _______________to find it

(A) difficult
(B) guaranteed
(C) not able to find
(D) none of the above
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Q. 67) Which search strategy is combining the benefits of both BFS and DFS?

(A) depth limited search
(B) a*
(C) iterative deepening depth first search
(D) best first search
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Q. 68) Admissibility of the heuristic function is given as:

(A) h(n)>= h*(n)
(B) h(n)< h*(n)
(C) h(n)== h*(n)
(D) h(n)<= h*(n)
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Q. 69) The efficiency of A* algorithm depends on ___________________

(A) depth
(B) the quality of heuristic
(C) unknown nodes
(D) none of the above
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Q. 70) What is the termination criteria in Hill climbing?

(A) when no successor of the node has better heuristic value.
(B) when successor of the node has better heuristic value.
(C) when no ancestor of the node has better heuristic value.
(D) when ancestor of the node has better heuristic value.
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