Uncertain Knowledge and Reasoning MCQs Artificial Intelligence

By: Prof. Fazal Rehman Shamil
Last modified on November 29th, 2020

Uncertain Knowledge and Reasoning solved  MCQs of Artificial Intelligence (Questions and Answers ).

Which of the following is the hypothesis states that it should be positive, but in fact it is negative?

(A). A consistent hypothesis

(B). A false negative hypothesis

(C). A false positive hypothesis

(D). A specialized hypothesis

(E). None of these

MCQ Answer: c


Using logic to show and the reason we can show knowledge about the world with facts and rules.

(A). True

(B). False

(c). Partially True

MCQ Answer: a


Uncertainty happens in the wumpus world because the agent’s sensors deliver only and only Which of the following information?

(A). Full and Global

(B). Partial and Global

(C). Partial and local

(D). Full and local

(E). None of these

MCQ Answer: c


Which of the following is true in the case of Decision theory?

(A). Decision Theory = utility theory+Probability theory

(B). Decision Theory = utility theory + Inference theory

(C). Decision Theory = utility theory+Uncertainty

(D). Decision Theory =  preference+Probability theory

MCQ Answer: c


Which of the following is a constructive approach in which no commitment is done unless it is very important to do so is the …………approach.

(A). Least commitment

(B). Most commitment

(C). Nonlinear planning

(D). Opportunistic planning

(E). None of these

MCQ Answer: a


The Fuzzy Logic dissimilar from conventional control methods?

(A). IF and THEN Approach

(B). FOR Approach

(C). WHILE Approach

(D). DO Approach

(E). None of these

MCQ Answer: a


The primitives in probabilistic reasoning are random variables.

(A). True

(B). False

(c). Partially True

MCQ Answer: a

Artificial Intelligence

  1. SET 1: Artificial Intelligence MCQs
  2. SET 2: Artificial Intelligence MCQs
  3. SET 3: Artificial Intelligence MCQs
  4. SET 4: Artificial Intelligence MCQs
  5. SET 5: Agent Architecture MCQs Artificial Intelligence  NEW
  6. SET 6: Agents MCQs | Artificial Intelligence NEW
  7. SET 7: Alpha Beta Pruning MCQs | Artificial Intelligence   NEW
  8. SET 8: Backward Chaining MCQs | Artificial Intelligence NEW
  9. Forward Chaining MCQs | Artificial Intelligence NEW
  10. SET 9: Bayesian Networks MCQs | Artificial Intelligence NEW
  11. SET 10: Communication | Artificial Intelligence MCQs NEW
  12. Artificial Intelligence | Environments MCQs NEW
  13. Graph Planning MCQs | Artificial Intelligence NEW
  14. Hidden Markov Model MCQs | Artificial Intelligence NEW
  15. Image Perception MCQs | Artificial Intelligence NEW
  16. Uninformed Search Strategy MCQs | Artificial Intelligence NEW
  17. Inductive logic programming MCQs | Artificial Intelligence NEW
  18. Informed Search Strategy MCQs | Artificial Intelligence NEW
  19. Learning MCQs Artificial Intelligence NEW
  20. Object Recognition MCQs Artificial Intelligence NEW
  21. Online Search Agent MCQs Artificial Intelligence NEW
  22. Uncertain Knowledge and Reasoning MCQs Artificial Intelligence NEW
Prof. Fazal Rehman Shamil
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