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
- SET 1: Artificial Intelligence MCQs
- SET 2: Artificial Intelligence MCQs
- SET 3: Artificial Intelligence MCQs
- SET 4: Artificial Intelligence MCQs
- SET 5: Agent Architecture MCQs Artificial Intelligence NEW
- SET 6: Agents MCQs | Artificial Intelligence NEW
- SET 7: Alpha Beta Pruning MCQs | Artificial Intelligence NEW
- SET 8: Backward Chaining MCQs | Artificial Intelligence NEW
- Forward Chaining MCQs | Artificial Intelligence NEW
- SET 9: Bayesian Networks MCQs | Artificial Intelligence NEW
- SET 10: Communication | Artificial Intelligence MCQs NEW
- Artificial Intelligence | Environments MCQs NEW
- Graph Planning MCQs | Artificial Intelligence NEW
- Hidden Markov Model MCQs | Artificial Intelligence NEW
- Image Perception MCQs | Artificial Intelligence NEW
- Uninformed Search Strategy MCQs | Artificial Intelligence NEW
- Inductive logic programming MCQs | Artificial Intelligence NEW
- Informed Search Strategy MCQs | Artificial Intelligence NEW
- Learning MCQs Artificial Intelligence NEW
- Object Recognition MCQs Artificial Intelligence NEW
- Online Search Agent MCQs Artificial Intelligence NEW
- Uncertain Knowledge and Reasoning MCQs Artificial Intelligence NEW
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