Artificial Intelligence and Robotics (AIR) MCQs with answers Page - 10

Here, you will find a collection of MCQ questions on Artificial Intelligence and Robotics (AIR). Go through these questions to enhance your preparation for upcoming examinations and interviews.

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Q. Arc consistency in AO graph is concernd with ____________________

  • (A) nodes
  • (B) finding consistent values for pairs of variables.
  • (C) unary constraint
  • (D) all of the above

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Q. How can we convert AO graph with mixed nodes into graph with pure AND and OR nodes?

  • (A) by traversing multiple node
  • (B) by deleting one of the node
  • (C) by addition of extra node
  • (D) none of the above

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Q. Production/Rule looks like_________

  • (A) pattern-->data
  • (B) action-->data
  • (C) pattern-->action
  • (D) none of the above

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Q. Tabu search is designed _________

  • (A) as it does not follow aspiration criteria
  • (B) to escape the trap of local optimality.
  • (C) to unrecord forbidden moves, which are referred to as tabu moves.
  • (D) all of the above

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Q. Which is not problem in Hill climing?

  • (A) plateau
  • (B) ridges
  • (C) local maximum
  • (D) landscape

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Q. Is the below statement true for the domain of positive integers ∀p ∃q ( p + q = 7)

  • (A) yes
  • (B) no
  • (C) ---
  • (D) ---

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Q. Which of the following is a sound rule of inference?

  • (A) q ∧ (p → q) → p
  • (B) p → (p ∨ q)
  • (C) q ∨ (p → q) → p
  • (D) all of above

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Q. ∀x ∃ y P(x,y) ≡ ∃ y ∀ x P(x,y)

  • (A) yes
  • (B) no
  • (C) ---
  • (D) ---

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Q. Is ∀z S(x,y) a well-formed formula?

  • (A) yes
  • (B) no
  • (C) ---
  • (D) ---

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Q. Goal Stack Planning breaks up a ______________________________

  • (A) initial state
  • (B) stack in different part
  • (C) set of goal predicates into individual subgoals
  • (D) all of the above

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