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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.
AnsweredAdmin asked 5 years ago • 
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What are the main cons of hill-climbing search?
AnsweredAdmin asked 5 years ago • 
196 views1 answers-3 votes
When will Hill-Climbing algorithm terminate?
AnsweredAdmin asked 5 years ago • 
257 views1 answers2 votes
_______________ Is an algorithm, a loop that continually moves in the direction of increasing value – that is uphill.
AnsweredAdmin asked 5 years ago • 
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A complete, local search algorithm always finds goal if one exists, an optimal algorithm always finds a global minimum/maximum.
AnsweredAdmin asked 5 years ago • 
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Though local search algorithms are not systematic, key advantages would include __________
AnsweredAdmin asked 5 years ago • 
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In many problems the path to goal is irrelevant, this class of problems can be solved using ____________
AnsweredAdmin asked 5 years ago • 
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Which is used to provide the feedback to the learning element?
AnsweredAdmin asked 5 years ago • 
1264 views1 answers1 votes
Where does the performance measure is included?
AnsweredAdmin asked 5 years ago • 
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Which environment is called as semi dynamic?
AnsweredAdmin asked 5 years ago • 
148 views1 answers-1 votes
Which is used to select the particular environment to run the agent?
AnsweredAdmin asked 5 years ago • 
106 views1 answers-1 votes
What kind of behavior does the stochastic environment posses?
AnsweredAdmin asked 5 years ago • 
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What kind of environment is crossword puzzle?
AnsweredAdmin asked 5 years ago • 
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What kind of environment is strategic in artificial intelligence?
AnsweredAdmin asked 5 years ago • 
121 views1 answers0 votes
What kind of observing environments are present in artificial intelligence?
AnsweredAdmin asked 5 years ago • 
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