Artificial Intelligence has its expansion in the following application. (Mark all that apply) a) Planning and Scheduling b) Game Playing c) Diagnosis d) Robotics e) All of the above

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An agent is composed of, a) Architecture b) Agent Function c) Perception Sequence d) Architecture and Program

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Hill-Climbing algorithm terminates when, a) Stopping criterion met b) Global Min/Max is achieved c) No neighbor has higher value d) Local Min/Max is achieved

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In top-down inductive learning methods how many literals are available? What are they?

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Hill climbing sometimes called ____________ because it grabs a good neighbor state without thinking ahead about where to go next. a) Needy local search b) Heuristic local search c) Greedy local search d) Optimal local search

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how we install a artificial intelligence software to our computer ?

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What are actuators in the robotics?

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Which technology uses miniaturized accelerometers and gyroscopes? a) Sensors b) Actuators c) MEMS d) None of the mentioned

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What are expert systems limitations?

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In hmm’s, what are the possible values of the variable?

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for online search in ‘artificial intelligence’ which search agent operates by interleaving computation and action?

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Hill-Climbing approach stuck for the following reasons a) Local maxima b) Ridges c) Plateaux d) All of above

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