Artificial Intelligence MCQs

Page No. 24

A genetic algorithm (or GA) is a variant of stochastic beam search in which successor states are generated by combining two parent states, rather than by modifying a single state.


aTrue

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bFalse

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cA & B

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dNone of these

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View Answer True

___________ algorithm keeps track of k states rather than just one.


aHill-Climbing search

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b Local Beam search

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cStochastic hill-climbing search

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dRandom restart hill-climbing search

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View Answer Local Beam search

Hill-Climbing approach stuck for which of the following reasons?


a Local maxima

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bRidges

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cPlateaux

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dAll of the mentioned

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View Answer All of the mentioned

Hill climbing sometimes called ____________ because it grabs a good neighbor state without thinking ahead about where to go next.


aNeedy local search

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bHeuristic local search

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cGreedy local search

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dOptimal local search

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View Answer Greedy local search

Stochastic hill climbing chooses at random from among the uphill moves; the probability of selection can vary with the steepness of the uphil1 move.


aTrue

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b False

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cA & B

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dNone of these

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View Answer True

What are the main cons of hill-climbing search?


aTerminates at local optimum & Does not find optimum solution

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bTerminates at global optimum & Does not find optimum solution

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c Does not find optimum solution & Fail to find a solution

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dFail to find a solution

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When will Hill-Climbing algorithm terminate?


aStopping criterion met

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bGlobal Min/Max is achieved

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cNo neighbor has higher value

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d All of the mentioned

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_______________ Is an algorithm, a loop that continually moves in the direction of increasing value – that is uphill.


aUp-Hill Search

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bHill-Climbing

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c Hill algorithm

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dReverse-Down-Hill search

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View Answer Hill-Climbing

A complete, local search algorithm always finds goal if one exists, an optimal algorithm always finds a global minimum/maximum.


aTrue

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bFalse

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cA & B

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dNone of these

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View Answer True

Though local search algorithms are not systematic, key advantages would include __________


aLess memory

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b More time

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cFinds a solution in large infinite space

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dLess memory & Finds a solution in large infinite space

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