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Q & A › Author "mbera-1990"
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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.
AnsweredAdmin asked 5 years ago • 
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___________ algorithm keeps track of k states rather than just one.
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Hill-Climbing approach stuck for which of the following reasons?
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Hill climbing sometimes called ____________ because it grabs a good neighbor state without thinking ahead about where to go next.
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Stochastic hill climbing chooses at random from among the uphill moves; the probability of selection can vary with the steepness of the uphil1 move.
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What are the main cons of hill-climbing search?
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When will Hill-Climbing algorithm terminate?
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_______________ Is an algorithm, a loop that continually moves in the direction of increasing value – that is uphill.
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A complete, local search algorithm always finds goal if one exists, an optimal algorithm always finds a global minimum/maximum.
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Though local search algorithms are not systematic, key advantages would include __________
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In many problems the path to goal is irrelevant, this class of problems can be solved using ____________
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Which is used to provide the feedback to the learning element?
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Where does the performance measure is included?
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Which environment is called as semi dynamic?
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Which is used to select the particular environment to run the agent?
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