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# Artificial Intelligence MCQ – Uncertain Knowledge and Reasoning

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

a) True

b) False

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Answer: a

Explanation: None.

Uncertainty arises in the wumpus world because the agent’s sensors give only ___________

a) Full & Global information

b) Partial & Global Information

c) Partial & local Information

d) Full & local information

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Answer: c

Explanation: The Wumpus world is a grid of squares surrounded by walls, where each square can contain agents and objects. The agent (you) always starts in the lower left corner, a square that will be labeled [1, 1]. The agent’s task is to find the gold, return to [1, 1] and climb out of the cave. So uncertainty is there as the agent gives partial and local information only. Global variable are not goal specific problem solving.

A Hybrid Bayesian network contains ___________

a) Both discrete and continuous variables

b) Only Discrete variables

c) Only Discontinuous variable

d) Both Discrete and Discontinuous variable

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Answer: a

Explanation: To specify a Hybrid network, we have to specify two new kinds of distributions: the conditional distribution for continuous variables given discrete or continuous parents, and the conditional distribution for a discrete variable given continuous parents.

How is Fuzzy Logic different from conventional control methods?

a) IF and THEN Approach

b) FOR Approach

c) WHILE Approach

d) DO Approach

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Answer: a

Explanation: FL incorporates a simple, rule-based IF X AND Y THEN Z approach to a solving control problem rather than attempting to model a system mathematically.

If a hypothesis says it should be positive, but in fact it is negative, we call it ___________

a) A consistent hypothesis

b) A false negative hypothesis

c) A false positive hypothesis

d) A specialized hypothesis

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Answer: c

Explanation: Consistent hypothesis go with examples, If the hypothesis says it should be negative but in fact it is positive, it is false negative. If a hypothesis says it should be positive, but in fact it is negative, it is false positive. In a specialized hypothesis we need to have certain restrict or special conditions.

The primitives in probabilistic reasoning are random variables.

a) True

b) False

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Answer: a

Explanation: The primitives in probabilistic reasoning are random variables. Just like primitives in Propositional Logic are propositions. A random variable is not in fact a variable, but a function from a sample space S to another space, often the real numbers.

Which is true for Decision theory?

a) Decision Theory = Probability theory + utility theory

b) Decision Theory = Inference theory + utility theory

c) Decision Theory = Uncertainty + utility theory

d) Decision Theory = Probability theory + preference

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Answer: c

Explanation: The Wumpus world is a grid of squares surrounded by walls, where each square can contain agents and objects. The agent (you) always starts in the lower left corner, a square that will be labeled [1, 1]. The agent’s task is to find the gold, return to [1, 1] and climb out of the cave. So uncertainty is there as the agent gives partial and local information only. Global variable are not goal specific problem solving.

A constructive approach in which no commitment is made unless it is necessary to do so is ___________

a) Least commitment approach

b) Most commitment approach

c) Nonlinear planning

d) Opportunistic planning

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Answer: a

Explanation: Because we are not sure about the outcome.